Active rule base development for dynamic vertical partitioning of multimedia databases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Lisbeth Rodríguez-Mazahua, Giner Alor-Hernández, Xiaoou Li, Jair Cervantes, Asdrúbal López-Chau

ABSTRACT

Currently, vertical partitioning has been used in multimedia databases in order to take advantage of its potential benefits in query optimization. Nevertheless, most vertical partitioning algorithms are static; this means that they optimize a vertical partitioning scheme (VPS) according to a workload, but if this workload suffers changes, the VPS may be degraded, which would result in long query response time. This paper presents a set of active rules to perform dynamic vertical partitioning in multimedia databases. First of all, these rules collect all the information that a vertical partitioning algorithm needs as input. Then, they evaluate this information in order to know if the database has experienced enough changes to trigger a performance evaluator. In this case, if the performance of the database falls below a threshold previously calculated by the rules, the vertical partitioning algorithm is triggered, which gets a new VPS. Finally, the rules materialize the new VPS. Our active rule base is implemented in the system DYMOND, which is an active rule-based system for dynamic vertical partitioning of multimedia databases. DYMOND’s architecture and workflow are presented in this paper. Moreover, a case study is used to clarify and evaluate the functionality of our active rule base. Additionally, authors of this paper performed a qualitative evaluation with the aim of comparing and evaluating DYMOND’s functionality. The results showed that DYMOND improved query performance in multimedia databases. More... »

PAGES

421-451

References to SciGraph publications

  • 2003-10. Cost-driven vertical class partitioning for methods in object oriented databases in THE VLDB JOURNAL
  • 2012. Dynamic Vertical Partitioning of Multimedia Databases Using Active Rules in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 2003-05. Efficient Query Execution Techniques in a 4DIS Video Database System for eLearning in MULTIMEDIA TOOLS AND APPLICATIONS
  • 1994-04. An objective function for vertically partitioning relations in distributed databases and its analysis in DISTRIBUTED AND PARALLEL DATABASES
  • 2006. Towards Multimedia Fragmentation in ADVANCES IN DATABASES AND INFORMATION SYSTEMS
  • 2012. Relax and Let the Database Do the Partitioning Online in ENABLING REAL-TIME BUSINESS INTELLIGENCE
  • 2005-06-10. A clustering technique for object-oriented databases in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 2011. A Vertical Partitioning Algorithm for Distributed Multimedia Databases in DATABASE AND EXPERT SYSTEMS APPLICATIONS
  • 2015-08. Design of distributed database systems: an iterative genetic algorithm in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2012-12. Improving database performance with a mixed fragmentation design in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2010-12. DYFRAM: dynamic fragmentation and replica management in distributed database systems in DISTRIBUTED AND PARALLEL DATABASES
  • 2001-03-29. Dynamic Clustering in Object-Oriented Databases: An Advocacy for Simplicity in OBJECTS AND DATABASES
  • 2014. Horizontal Partitioning of Multimedia Databases Using Hierarchical Agglomerative Clustering in NATURE-INSPIRED COMPUTATION AND MACHINE LEARNING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10844-016-0420-9

    DOI

    http://dx.doi.org/10.1007/s10844-016-0420-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1032653165


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Instituto Tecnologico de Orizaba", 
              "id": "https://www.grid.ac/institutes/grid.466840.8", 
              "name": [
                "Division of Research and Postgraduate Studies, Instituto Tecnol\u00f3gico de Orizaba, Av. Oriente 9 852. Col Emiliano Zapata C.P., 94320, Orizaba, M\u00e9xico"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodr\u00edguez-Mazahua", 
            "givenName": "Lisbeth", 
            "id": "sg:person.015202721247.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015202721247.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Instituto Tecnologico de Orizaba", 
              "id": "https://www.grid.ac/institutes/grid.466840.8", 
              "name": [
                "Division of Research and Postgraduate Studies, Instituto Tecnol\u00f3gico de Orizaba, Av. Oriente 9 852. Col Emiliano Zapata C.P., 94320, Orizaba, M\u00e9xico"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alor-Hern\u00e1ndez", 
            "givenName": "Giner", 
            "id": "sg:person.011654422251.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011654422251.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Computer Science Department CINVESTAV-IPN, Av. IPN, No. 2508, 07360, M\u00e9xico, D. F., M\u00e9xico"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Xiaoou", 
            "id": "sg:person.011166230352.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011166230352.60"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidad Aut\u00f3noma del Estado de M\u00e9xico", 
              "id": "https://www.grid.ac/institutes/grid.412872.a", 
              "name": [
                "Universidad Aut\u00f3noma del Estado de M\u00e9xico, Centro Universitario UAEM Texcoco, Av. Jard\u00edn Zumpango s/n, Fracc. El Tejocote, Texcoco, Estado de M\u00e9xico, M\u00e9xico"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cervantes", 
            "givenName": "Jair", 
            "id": "sg:person.014012751641.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014012751641.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidad Aut\u00f3noma del Estado de M\u00e9xico", 
              "id": "https://www.grid.ac/institutes/grid.412872.a", 
              "name": [
                "Universidad Aut\u00f3noma del Estado de M\u00e9xico, Centro Universitario UAEM Zumpango, Camino Viejo a Jilotzingo, Valle Hermoso, Zumpango, M\u00e9xico"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f3pez-Chau", 
            "givenName": "Asdr\u00fabal", 
            "id": "sg:person.011240155563.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011240155563.51"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-32597-7_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000391081", 
              "https://doi.org/10.1007/978-3-642-32597-7_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2351476.2351485", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004795375"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/191839.191924", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004952436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0306-4379(94)90004-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005900995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0306-4379(94)90004-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005900995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1290067.1290073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012102333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2513591.2513649", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012180796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/336597.336610", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012887005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jss.2003.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016356015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11827252_31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016372008", 
              "https://doi.org/10.1007/11827252_31"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11827252_31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016372008", 
              "https://doi.org/10.1007/11827252_31"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1989323.1989330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018194127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0022020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020031414", 
              "https://doi.org/10.1007/bfb0022020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0022020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020031414", 
              "https://doi.org/10.1007/bfb0022020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1023418316038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020072485", 
              "https://doi.org/10.1023/a:1023418316038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10844-012-0203-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022916995", 
              "https://doi.org/10.1007/s10844-012-0203-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1643823.1643860", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023370281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1376616.1376727", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024166384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-23091-2_48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024591997", 
              "https://doi.org/10.1007/978-3-642-23091-2_48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-23091-2_48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024591997", 
              "https://doi.org/10.1007/978-3-642-23091-2_48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01267326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025957733", 
              "https://doi.org/10.1007/bf01267326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01267326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025957733", 
              "https://doi.org/10.1007/bf01267326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10844-013-0269-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028701159", 
              "https://doi.org/10.1007/s10844-013-0269-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/604596.604599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032859726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1007568.1007609", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036131238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1282480.1282486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037023104"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-012088469-8.50095-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038238281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1994.2209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039695447"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-13650-9_27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039801551", 
              "https://doi.org/10.1007/978-3-319-13650-9_27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00778-002-0084-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042004260", 
              "https://doi.org/10.1007/s00778-002-0084-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/311531.311623", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047183769"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-33500-6_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049072876", 
              "https://doi.org/10.1007/978-3-642-33500-6_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1058150.1058157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049410572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-023x(93)90003-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049668144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0169-023x(93)90003-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049668144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44677-x_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050130966", 
              "https://doi.org/10.1007/3-540-44677-x_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44677-x_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050130966", 
              "https://doi.org/10.1007/3-540-44677-x_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.datak.2011.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050162715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10619-010-7068-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050403844", 
              "https://doi.org/10.1007/s10619-010-7068-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10619-010-7068-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050403844", 
              "https://doi.org/10.1007/s10619-010-7068-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ins.2015.08.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051853441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-012088469-8.50096-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051985228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/67544.66966", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052704059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/49.536483", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061177486"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tkde.2002.1033777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061661086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tsmcc.2002.804444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061797652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.14778/1920841.1920853", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067367663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3844/ajassp.2007.613.618", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071454289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5120/8304-1767", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072607096"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iri.2014.7051887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093946850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/micai.2006.44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093959301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iscis.2007.4456833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094006196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icdew.2010.5452739", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094053054"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ictai.2010.94", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094205064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icsmc.2009.5345914", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094218701"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icsmc.2011.6083941", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094352622"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icnsc.2013.6548782", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094815018"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ideas.1999.787292", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094875332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/nas.2012.16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094944466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ssdm.2004.1311234", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094952190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icde.2004.1320020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095211645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/dexa.2006.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095255681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789812819536_0002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096084062"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-04", 
        "datePublishedReg": "2017-04-01", 
        "description": "Currently, vertical partitioning has been used in multimedia databases in order to take advantage of its potential benefits in query optimization. Nevertheless, most vertical partitioning algorithms are static; this means that they optimize a vertical partitioning scheme (VPS) according to a workload, but if this workload suffers changes, the VPS may be degraded, which would result in long query response time. This paper presents a set of active rules to perform dynamic vertical partitioning in multimedia databases. First of all, these rules collect all the information that a vertical partitioning algorithm needs as input. Then, they evaluate this information in order to know if the database has experienced enough changes to trigger a performance evaluator. In this case, if the performance of the database falls below a threshold previously calculated by the rules, the vertical partitioning algorithm is triggered, which gets a new VPS. Finally, the rules materialize the new VPS. Our active rule base is implemented in the system DYMOND, which is an active rule-based system for dynamic vertical partitioning of multimedia databases. DYMOND\u2019s architecture and workflow are presented in this paper. Moreover, a case study is used to clarify and evaluate the functionality of our active rule base. Additionally, authors of this paper performed a qualitative evaluation with the aim of comparing and evaluating DYMOND\u2019s functionality. The results showed that DYMOND improved query performance in multimedia databases.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10844-016-0420-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1327483", 
            "issn": [
              "0925-9902", 
              "1573-7675"
            ], 
            "name": "Journal of Intelligent Information Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "48"
          }
        ], 
        "name": "Active rule base development for dynamic vertical partitioning of multimedia databases", 
        "pagination": "421-451", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9b8e7b510f24609f77111c01b984767d04df565be03d2921356e906382ba586f"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10844-016-0420-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1032653165"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10844-016-0420-9", 
          "https://app.dimensions.ai/details/publication/pub.1032653165"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:39", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000363_0000000363/records_70046_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs10844-016-0420-9"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10844-016-0420-9'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10844-016-0420-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10844-016-0420-9'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10844-016-0420-9'


     

    This table displays all metadata directly associated to this object as RDF triples.

    273 TRIPLES      21 PREDICATES      82 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10844-016-0420-9 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author Nbb20f89d40d141908d409a434f1a63d2
    4 schema:citation sg:pub.10.1007/11827252_31
    5 sg:pub.10.1007/3-540-44677-x_5
    6 sg:pub.10.1007/978-3-319-13650-9_27
    7 sg:pub.10.1007/978-3-642-23091-2_48
    8 sg:pub.10.1007/978-3-642-32597-7_17
    9 sg:pub.10.1007/978-3-642-33500-6_5
    10 sg:pub.10.1007/bf01267326
    11 sg:pub.10.1007/bfb0022020
    12 sg:pub.10.1007/s00778-002-0084-7
    13 sg:pub.10.1007/s10619-010-7068-1
    14 sg:pub.10.1007/s10844-012-0203-x
    15 sg:pub.10.1007/s10844-013-0269-0
    16 sg:pub.10.1023/a:1023418316038
    17 https://doi.org/10.1016/0169-023x(93)90003-8
    18 https://doi.org/10.1016/0306-4379(94)90004-3
    19 https://doi.org/10.1016/b978-012088469-8.50095-4
    20 https://doi.org/10.1016/b978-012088469-8.50096-6
    21 https://doi.org/10.1016/j.datak.2011.03.001
    22 https://doi.org/10.1016/j.ins.2015.08.047
    23 https://doi.org/10.1016/j.jss.2003.04.002
    24 https://doi.org/10.1109/49.536483
    25 https://doi.org/10.1109/dexa.2006.32
    26 https://doi.org/10.1109/icde.2004.1320020
    27 https://doi.org/10.1109/icdew.2010.5452739
    28 https://doi.org/10.1109/icnsc.2013.6548782
    29 https://doi.org/10.1109/icsmc.2009.5345914
    30 https://doi.org/10.1109/icsmc.2011.6083941
    31 https://doi.org/10.1109/ictai.2010.94
    32 https://doi.org/10.1109/ideas.1999.787292
    33 https://doi.org/10.1109/iri.2014.7051887
    34 https://doi.org/10.1109/iscis.2007.4456833
    35 https://doi.org/10.1109/micai.2006.44
    36 https://doi.org/10.1109/nas.2012.16
    37 https://doi.org/10.1109/ssdm.2004.1311234
    38 https://doi.org/10.1109/tkde.2002.1033777
    39 https://doi.org/10.1109/tsmcc.2002.804444
    40 https://doi.org/10.1142/9789812819536_0002
    41 https://doi.org/10.1145/1007568.1007609
    42 https://doi.org/10.1145/1058150.1058157
    43 https://doi.org/10.1145/1282480.1282486
    44 https://doi.org/10.1145/1290067.1290073
    45 https://doi.org/10.1145/1376616.1376727
    46 https://doi.org/10.1145/1643823.1643860
    47 https://doi.org/10.1145/191839.191924
    48 https://doi.org/10.1145/1989323.1989330
    49 https://doi.org/10.1145/1994.2209
    50 https://doi.org/10.1145/2351476.2351485
    51 https://doi.org/10.1145/2513591.2513649
    52 https://doi.org/10.1145/311531.311623
    53 https://doi.org/10.1145/336597.336610
    54 https://doi.org/10.1145/604596.604599
    55 https://doi.org/10.1145/67544.66966
    56 https://doi.org/10.14778/1920841.1920853
    57 https://doi.org/10.3844/ajassp.2007.613.618
    58 https://doi.org/10.5120/8304-1767
    59 schema:datePublished 2017-04
    60 schema:datePublishedReg 2017-04-01
    61 schema:description Currently, vertical partitioning has been used in multimedia databases in order to take advantage of its potential benefits in query optimization. Nevertheless, most vertical partitioning algorithms are static; this means that they optimize a vertical partitioning scheme (VPS) according to a workload, but if this workload suffers changes, the VPS may be degraded, which would result in long query response time. This paper presents a set of active rules to perform dynamic vertical partitioning in multimedia databases. First of all, these rules collect all the information that a vertical partitioning algorithm needs as input. Then, they evaluate this information in order to know if the database has experienced enough changes to trigger a performance evaluator. In this case, if the performance of the database falls below a threshold previously calculated by the rules, the vertical partitioning algorithm is triggered, which gets a new VPS. Finally, the rules materialize the new VPS. Our active rule base is implemented in the system DYMOND, which is an active rule-based system for dynamic vertical partitioning of multimedia databases. DYMOND’s architecture and workflow are presented in this paper. Moreover, a case study is used to clarify and evaluate the functionality of our active rule base. Additionally, authors of this paper performed a qualitative evaluation with the aim of comparing and evaluating DYMOND’s functionality. The results showed that DYMOND improved query performance in multimedia databases.
    62 schema:genre research_article
    63 schema:inLanguage en
    64 schema:isAccessibleForFree false
    65 schema:isPartOf Nd1615bf156134f43844e5de5db116dc7
    66 Nf559ee4c6bde4ff398f2f38bbde0cdb7
    67 sg:journal.1327483
    68 schema:name Active rule base development for dynamic vertical partitioning of multimedia databases
    69 schema:pagination 421-451
    70 schema:productId N330b65e54994446a9e5e52b00efded79
    71 N41de022cf33a4d56b133392076133cc5
    72 N9b64e0e7c76b47e88dc50e15ef34c3e5
    73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032653165
    74 https://doi.org/10.1007/s10844-016-0420-9
    75 schema:sdDatePublished 2019-04-11T12:39
    76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    77 schema:sdPublisher N65b88d7c35b54a248e7166b77a8a4977
    78 schema:url https://link.springer.com/10.1007%2Fs10844-016-0420-9
    79 sgo:license sg:explorer/license/
    80 sgo:sdDataset articles
    81 rdf:type schema:ScholarlyArticle
    82 N330b65e54994446a9e5e52b00efded79 schema:name doi
    83 schema:value 10.1007/s10844-016-0420-9
    84 rdf:type schema:PropertyValue
    85 N41de022cf33a4d56b133392076133cc5 schema:name dimensions_id
    86 schema:value pub.1032653165
    87 rdf:type schema:PropertyValue
    88 N46c6e9700f3f4dd0ade48ab039a132fd rdf:first sg:person.011654422251.97
    89 rdf:rest Nc911b205b6dc4c53a6404ecb2ebe0ff6
    90 N65b88d7c35b54a248e7166b77a8a4977 schema:name Springer Nature - SN SciGraph project
    91 rdf:type schema:Organization
    92 N9b64e0e7c76b47e88dc50e15ef34c3e5 schema:name readcube_id
    93 schema:value 9b8e7b510f24609f77111c01b984767d04df565be03d2921356e906382ba586f
    94 rdf:type schema:PropertyValue
    95 Nbb20f89d40d141908d409a434f1a63d2 rdf:first sg:person.015202721247.80
    96 rdf:rest N46c6e9700f3f4dd0ade48ab039a132fd
    97 Nbcb58a4e38414a12b5e044f067818773 schema:name Computer Science Department CINVESTAV-IPN, Av. IPN, No. 2508, 07360, México, D. F., México
    98 rdf:type schema:Organization
    99 Nc911b205b6dc4c53a6404ecb2ebe0ff6 rdf:first sg:person.011166230352.60
    100 rdf:rest Nff58e32ad6be40ecb6068268f9a6dcf9
    101 Nd1615bf156134f43844e5de5db116dc7 schema:issueNumber 2
    102 rdf:type schema:PublicationIssue
    103 Ndb1c5ca31e524721bc8e677d4e4a09d2 rdf:first sg:person.011240155563.51
    104 rdf:rest rdf:nil
    105 Nf559ee4c6bde4ff398f2f38bbde0cdb7 schema:volumeNumber 48
    106 rdf:type schema:PublicationVolume
    107 Nff58e32ad6be40ecb6068268f9a6dcf9 rdf:first sg:person.014012751641.65
    108 rdf:rest Ndb1c5ca31e524721bc8e677d4e4a09d2
    109 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    110 schema:name Information and Computing Sciences
    111 rdf:type schema:DefinedTerm
    112 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    113 schema:name Information Systems
    114 rdf:type schema:DefinedTerm
    115 sg:journal.1327483 schema:issn 0925-9902
    116 1573-7675
    117 schema:name Journal of Intelligent Information Systems
    118 rdf:type schema:Periodical
    119 sg:person.011166230352.60 schema:affiliation Nbcb58a4e38414a12b5e044f067818773
    120 schema:familyName Li
    121 schema:givenName Xiaoou
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011166230352.60
    123 rdf:type schema:Person
    124 sg:person.011240155563.51 schema:affiliation https://www.grid.ac/institutes/grid.412872.a
    125 schema:familyName López-Chau
    126 schema:givenName Asdrúbal
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011240155563.51
    128 rdf:type schema:Person
    129 sg:person.011654422251.97 schema:affiliation https://www.grid.ac/institutes/grid.466840.8
    130 schema:familyName Alor-Hernández
    131 schema:givenName Giner
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011654422251.97
    133 rdf:type schema:Person
    134 sg:person.014012751641.65 schema:affiliation https://www.grid.ac/institutes/grid.412872.a
    135 schema:familyName Cervantes
    136 schema:givenName Jair
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014012751641.65
    138 rdf:type schema:Person
    139 sg:person.015202721247.80 schema:affiliation https://www.grid.ac/institutes/grid.466840.8
    140 schema:familyName Rodríguez-Mazahua
    141 schema:givenName Lisbeth
    142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015202721247.80
    143 rdf:type schema:Person
    144 sg:pub.10.1007/11827252_31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016372008
    145 https://doi.org/10.1007/11827252_31
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/3-540-44677-x_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050130966
    148 https://doi.org/10.1007/3-540-44677-x_5
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/978-3-319-13650-9_27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039801551
    151 https://doi.org/10.1007/978-3-319-13650-9_27
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/978-3-642-23091-2_48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024591997
    154 https://doi.org/10.1007/978-3-642-23091-2_48
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/978-3-642-32597-7_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000391081
    157 https://doi.org/10.1007/978-3-642-32597-7_17
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/978-3-642-33500-6_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049072876
    160 https://doi.org/10.1007/978-3-642-33500-6_5
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/bf01267326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025957733
    163 https://doi.org/10.1007/bf01267326
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/bfb0022020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020031414
    166 https://doi.org/10.1007/bfb0022020
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s00778-002-0084-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042004260
    169 https://doi.org/10.1007/s00778-002-0084-7
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/s10619-010-7068-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050403844
    172 https://doi.org/10.1007/s10619-010-7068-1
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1007/s10844-012-0203-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022916995
    175 https://doi.org/10.1007/s10844-012-0203-x
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1007/s10844-013-0269-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028701159
    178 https://doi.org/10.1007/s10844-013-0269-0
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1023/a:1023418316038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020072485
    181 https://doi.org/10.1023/a:1023418316038
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/0169-023x(93)90003-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049668144
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/0306-4379(94)90004-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005900995
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1016/b978-012088469-8.50095-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038238281
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1016/b978-012088469-8.50096-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051985228
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1016/j.datak.2011.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050162715
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1016/j.ins.2015.08.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051853441
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1016/j.jss.2003.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016356015
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1109/49.536483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177486
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1109/dexa.2006.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095255681
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1109/icde.2004.1320020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095211645
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1109/icdew.2010.5452739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094053054
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1109/icnsc.2013.6548782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094815018
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1109/icsmc.2009.5345914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094218701
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1109/icsmc.2011.6083941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094352622
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1109/ictai.2010.94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094205064
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1109/ideas.1999.787292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094875332
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1109/iri.2014.7051887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093946850
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1109/iscis.2007.4456833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094006196
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1109/micai.2006.44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093959301
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1109/nas.2012.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094944466
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1109/ssdm.2004.1311234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094952190
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1109/tkde.2002.1033777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661086
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1109/tsmcc.2002.804444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061797652
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1142/9789812819536_0002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096084062
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1145/1007568.1007609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036131238
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1145/1058150.1058157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049410572
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1145/1282480.1282486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037023104
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1145/1290067.1290073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012102333
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1145/1376616.1376727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024166384
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1145/1643823.1643860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023370281
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1145/191839.191924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004952436
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1145/1989323.1989330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018194127
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1145/1994.2209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039695447
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1145/2351476.2351485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004795375
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1145/2513591.2513649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012180796
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1145/311531.311623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047183769
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1145/336597.336610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012887005
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1145/604596.604599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032859726
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1145/67544.66966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052704059
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.14778/1920841.1920853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067367663
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.3844/ajassp.2007.613.618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071454289
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.5120/8304-1767 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072607096
    266 rdf:type schema:CreativeWork
    267 https://www.grid.ac/institutes/grid.412872.a schema:alternateName Universidad Autónoma del Estado de México
    268 schema:name Universidad Autónoma del Estado de México, Centro Universitario UAEM Texcoco, Av. Jardín Zumpango s/n, Fracc. El Tejocote, Texcoco, Estado de México, México
    269 Universidad Autónoma del Estado de México, Centro Universitario UAEM Zumpango, Camino Viejo a Jilotzingo, Valle Hermoso, Zumpango, México
    270 rdf:type schema:Organization
    271 https://www.grid.ac/institutes/grid.466840.8 schema:alternateName Instituto Tecnologico de Orizaba
    272 schema:name Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Av. Oriente 9 852. Col Emiliano Zapata C.P., 94320, Orizaba, México
    273 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...