An Approach to Comparing Different Ontologies in the Context of Hydrographical Information View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

L. M. Vilches-Blázquez , J. A. Ramos , F. J. López-Pellicer , O. Corcho , J. Nogueras-Iso

ABSTRACT

Geographical Information is increasingly captured, managed, and updated by different cartographic agencies. This information presents different structures and variable levels of granularity and quality. In practice, such heterogeneity causes the building up of multiple sets of geodata with different underlying models and schemas that have different structures and semantics.Ontologies are a proposal widely used for solving heterogeneity and a way of achieving the data harmonization and integration that Geographical Information Systems (GIS) and Special Data Infrastructures (SDI) need.This paper presents three hydrographical ontologies (which are built using top-down and bottom-up approaches) and an approach for comparing them; the goal of this approach is to prove which ontologies have a better coverage of the domain. In order to compare the resultant ontologies, six qualitative facets have been studied: sources used (amount, richness, and consensus), reliability of building approaches (community extending use, recommenddations), ontology richness (number and types of components), formalization (language), granularity (scale factor), and the design criteria followed. More... »

PAGES

193-207

References to SciGraph publications

  • 2005. A FCA-Based Ontology Construction for the Design of Class Hierarchy in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS – ICCSA 2005
  • 2004. Ontology Evaluation in HANDBOOK ON ONTOLOGIES
  • 2004. FCA-Based Ontology Augmentation in a Medical Domain in PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT
  • 2002-09. Semantic Granularity in Ontology-Driven Geographic Information Systems in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2007. Towntology & hydrOntology: Relationship between Urban and Hydrographic Features in the Geographic Information Domain in ONTOLOGIES FOR URBAN DEVELOPMENT
  • 1999. Formal Concept Analysis, Mathematical Foundations in NONE
  • 2004. An API for Ontology Alignment in THE SEMANTIC WEB – ISWC 2004
  • 2002-07-02. A Formal Ontology of Properties in KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT METHODS, MODELS, AND TOOLS
  • Book

    TITLE

    Information Fusion and Geographic Information Systems

    ISBN

    978-3-642-00303-5
    978-3-642-00304-2

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-00304-2_13

    DOI

    http://dx.doi.org/10.1007/978-3-642-00304-2_13

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052021170


    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": "Technical University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.5690.a", 
              "name": [
                "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vilches-Bl\u00e1zquez", 
            "givenName": "L. M.", 
            "id": "sg:person.010114656515.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010114656515.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.5690.a", 
              "name": [
                "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ramos", 
            "givenName": "J. A.", 
            "id": "sg:person.013342402647.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013342402647.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.5690.a", 
              "name": [
                "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f3pez-Pellicer", 
            "givenName": "F. J.", 
            "id": "sg:person.011627751635.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011627751635.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.5690.a", 
              "name": [
                "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Corcho", 
            "givenName": "O.", 
            "id": "sg:person.015234723465.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234723465.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Madrid", 
              "id": "https://www.grid.ac/institutes/grid.5690.a", 
              "name": [
                "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nogueras-Iso", 
            "givenName": "J.", 
            "id": "sg:person.013072732623.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072732623.29"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/11424857_90", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004754521", 
              "https://doi.org/10.1007/11424857_90"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0269888900007797", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005145235"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-71976-2_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006280419", 
              "https://doi.org/10.1007/978-3-540-71976-2_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-71976-2_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006280419", 
              "https://doi.org/10.1007/978-3-540-71976-2_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1015571330", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-59830-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015571330", 
              "https://doi.org/10.1007/978-3-642-59830-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-59830-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015571330", 
              "https://doi.org/10.1007/978-3-642-59830-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1015808104769", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025317182", 
              "https://doi.org/10.1023/a:1015808104769"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-023x(97)00059-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026317873"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30545-3_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030019306", 
              "https://doi.org/10.1007/978-3-540-30545-3_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30545-3_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030019306", 
              "https://doi.org/10.1007/978-3-540-30545-3_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-023x(97)00056-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031225237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-39967-4_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032241212", 
              "https://doi.org/10.1007/3-540-39967-4_8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-39967-4_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032241212", 
              "https://doi.org/10.1007/3-540-39967-4_8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-24750-0_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044285826", 
              "https://doi.org/10.1007/978-3-540-24750-0_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/ijhc.1996.0090", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045830966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/ijhc.1996.0121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046380442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049105311", 
              "https://doi.org/10.1007/978-3-540-30475-3_48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049105311", 
              "https://doi.org/10.1007/978-3-540-30475-3_48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/knac.1993.1008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050172020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/wi.2005.28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093648837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icws.2005.22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094795342"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009", 
        "datePublishedReg": "2009-01-01", 
        "description": "Geographical Information is increasingly captured, managed, and updated by different cartographic agencies. This information presents different structures and variable levels of granularity and quality. In practice, such heterogeneity causes the building up of multiple sets of geodata with different underlying models and schemas that have different structures and semantics.Ontologies are a proposal widely used for solving heterogeneity and a way of achieving the data harmonization and integration that Geographical Information Systems (GIS) and Special Data Infrastructures (SDI) need.This paper presents three hydrographical ontologies (which are built using top-down and bottom-up approaches) and an approach for comparing them; the goal of this approach is to prove which ontologies have a better coverage of the domain. In order to compare the resultant ontologies, six qualitative facets have been studied: sources used (amount, richness, and consensus), reliability of building approaches (community extending use, recommenddations), ontology richness (number and types of components), formalization (language), granularity (scale factor), and the design criteria followed.", 
        "editor": [
          {
            "familyName": "Popovich", 
            "givenName": "Vasily V.", 
            "type": "Person"
          }, 
          {
            "familyName": "Claramunt", 
            "givenName": "Christophe", 
            "type": "Person"
          }, 
          {
            "familyName": "Schrenk", 
            "givenName": "Manfred", 
            "type": "Person"
          }, 
          {
            "familyName": "Korolenko", 
            "givenName": "Kyrill V.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-00304-2_13", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": {
          "isbn": [
            "978-3-642-00303-5", 
            "978-3-642-00304-2"
          ], 
          "name": "Information Fusion and Geographic Information Systems", 
          "type": "Book"
        }, 
        "name": "An Approach to Comparing Different Ontologies in the Context of Hydrographical Information", 
        "pagination": "193-207", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-00304-2_13"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f7cc016b2163cc9e73f5246c1d985b763831fd4594cda9ef97665f88bfad28c1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1052021170"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-00304-2_13", 
          "https://app.dimensions.ai/details/publication/pub.1052021170"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T15:54", 
        "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_8672_00000560.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-00304-2_13"
      }
    ]
     

    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.10.1007/978-3-642-00304-2_13'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-00304-2_13'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-00304-2_13'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-00304-2_13'


     

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

    166 TRIPLES      23 PREDICATES      44 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-00304-2_13 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author Nf0e13e1c5c574485afdc2cd4b444c697
    4 schema:citation sg:pub.10.1007/11424857_90
    5 sg:pub.10.1007/3-540-39967-4_8
    6 sg:pub.10.1007/978-3-540-24750-0_13
    7 sg:pub.10.1007/978-3-540-30475-3_48
    8 sg:pub.10.1007/978-3-540-30545-3_38
    9 sg:pub.10.1007/978-3-540-71976-2_7
    10 sg:pub.10.1007/978-3-642-59830-2
    11 sg:pub.10.1023/a:1015808104769
    12 https://app.dimensions.ai/details/publication/pub.1015571330
    13 https://doi.org/10.1006/ijhc.1996.0090
    14 https://doi.org/10.1006/ijhc.1996.0121
    15 https://doi.org/10.1006/knac.1993.1008
    16 https://doi.org/10.1016/s0169-023x(97)00056-6
    17 https://doi.org/10.1016/s0169-023x(97)00059-1
    18 https://doi.org/10.1017/s0269888900007797
    19 https://doi.org/10.1109/icws.2005.22
    20 https://doi.org/10.1109/wi.2005.28
    21 schema:datePublished 2009
    22 schema:datePublishedReg 2009-01-01
    23 schema:description Geographical Information is increasingly captured, managed, and updated by different cartographic agencies. This information presents different structures and variable levels of granularity and quality. In practice, such heterogeneity causes the building up of multiple sets of geodata with different underlying models and schemas that have different structures and semantics.Ontologies are a proposal widely used for solving heterogeneity and a way of achieving the data harmonization and integration that Geographical Information Systems (GIS) and Special Data Infrastructures (SDI) need.This paper presents three hydrographical ontologies (which are built using top-down and bottom-up approaches) and an approach for comparing them; the goal of this approach is to prove which ontologies have a better coverage of the domain. In order to compare the resultant ontologies, six qualitative facets have been studied: sources used (amount, richness, and consensus), reliability of building approaches (community extending use, recommenddations), ontology richness (number and types of components), formalization (language), granularity (scale factor), and the design criteria followed.
    24 schema:editor Ne28e91844c134896b61866a655745d1c
    25 schema:genre chapter
    26 schema:inLanguage en
    27 schema:isAccessibleForFree true
    28 schema:isPartOf N4b54489558e948b3a97c75a55f13457d
    29 schema:name An Approach to Comparing Different Ontologies in the Context of Hydrographical Information
    30 schema:pagination 193-207
    31 schema:productId N2fdf015e937641acab358c16b39c175b
    32 N68c7eef7e3e9426b9d1c98d729e37659
    33 Nf91f6c100f2d4583b53ebac55406a9ac
    34 schema:publisher Ne44033d8f9254539b1317c101022be3f
    35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052021170
    36 https://doi.org/10.1007/978-3-642-00304-2_13
    37 schema:sdDatePublished 2019-04-15T15:54
    38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    39 schema:sdPublisher N51c90a4fd7c14e24bc9bdf5191b82acf
    40 schema:url http://link.springer.com/10.1007/978-3-642-00304-2_13
    41 sgo:license sg:explorer/license/
    42 sgo:sdDataset chapters
    43 rdf:type schema:Chapter
    44 N01c17b896a1a464baed901201b694e03 rdf:first N80cb660465d04c71a3c4b5c3ca9ce866
    45 rdf:rest Ne54cd207711d4551b17207c953f1ce17
    46 N091424be588640ac90fee67c4f9abd1d rdf:first sg:person.013342402647.80
    47 rdf:rest N33d5c42171024d77a2285fb923ad1ccf
    48 N0d0c5a0aa9d44e69a81a93463ada8bc3 rdf:first Nf59c7ae548f040dabb878722c4a86131
    49 rdf:rest rdf:nil
    50 N2fdf015e937641acab358c16b39c175b schema:name readcube_id
    51 schema:value f7cc016b2163cc9e73f5246c1d985b763831fd4594cda9ef97665f88bfad28c1
    52 rdf:type schema:PropertyValue
    53 N33d5c42171024d77a2285fb923ad1ccf rdf:first sg:person.011627751635.20
    54 rdf:rest N5b10fc5926e04f8d972ba1ff09379906
    55 N4a589f4ae72c457792578580bcc6ae30 rdf:first sg:person.013072732623.29
    56 rdf:rest rdf:nil
    57 N4b54489558e948b3a97c75a55f13457d schema:isbn 978-3-642-00303-5
    58 978-3-642-00304-2
    59 schema:name Information Fusion and Geographic Information Systems
    60 rdf:type schema:Book
    61 N51c90a4fd7c14e24bc9bdf5191b82acf schema:name Springer Nature - SN SciGraph project
    62 rdf:type schema:Organization
    63 N5b10fc5926e04f8d972ba1ff09379906 rdf:first sg:person.015234723465.49
    64 rdf:rest N4a589f4ae72c457792578580bcc6ae30
    65 N68c7eef7e3e9426b9d1c98d729e37659 schema:name dimensions_id
    66 schema:value pub.1052021170
    67 rdf:type schema:PropertyValue
    68 N7ba604f016c4426a8c9f6c1f48da54aa schema:familyName Popovich
    69 schema:givenName Vasily V.
    70 rdf:type schema:Person
    71 N80cb660465d04c71a3c4b5c3ca9ce866 schema:familyName Claramunt
    72 schema:givenName Christophe
    73 rdf:type schema:Person
    74 Nbfa52962182a437587535bcfa874d8ed schema:familyName Schrenk
    75 schema:givenName Manfred
    76 rdf:type schema:Person
    77 Ne28e91844c134896b61866a655745d1c rdf:first N7ba604f016c4426a8c9f6c1f48da54aa
    78 rdf:rest N01c17b896a1a464baed901201b694e03
    79 Ne44033d8f9254539b1317c101022be3f schema:location Berlin, Heidelberg
    80 schema:name Springer Berlin Heidelberg
    81 rdf:type schema:Organisation
    82 Ne54cd207711d4551b17207c953f1ce17 rdf:first Nbfa52962182a437587535bcfa874d8ed
    83 rdf:rest N0d0c5a0aa9d44e69a81a93463ada8bc3
    84 Nf0e13e1c5c574485afdc2cd4b444c697 rdf:first sg:person.010114656515.86
    85 rdf:rest N091424be588640ac90fee67c4f9abd1d
    86 Nf59c7ae548f040dabb878722c4a86131 schema:familyName Korolenko
    87 schema:givenName Kyrill V.
    88 rdf:type schema:Person
    89 Nf91f6c100f2d4583b53ebac55406a9ac schema:name doi
    90 schema:value 10.1007/978-3-642-00304-2_13
    91 rdf:type schema:PropertyValue
    92 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Information and Computing Sciences
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Information Systems
    97 rdf:type schema:DefinedTerm
    98 sg:person.010114656515.86 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
    99 schema:familyName Vilches-Blázquez
    100 schema:givenName L. M.
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010114656515.86
    102 rdf:type schema:Person
    103 sg:person.011627751635.20 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
    104 schema:familyName López-Pellicer
    105 schema:givenName F. J.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011627751635.20
    107 rdf:type schema:Person
    108 sg:person.013072732623.29 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
    109 schema:familyName Nogueras-Iso
    110 schema:givenName J.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013072732623.29
    112 rdf:type schema:Person
    113 sg:person.013342402647.80 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
    114 schema:familyName Ramos
    115 schema:givenName J. A.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013342402647.80
    117 rdf:type schema:Person
    118 sg:person.015234723465.49 schema:affiliation https://www.grid.ac/institutes/grid.5690.a
    119 schema:familyName Corcho
    120 schema:givenName O.
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015234723465.49
    122 rdf:type schema:Person
    123 sg:pub.10.1007/11424857_90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004754521
    124 https://doi.org/10.1007/11424857_90
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/3-540-39967-4_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032241212
    127 https://doi.org/10.1007/3-540-39967-4_8
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-3-540-24750-0_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044285826
    130 https://doi.org/10.1007/978-3-540-24750-0_13
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/978-3-540-30475-3_48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049105311
    133 https://doi.org/10.1007/978-3-540-30475-3_48
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/978-3-540-30545-3_38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030019306
    136 https://doi.org/10.1007/978-3-540-30545-3_38
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/978-3-540-71976-2_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006280419
    139 https://doi.org/10.1007/978-3-540-71976-2_7
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/978-3-642-59830-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015571330
    142 https://doi.org/10.1007/978-3-642-59830-2
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1023/a:1015808104769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025317182
    145 https://doi.org/10.1023/a:1015808104769
    146 rdf:type schema:CreativeWork
    147 https://app.dimensions.ai/details/publication/pub.1015571330 schema:CreativeWork
    148 https://doi.org/10.1006/ijhc.1996.0090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045830966
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1006/ijhc.1996.0121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046380442
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1006/knac.1993.1008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050172020
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1016/s0169-023x(97)00056-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031225237
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/s0169-023x(97)00059-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026317873
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1017/s0269888900007797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005145235
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1109/icws.2005.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094795342
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1109/wi.2005.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093648837
    163 rdf:type schema:CreativeWork
    164 https://www.grid.ac/institutes/grid.5690.a schema:alternateName Technical University of Madrid
    165 schema:name Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain
    166 rdf:type schema:Organization
     




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


    ...