Using the DBV Model to Maintain Versions of Multi-scale Geospatial Data View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

João Sávio C. Longo , Luís Theodoro O. Camargo , Claudia Bauzer Medeiros , André Santanchè

ABSTRACT

Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Most implementation solutions go either towards generalization (and/or virtualization of distinct scales) or towards linking entities of interest across scales. In this context, the possibility of maintaining the history of changes at each scale is another factor to be considered. This paper presents our solution to these issues, which accommodates all previous research on handling multiple scales into a unifying framework. Our solution builds upon a specific database version model – the multiversion MVDB – which has already been successfully implemented in several geospatial scenarios, being extended here to support multi-scale research. The paper also presents our implementation of of a framework based on the model to handle and keep track of multi-scale data evolution. More... »

PAGES

284-293

References to SciGraph publications

  • 2003. A Multi-representation Spatial Data Model in ADVANCES IN SPATIAL AND TEMPORAL DATABASES
  • 2010. 5D Data Modelling: Full Integration of 2D/3D Space, Time and Scale Dimensions in GEOGRAPHIC INFORMATION SCIENCE
  • 2000. GIS Databases: From Multiscale to MultiRepresentation in ABSTRACTION, REFORMULATION, AND APPROXIMATION
  • Book

    TITLE

    Advances in Conceptual Modeling

    ISBN

    978-3-642-33998-1
    978-3-642-33999-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-33999-8_34

    DOI

    http://dx.doi.org/10.1007/978-3-642-33999-8_34

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1019084950


    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": "State University of Campinas", 
              "id": "https://www.grid.ac/institutes/grid.411087.b", 
              "name": [
                "Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Longo", 
            "givenName": "Jo\u00e3o S\u00e1vio C.", 
            "id": "sg:person.010217264707.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010217264707.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Campinas", 
              "id": "https://www.grid.ac/institutes/grid.411087.b", 
              "name": [
                "Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Camargo", 
            "givenName": "Lu\u00eds Theodoro O.", 
            "id": "sg:person.016072031425.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016072031425.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Campinas", 
              "id": "https://www.grid.ac/institutes/grid.411087.b", 
              "name": [
                "Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Medeiros", 
            "givenName": "Claudia Bauzer", 
            "id": "sg:person.011537123441.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537123441.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "State University of Campinas", 
              "id": "https://www.grid.ac/institutes/grid.411087.b", 
              "name": [
                "Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Santanch\u00e8", 
            "givenName": "Andr\u00e9", 
            "id": "sg:person.012424627503.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012424627503.49"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/3-540-44914-0_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002293295", 
              "https://doi.org/10.1007/3-540-44914-0_4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15300-6_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005118453", 
              "https://doi.org/10.1007/978-3-642-15300-6_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15300-6_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005118453", 
              "https://doi.org/10.1007/978-3-642-15300-6_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-023x(00)00033-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015235559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/13658816.2010.490218", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022343223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.compenvurbsys.2009.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023973203"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-45072-6_23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031910817", 
              "https://doi.org/10.1007/978-3-540-45072-6_23"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-45072-6_23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031910817", 
              "https://doi.org/10.1007/978-3-540-45072-6_23"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1117/12.815598", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041318475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.is.2005.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049083289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-008045374-3/50016-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051083226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1179/000870410x12699418769035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052986877"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/geoinformatics.2010.5567512", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094052775"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ssdm.2003.1214979", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094312806"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012", 
        "datePublishedReg": "2012-01-01", 
        "description": "Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Most implementation solutions go either towards generalization (and/or virtualization of distinct scales) or towards linking entities of interest across scales. In this context, the possibility of maintaining the history of changes at each scale is another factor to be considered. This paper presents our solution to these issues, which accommodates all previous research on handling multiple scales into a unifying framework. Our solution builds upon a specific database version model \u2013 the multiversion MVDB \u2013 which has already been successfully implemented in several geospatial scenarios, being extended here to support multi-scale research. The paper also presents our implementation of of a framework based on the model to handle and keep track of multi-scale data evolution.", 
        "editor": [
          {
            "familyName": "Castano", 
            "givenName": "Silvana", 
            "type": "Person"
          }, 
          {
            "familyName": "Vassiliadis", 
            "givenName": "Panos", 
            "type": "Person"
          }, 
          {
            "familyName": "Lakshmanan", 
            "givenName": "Laks V.", 
            "type": "Person"
          }, 
          {
            "familyName": "Lee", 
            "givenName": "Mong Li", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-33999-8_34", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-33998-1", 
            "978-3-642-33999-8"
          ], 
          "name": "Advances in Conceptual Modeling", 
          "type": "Book"
        }, 
        "name": "Using the DBV Model to Maintain Versions of Multi-scale Geospatial Data", 
        "pagination": "284-293", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-33999-8_34"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5aeef77ada6524228a0162d0eef768c5f517d9c63278d5369c9255b06a16fbb1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1019084950"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-33999-8_34", 
          "https://app.dimensions.ai/details/publication/pub.1019084950"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T23:51", 
        "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/v90/0000000001_0000000264/records_8697_00000255.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-33999-8_34"
      }
    ]
     

    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.10.1007/978-3-642-33999-8_34'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-33999-8_34'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-33999-8_34'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-33999-8_34'


     

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

    140 TRIPLES      23 PREDICATES      39 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-33999-8_34 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N75c23a0fae9c4570b99c44a391763482
    4 schema:citation sg:pub.10.1007/3-540-44914-0_4
    5 sg:pub.10.1007/978-3-540-45072-6_23
    6 sg:pub.10.1007/978-3-642-15300-6_22
    7 https://doi.org/10.1016/b978-008045374-3/50016-8
    8 https://doi.org/10.1016/j.compenvurbsys.2009.07.001
    9 https://doi.org/10.1016/j.is.2005.01.004
    10 https://doi.org/10.1016/s0169-023x(00)00033-1
    11 https://doi.org/10.1080/13658816.2010.490218
    12 https://doi.org/10.1109/geoinformatics.2010.5567512
    13 https://doi.org/10.1109/ssdm.2003.1214979
    14 https://doi.org/10.1117/12.815598
    15 https://doi.org/10.1179/000870410x12699418769035
    16 schema:datePublished 2012
    17 schema:datePublishedReg 2012-01-01
    18 schema:description Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Most implementation solutions go either towards generalization (and/or virtualization of distinct scales) or towards linking entities of interest across scales. In this context, the possibility of maintaining the history of changes at each scale is another factor to be considered. This paper presents our solution to these issues, which accommodates all previous research on handling multiple scales into a unifying framework. Our solution builds upon a specific database version model – the multiversion MVDB – which has already been successfully implemented in several geospatial scenarios, being extended here to support multi-scale research. The paper also presents our implementation of of a framework based on the model to handle and keep track of multi-scale data evolution.
    19 schema:editor N892c2f3fb4e646bd9d00fab7638d3e87
    20 schema:genre chapter
    21 schema:inLanguage en
    22 schema:isAccessibleForFree false
    23 schema:isPartOf N079d1d2b2f45497c9baf9b7299ecbc2f
    24 schema:name Using the DBV Model to Maintain Versions of Multi-scale Geospatial Data
    25 schema:pagination 284-293
    26 schema:productId N37fdf58adf0246f9b2d55b12c05fcd4d
    27 N6bcf28fc62e84e6bb5720af736a18d0e
    28 Ndfd94b8c889245dcb07c2e072194e088
    29 schema:publisher N39ba8c5a932f4617a7b69ad84ba4ff02
    30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019084950
    31 https://doi.org/10.1007/978-3-642-33999-8_34
    32 schema:sdDatePublished 2019-04-15T23:51
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher Nc936dfc5ba6c4c73abaf6fc910e07a6d
    35 schema:url http://link.springer.com/10.1007/978-3-642-33999-8_34
    36 sgo:license sg:explorer/license/
    37 sgo:sdDataset chapters
    38 rdf:type schema:Chapter
    39 N079d1d2b2f45497c9baf9b7299ecbc2f schema:isbn 978-3-642-33998-1
    40 978-3-642-33999-8
    41 schema:name Advances in Conceptual Modeling
    42 rdf:type schema:Book
    43 N22efa40ce314461c9b44f97e6818e0a6 rdf:first sg:person.016072031425.06
    44 rdf:rest Na8fb13cbc3b041e0b55f2ac9adb3945f
    45 N3452e28850bc4511aa4ec05f0e5b9c2d schema:familyName Castano
    46 schema:givenName Silvana
    47 rdf:type schema:Person
    48 N37fdf58adf0246f9b2d55b12c05fcd4d schema:name doi
    49 schema:value 10.1007/978-3-642-33999-8_34
    50 rdf:type schema:PropertyValue
    51 N39ba8c5a932f4617a7b69ad84ba4ff02 schema:location Berlin, Heidelberg
    52 schema:name Springer Berlin Heidelberg
    53 rdf:type schema:Organisation
    54 N43e4d057d8ca45e98b907b282ee6dba7 rdf:first Na77c8c43230146468b8bbfaa9b5ce01e
    55 rdf:rest Nf268b0e65ba64b1990f1da1bfd3d4887
    56 N44ca7b362fd240b9a8f0025404eb9c79 rdf:first N76b7f9b0af464d7f9d11657e6613a040
    57 rdf:rest rdf:nil
    58 N67dc9833511b498582bed9a982054053 schema:familyName Lakshmanan
    59 schema:givenName Laks V.
    60 rdf:type schema:Person
    61 N6bcf28fc62e84e6bb5720af736a18d0e schema:name readcube_id
    62 schema:value 5aeef77ada6524228a0162d0eef768c5f517d9c63278d5369c9255b06a16fbb1
    63 rdf:type schema:PropertyValue
    64 N75c23a0fae9c4570b99c44a391763482 rdf:first sg:person.010217264707.47
    65 rdf:rest N22efa40ce314461c9b44f97e6818e0a6
    66 N76b7f9b0af464d7f9d11657e6613a040 schema:familyName Lee
    67 schema:givenName Mong Li
    68 rdf:type schema:Person
    69 N892c2f3fb4e646bd9d00fab7638d3e87 rdf:first N3452e28850bc4511aa4ec05f0e5b9c2d
    70 rdf:rest N43e4d057d8ca45e98b907b282ee6dba7
    71 Na77c8c43230146468b8bbfaa9b5ce01e schema:familyName Vassiliadis
    72 schema:givenName Panos
    73 rdf:type schema:Person
    74 Na8fb13cbc3b041e0b55f2ac9adb3945f rdf:first sg:person.011537123441.73
    75 rdf:rest Ne312705711cb44a19d04b5ef41d497e2
    76 Nc936dfc5ba6c4c73abaf6fc910e07a6d schema:name Springer Nature - SN SciGraph project
    77 rdf:type schema:Organization
    78 Ndfd94b8c889245dcb07c2e072194e088 schema:name dimensions_id
    79 schema:value pub.1019084950
    80 rdf:type schema:PropertyValue
    81 Ne312705711cb44a19d04b5ef41d497e2 rdf:first sg:person.012424627503.49
    82 rdf:rest rdf:nil
    83 Nf268b0e65ba64b1990f1da1bfd3d4887 rdf:first N67dc9833511b498582bed9a982054053
    84 rdf:rest N44ca7b362fd240b9a8f0025404eb9c79
    85 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    86 schema:name Information and Computing Sciences
    87 rdf:type schema:DefinedTerm
    88 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Information Systems
    90 rdf:type schema:DefinedTerm
    91 sg:person.010217264707.47 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
    92 schema:familyName Longo
    93 schema:givenName João Sávio C.
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010217264707.47
    95 rdf:type schema:Person
    96 sg:person.011537123441.73 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
    97 schema:familyName Medeiros
    98 schema:givenName Claudia Bauzer
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537123441.73
    100 rdf:type schema:Person
    101 sg:person.012424627503.49 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
    102 schema:familyName Santanchè
    103 schema:givenName André
    104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012424627503.49
    105 rdf:type schema:Person
    106 sg:person.016072031425.06 schema:affiliation https://www.grid.ac/institutes/grid.411087.b
    107 schema:familyName Camargo
    108 schema:givenName Luís Theodoro O.
    109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016072031425.06
    110 rdf:type schema:Person
    111 sg:pub.10.1007/3-540-44914-0_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002293295
    112 https://doi.org/10.1007/3-540-44914-0_4
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-540-45072-6_23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031910817
    115 https://doi.org/10.1007/978-3-540-45072-6_23
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-642-15300-6_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005118453
    118 https://doi.org/10.1007/978-3-642-15300-6_22
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1016/b978-008045374-3/50016-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051083226
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1016/j.compenvurbsys.2009.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023973203
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1016/j.is.2005.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049083289
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1016/s0169-023x(00)00033-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015235559
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1080/13658816.2010.490218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022343223
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1109/geoinformatics.2010.5567512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094052775
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1109/ssdm.2003.1214979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094312806
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1117/12.815598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041318475
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1179/000870410x12699418769035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052986877
    137 rdf:type schema:CreativeWork
    138 https://www.grid.ac/institutes/grid.411087.b schema:alternateName State University of Campinas
    139 schema:name Institute of Computing (IC), University of Campinas (UNICAMP), Campinas, SP, Brazil
    140 rdf:type schema:Organization
     




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


    ...