FAST: Fundamental Analysis Support for Financial Statements. Using semantics for trading recommendations View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Alejandro Rodríguez-González, Ricardo Colomo-Palacios, Fernando Guldris-Iglesias, Juan Miguel Gómez-Berbís, Angel García-Crespo

ABSTRACT

Trading systems are tools to aid financial analysts in the investment process in companies. This process is highly complex because a big number of variables take part in it. Furthermore, huge sets of data must be taken into account to perform a grounded investment, making the process even more complicated. In this paper we present a real trading system that has been developed using semantic technologies. These cutting-edge technologies are very useful in this context because they enable the definition of schemes that can be used for storing financial information, which, in turn, can be easily accessed and queried. Additionally, the inference capabilities of the existing reasoning engines enable the generation of a set of rules supporting this investment analysis process. More... »

PAGES

999-1017

References to SciGraph publications

  • 2004-11. Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting in APPLIED INTELLIGENCE
  • 2010-10. Improving return using risk-return adjustment and incremental training in technical trading rules with GAPs in APPLIED INTELLIGENCE
  • 2002. Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema in THE SEMANTIC WEB — ISWC 2002
  • 2008-10. Soft computing techniques applied to finance in APPLIED INTELLIGENCE
  • 2010-06. Using rough set to support investment strategies of real-time trading in futures market in APPLIED INTELLIGENCE
  • 2004. Bossam: An Extended Rule Engine for OWL Inferencing in RULES AND RULE MARKUP LANGUAGES FOR THE SEMANTIC WEB
  • 2002-05. Neural Networks Approach to the Random Walk Dilemma of Financial Time Series in APPLIED INTELLIGENCE
  • 2004. Semantic Web Technologies for Economic and Financial Information Management in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2009. SONAR: A Semantically Empowered Financial Search Engine in METHODS AND MODELS IN ARTIFICIAL AND NATURAL COMPUTATION. A HOMAGE TO PROFESSOR MIRA’S SCIENTIFIC LEGACY
  • 2007-02. Stock market prediction with multiple classifiers in APPLIED INTELLIGENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10796-011-9321-1

    DOI

    http://dx.doi.org/10.1007/s10796-011-9321-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1035771954


    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": "Carlos III University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.7840.b", 
              "name": [
                "Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodr\u00edguez-Gonz\u00e1lez", 
            "givenName": "Alejandro", 
            "id": "sg:person.0655061155.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655061155.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Carlos III University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.7840.b", 
              "name": [
                "Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Colomo-Palacios", 
            "givenName": "Ricardo", 
            "id": "sg:person.010475466776.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010475466776.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Carlos III University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.7840.b", 
              "name": [
                "Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guldris-Iglesias", 
            "givenName": "Fernando", 
            "id": "sg:person.07606221555.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07606221555.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Carlos III University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.7840.b", 
              "name": [
                "Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00f3mez-Berb\u00eds", 
            "givenName": "Juan Miguel", 
            "id": "sg:person.010612052235.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612052235.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Carlos III University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.7840.b", 
              "name": [
                "Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Legan\u00e9s, 28911, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garc\u00eda-Crespo", 
            "givenName": "Angel", 
            "id": "sg:person.011537037147.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537037147.86"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10489-007-0051-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000128892", 
              "https://doi.org/10.1007/s10489-007-0051-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2011.03.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000922716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2008.08.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001090727"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2006.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004284843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-25956-5_33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005819567", 
              "https://doi.org/10.1007/978-3-540-25956-5_33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-25956-5_33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005819567", 
              "https://doi.org/10.1007/978-3-540-25956-5_33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2009.05.093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008005549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.websem.2007.03.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013524367"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1540-6261.1952.tb01525.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015382472"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10489-008-0150-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020836987", 
              "https://doi.org/10.1007/s10489-008-0150-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10489-008-0150-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020836987", 
              "https://doi.org/10.1007/s10489-008-0150-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-012663553-9.50004-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024426549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:apin.0000043557.93085.72", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026052334", 
              "https://doi.org/10.1023/b:apin.0000043557.93085.72"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2009.01.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028137175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10489-008-0151-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030232763", 
              "https://doi.org/10.1007/s10489-008-0151-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0957-4174(02)00079-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030261606"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0957-4174(02)00079-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030261606"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2006.10.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033136303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2009.03.057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035310805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48005-6_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036167102", 
              "https://doi.org/10.1007/3-540-48005-6_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1462198.1462204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038441637"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10489-006-0001-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038490688", 
              "https://doi.org/10.1007/s10489-006-0001-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10489-006-0001-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038490688", 
              "https://doi.org/10.1007/s10489-006-0001-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30504-0_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039665080", 
              "https://doi.org/10.1007/978-3-540-30504-0_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30504-0_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039665080", 
              "https://doi.org/10.1007/978-3-540-30504-0_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2009.05.054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040901540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02264-7_42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044558903", 
              "https://doi.org/10.1007/978-3-642-02264-7_42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02264-7_42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044558903", 
              "https://doi.org/10.1007/978-3-642-02264-7_42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2007.06.039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045509846"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.eswa.2008.08.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050280690"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/0022-1082.00265", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051283509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1014380315182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051974507", 
              "https://doi.org/10.1023/a:1014380315182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/294846", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058604672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1907413", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069636862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1910098", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069639044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2491464", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069941064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2469/faj.v55.n4.2281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070835041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3905/jpm.23.2.45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071564952"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-12", 
        "datePublishedReg": "2012-12-01", 
        "description": "Trading systems are tools to aid financial analysts in the investment process in companies. This process is highly complex because a big number of variables take part in it. Furthermore, huge sets of data must be taken into account to perform a grounded investment, making the process even more complicated. In this paper we present a real trading system that has been developed using semantic technologies. These cutting-edge technologies are very useful in this context because they enable the definition of schemes that can be used for storing financial information, which, in turn, can be easily accessed and queried. Additionally, the inference capabilities of the existing reasoning engines enable the generation of a set of rules supporting this investment analysis process.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10796-011-9321-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136609", 
            "issn": [
              "1387-3326", 
              "1572-9419"
            ], 
            "name": "Information Systems Frontiers", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "14"
          }
        ], 
        "name": "FAST: Fundamental Analysis Support for Financial Statements. Using semantics for trading recommendations", 
        "pagination": "999-1017", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "aa67a59770dc78f8834f8de7ee034ff292a2da64d56dbd3fe78a80ae618452e1"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10796-011-9321-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1035771954"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10796-011-9321-1", 
          "https://app.dimensions.ai/details/publication/pub.1035771954"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T02:01", 
        "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_8700_00000514.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10796-011-9321-1"
      }
    ]
     

    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/s10796-011-9321-1'

    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/s10796-011-9321-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10796-011-9321-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10796-011-9321-1'


     

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

    195 TRIPLES      21 PREDICATES      59 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10796-011-9321-1 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N9ea4798d74624b0b91e0b21560efb774
    4 schema:citation sg:pub.10.1007/3-540-48005-6_7
    5 sg:pub.10.1007/978-3-540-25956-5_33
    6 sg:pub.10.1007/978-3-540-30504-0_10
    7 sg:pub.10.1007/978-3-642-02264-7_42
    8 sg:pub.10.1007/s10489-006-0001-7
    9 sg:pub.10.1007/s10489-007-0051-5
    10 sg:pub.10.1007/s10489-008-0150-y
    11 sg:pub.10.1007/s10489-008-0151-x
    12 sg:pub.10.1023/a:1014380315182
    13 sg:pub.10.1023/b:apin.0000043557.93085.72
    14 https://doi.org/10.1016/b978-012663553-9.50004-0
    15 https://doi.org/10.1016/j.eswa.2006.07.001
    16 https://doi.org/10.1016/j.eswa.2006.10.028
    17 https://doi.org/10.1016/j.eswa.2007.06.039
    18 https://doi.org/10.1016/j.eswa.2008.08.008
    19 https://doi.org/10.1016/j.eswa.2008.08.019
    20 https://doi.org/10.1016/j.eswa.2009.01.012
    21 https://doi.org/10.1016/j.eswa.2009.03.057
    22 https://doi.org/10.1016/j.eswa.2009.05.054
    23 https://doi.org/10.1016/j.eswa.2009.05.093
    24 https://doi.org/10.1016/j.eswa.2011.03.023
    25 https://doi.org/10.1016/j.websem.2007.03.004
    26 https://doi.org/10.1016/s0957-4174(02)00079-9
    27 https://doi.org/10.1086/294846
    28 https://doi.org/10.1111/0022-1082.00265
    29 https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
    30 https://doi.org/10.1145/1462198.1462204
    31 https://doi.org/10.2307/1907413
    32 https://doi.org/10.2307/1910098
    33 https://doi.org/10.2307/2491464
    34 https://doi.org/10.2469/faj.v55.n4.2281
    35 https://doi.org/10.3905/jpm.23.2.45
    36 schema:datePublished 2012-12
    37 schema:datePublishedReg 2012-12-01
    38 schema:description Trading systems are tools to aid financial analysts in the investment process in companies. This process is highly complex because a big number of variables take part in it. Furthermore, huge sets of data must be taken into account to perform a grounded investment, making the process even more complicated. In this paper we present a real trading system that has been developed using semantic technologies. These cutting-edge technologies are very useful in this context because they enable the definition of schemes that can be used for storing financial information, which, in turn, can be easily accessed and queried. Additionally, the inference capabilities of the existing reasoning engines enable the generation of a set of rules supporting this investment analysis process.
    39 schema:genre research_article
    40 schema:inLanguage en
    41 schema:isAccessibleForFree true
    42 schema:isPartOf N9a38c5de1d4e4be98051e23f6784da75
    43 N9f5190c39be84cc486226ce00f38c0ea
    44 sg:journal.1136609
    45 schema:name FAST: Fundamental Analysis Support for Financial Statements. Using semantics for trading recommendations
    46 schema:pagination 999-1017
    47 schema:productId N0204cb0b81b343a593c9068399acbbdc
    48 N059e68ba24214e14a7d8aa727c858273
    49 Nc933af0ad8304428bdec94d15a4bfb8a
    50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035771954
    51 https://doi.org/10.1007/s10796-011-9321-1
    52 schema:sdDatePublished 2019-04-11T02:01
    53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    54 schema:sdPublisher N344e4d6018624bd99153d5d6d36db22a
    55 schema:url http://link.springer.com/10.1007%2Fs10796-011-9321-1
    56 sgo:license sg:explorer/license/
    57 sgo:sdDataset articles
    58 rdf:type schema:ScholarlyArticle
    59 N0204cb0b81b343a593c9068399acbbdc schema:name readcube_id
    60 schema:value aa67a59770dc78f8834f8de7ee034ff292a2da64d56dbd3fe78a80ae618452e1
    61 rdf:type schema:PropertyValue
    62 N059e68ba24214e14a7d8aa727c858273 schema:name dimensions_id
    63 schema:value pub.1035771954
    64 rdf:type schema:PropertyValue
    65 N344e4d6018624bd99153d5d6d36db22a schema:name Springer Nature - SN SciGraph project
    66 rdf:type schema:Organization
    67 N36a59e4c88da44138104ca521872583a rdf:first sg:person.011537037147.86
    68 rdf:rest rdf:nil
    69 N572cfc8eb1cf4564afd72403c5ece7e4 rdf:first sg:person.010475466776.71
    70 rdf:rest Ndec86f55024b4c0ea48c262300b8ec16
    71 N930723079f644abab355638f28378e5d rdf:first sg:person.010612052235.31
    72 rdf:rest N36a59e4c88da44138104ca521872583a
    73 N9a38c5de1d4e4be98051e23f6784da75 schema:volumeNumber 14
    74 rdf:type schema:PublicationVolume
    75 N9ea4798d74624b0b91e0b21560efb774 rdf:first sg:person.0655061155.16
    76 rdf:rest N572cfc8eb1cf4564afd72403c5ece7e4
    77 N9f5190c39be84cc486226ce00f38c0ea schema:issueNumber 5
    78 rdf:type schema:PublicationIssue
    79 Nc933af0ad8304428bdec94d15a4bfb8a schema:name doi
    80 schema:value 10.1007/s10796-011-9321-1
    81 rdf:type schema:PropertyValue
    82 Ndec86f55024b4c0ea48c262300b8ec16 rdf:first sg:person.07606221555.20
    83 rdf:rest N930723079f644abab355638f28378e5d
    84 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    85 schema:name Information and Computing Sciences
    86 rdf:type schema:DefinedTerm
    87 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Information Systems
    89 rdf:type schema:DefinedTerm
    90 sg:journal.1136609 schema:issn 1387-3326
    91 1572-9419
    92 schema:name Information Systems Frontiers
    93 rdf:type schema:Periodical
    94 sg:person.010475466776.71 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
    95 schema:familyName Colomo-Palacios
    96 schema:givenName Ricardo
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010475466776.71
    98 rdf:type schema:Person
    99 sg:person.010612052235.31 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
    100 schema:familyName Gómez-Berbís
    101 schema:givenName Juan Miguel
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612052235.31
    103 rdf:type schema:Person
    104 sg:person.011537037147.86 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
    105 schema:familyName García-Crespo
    106 schema:givenName Angel
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011537037147.86
    108 rdf:type schema:Person
    109 sg:person.0655061155.16 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
    110 schema:familyName Rodríguez-González
    111 schema:givenName Alejandro
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0655061155.16
    113 rdf:type schema:Person
    114 sg:person.07606221555.20 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
    115 schema:familyName Guldris-Iglesias
    116 schema:givenName Fernando
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07606221555.20
    118 rdf:type schema:Person
    119 sg:pub.10.1007/3-540-48005-6_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036167102
    120 https://doi.org/10.1007/3-540-48005-6_7
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1007/978-3-540-25956-5_33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005819567
    123 https://doi.org/10.1007/978-3-540-25956-5_33
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1007/978-3-540-30504-0_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039665080
    126 https://doi.org/10.1007/978-3-540-30504-0_10
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1007/978-3-642-02264-7_42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044558903
    129 https://doi.org/10.1007/978-3-642-02264-7_42
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/s10489-006-0001-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038490688
    132 https://doi.org/10.1007/s10489-006-0001-7
    133 rdf:type schema:CreativeWork
    134 sg:pub.10.1007/s10489-007-0051-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000128892
    135 https://doi.org/10.1007/s10489-007-0051-5
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/s10489-008-0150-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1020836987
    138 https://doi.org/10.1007/s10489-008-0150-y
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/s10489-008-0151-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030232763
    141 https://doi.org/10.1007/s10489-008-0151-x
    142 rdf:type schema:CreativeWork
    143 sg:pub.10.1023/a:1014380315182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051974507
    144 https://doi.org/10.1023/a:1014380315182
    145 rdf:type schema:CreativeWork
    146 sg:pub.10.1023/b:apin.0000043557.93085.72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026052334
    147 https://doi.org/10.1023/b:apin.0000043557.93085.72
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/b978-012663553-9.50004-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024426549
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1016/j.eswa.2006.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004284843
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.eswa.2006.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033136303
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.eswa.2007.06.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045509846
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.eswa.2008.08.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001090727
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.eswa.2008.08.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050280690
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/j.eswa.2009.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028137175
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/j.eswa.2009.03.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035310805
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/j.eswa.2009.05.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040901540
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/j.eswa.2009.05.093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008005549
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1016/j.eswa.2011.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000922716
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1016/j.websem.2007.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013524367
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1016/s0957-4174(02)00079-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030261606
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1086/294846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058604672
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1111/0022-1082.00265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051283509
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1111/j.1540-6261.1952.tb01525.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015382472
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1145/1462198.1462204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038441637
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.2307/1907413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069636862
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.2307/1910098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069639044
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.2307/2491464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069941064
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.2469/faj.v55.n4.2281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070835041
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.3905/jpm.23.2.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071564952
    192 rdf:type schema:CreativeWork
    193 https://www.grid.ac/institutes/grid.7840.b schema:alternateName Carlos III University of Madrid
    194 schema:name Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911, Madrid, Spain
    195 rdf:type schema:Organization
     




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


    ...