An Analytic Aggregation-Based Ontology Alignment Approach with Multiple Matchers View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Fuqi Song , Gregory Zacharewicz , David Chen

ABSTRACT

A critical aspect of providing data interoperability relies on ontological alignment and the successful semantic integration. Ontology alignment is being applied to these domains as a fundamental component. Many basic matching techniques have been proposed, however in order to adapt to the diverse sources of ontology and enhance the matching ability, the crucial point facing is how to choose and combine different alignment algorithms. In this chapter, an approach with multiple alignment algorithms is described. The algorithms are proposed from lexical, semantic and structural levels of source ontology. The algorithms are chosen by a comprehensive pre-defined strategy, one or more specific algorithms will be chosen according to the features of entities to be matched. To aggregate the different matching results dynamically and automatically, Analytic Hierarchy Process (AHP) is applied innovatively based on three similarity indicators, which reflect the essential features of source ontology. The results of the benchmarking experiment suggested that the approach has strong matching ability. It obtained high precision and promising evaluation results. More... »

PAGES

143-159

References to SciGraph publications

  • 2005. CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction in DATABASE SYSTEMS FOR ADVANCED APPLICATIONS
  • 2004. QOM – Quick Ontology Mapping in THE SEMANTIC WEB – ISWC 2004
  • 2004. An API for Ontology Alignment in THE SEMANTIC WEB – ISWC 2004
  • 2013. Ontology Matching in NONE
  • 2005. A String Metric for Ontology Alignment in THE SEMANTIC WEB – ISWC 2005
  • Book

    TITLE

    Advanced Techniques for Knowledge Engineering and Innovative Applications

    ISBN

    978-3-642-42016-0
    978-3-642-42017-7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-42017-7_11

    DOI

    http://dx.doi.org/10.1007/978-3-642-42017-7_11

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040771086


    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": "Laboratoire de l'Integration du Materiau au Systeme", 
              "id": "https://www.grid.ac/institutes/grid.462974.a", 
              "name": [
                "IMS, UMR 5218, Univ. Bordeaux, 351 Cours de la Libration, 33400\u00a0Talence, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Song", 
            "givenName": "Fuqi", 
            "id": "sg:person.013317624305.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013317624305.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratoire de l'Integration du Materiau au Systeme", 
              "id": "https://www.grid.ac/institutes/grid.462974.a", 
              "name": [
                "IMS, UMR 5218, Univ. Bordeaux, 351 Cours de la Libration, 33400\u00a0Talence, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zacharewicz", 
            "givenName": "Gregory", 
            "id": "sg:person.010527420551.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527420551.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratoire de l'Integration du Materiau au Systeme", 
              "id": "https://www.grid.ac/institutes/grid.462974.a", 
              "name": [
                "IMS, UMR 5218, Univ. Bordeaux, 351 Cours de la Libration, 33400\u00a0Talence, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "David", 
            "id": "sg:person.012324571333.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012324571333.17"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1002257119", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-38721-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002257119", 
              "https://doi.org/10.1007/978-3-642-38721-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-38721-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002257119", 
              "https://doi.org/10.1007/978-3-642-38721-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551512447906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005320017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551512447906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005320017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejor.2004.04.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010402197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014741752", 
              "https://doi.org/10.1007/978-3-540-30475-3_47"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014741752", 
              "https://doi.org/10.1007/978-3-540-30475-3_47"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.aei.2012.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017659938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551510361432", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018210412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551510361432", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018210412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0377-2217(90)90057-i", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018681243"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0377-2217(90)90057-i", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018681243"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/fi2030238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020188533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.datak.2009.12.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023563025"
            ], 
            "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.10.1007/11408079_80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035216319", 
              "https://doi.org/10.1007/11408079_80"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11408079_80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035216319", 
              "https://doi.org/10.1007/11408079_80"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.websem.2009.11.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040603643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/sim.4780140510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044089634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11574620_45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044473766", 
              "https://doi.org/10.1007/11574620_45"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11574620_45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044473766", 
              "https://doi.org/10.1007/11574620_45"
            ], 
            "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/10.3115/1073445.1073478", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053309876"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tkde.2008.202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061661886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tkde.2011.253", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061662429"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551508100383", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063751168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0165551508100383", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063751168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icde.2002.994702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094011408"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1614025.1614037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099150957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5220/0003499604310437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099540696"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013", 
        "datePublishedReg": "2013-01-01", 
        "description": "A critical aspect of providing data interoperability relies on ontological alignment and the successful semantic integration. Ontology alignment is being applied to these domains as a fundamental component. Many basic matching techniques have been proposed, however in order to adapt to the diverse sources of ontology and enhance the matching ability, the crucial point facing is how to choose and combine different alignment algorithms. In this chapter, an approach with multiple alignment algorithms is described. The algorithms are proposed from lexical, semantic and structural levels of source ontology. The algorithms are chosen by a comprehensive pre-defined strategy, one or more specific algorithms will be chosen according to the features of entities to be matched. To aggregate the different matching results dynamically and automatically, Analytic Hierarchy Process (AHP) is applied innovatively based on three similarity indicators, which reflect the essential features of source ontology. The results of the benchmarking experiment suggested that the approach has strong matching ability. It obtained high precision and promising evaluation results.", 
        "editor": [
          {
            "familyName": "Tweedale", 
            "givenName": "Jeffrey W.", 
            "type": "Person"
          }, 
          {
            "familyName": "Jain", 
            "givenName": "Lakhmi C.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-42017-7_11", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-42016-0", 
            "978-3-642-42017-7"
          ], 
          "name": "Advanced Techniques for Knowledge Engineering and Innovative Applications", 
          "type": "Book"
        }, 
        "name": "An Analytic Aggregation-Based Ontology Alignment Approach with Multiple Matchers", 
        "pagination": "143-159", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-42017-7_11"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c23776a9b4275a82b89356eef7275c010335894890d51b9f063ff8173999243f"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040771086"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-42017-7_11", 
          "https://app.dimensions.ai/details/publication/pub.1040771086"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T18:13", 
        "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_8681_00000268.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-42017-7_11"
      }
    ]
     

    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.10.1007/978-3-642-42017-7_11'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-42017-7_11'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-42017-7_11'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-42017-7_11'


     

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

    157 TRIPLES      23 PREDICATES      50 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-42017-7_11 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N45395b3d95364defbfb3dcfc3de66a94
    4 schema:citation sg:pub.10.1007/11408079_80
    5 sg:pub.10.1007/11574620_45
    6 sg:pub.10.1007/978-3-540-30475-3_47
    7 sg:pub.10.1007/978-3-540-30475-3_48
    8 sg:pub.10.1007/978-3-642-38721-0
    9 https://app.dimensions.ai/details/publication/pub.1002257119
    10 https://doi.org/10.1002/sim.4780140510
    11 https://doi.org/10.1016/0377-2217(90)90057-i
    12 https://doi.org/10.1016/j.aei.2012.11.003
    13 https://doi.org/10.1016/j.datak.2009.12.002
    14 https://doi.org/10.1016/j.ejor.2004.04.028
    15 https://doi.org/10.1016/j.websem.2009.11.002
    16 https://doi.org/10.1016/s0169-023x(97)00056-6
    17 https://doi.org/10.1109/icde.2002.994702
    18 https://doi.org/10.1109/tkde.2008.202
    19 https://doi.org/10.1109/tkde.2011.253
    20 https://doi.org/10.1177/0165551508100383
    21 https://doi.org/10.1177/0165551510361432
    22 https://doi.org/10.1177/0165551512447906
    23 https://doi.org/10.3115/1073445.1073478
    24 https://doi.org/10.3115/1614025.1614037
    25 https://doi.org/10.3390/fi2030238
    26 https://doi.org/10.5220/0003499604310437
    27 schema:datePublished 2013
    28 schema:datePublishedReg 2013-01-01
    29 schema:description A critical aspect of providing data interoperability relies on ontological alignment and the successful semantic integration. Ontology alignment is being applied to these domains as a fundamental component. Many basic matching techniques have been proposed, however in order to adapt to the diverse sources of ontology and enhance the matching ability, the crucial point facing is how to choose and combine different alignment algorithms. In this chapter, an approach with multiple alignment algorithms is described. The algorithms are proposed from lexical, semantic and structural levels of source ontology. The algorithms are chosen by a comprehensive pre-defined strategy, one or more specific algorithms will be chosen according to the features of entities to be matched. To aggregate the different matching results dynamically and automatically, Analytic Hierarchy Process (AHP) is applied innovatively based on three similarity indicators, which reflect the essential features of source ontology. The results of the benchmarking experiment suggested that the approach has strong matching ability. It obtained high precision and promising evaluation results.
    30 schema:editor Nbb81effc02c340bbb79e5140ec9ec81b
    31 schema:genre chapter
    32 schema:inLanguage en
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N1fadaa11c1a348598f9211be32d780d9
    35 schema:name An Analytic Aggregation-Based Ontology Alignment Approach with Multiple Matchers
    36 schema:pagination 143-159
    37 schema:productId N54de1af2907f46c2b56634252448e548
    38 Na9cf71df82f544be96adc90564a8f9f2
    39 Nd5057e1863ef4baf8a9cce517f78f7e3
    40 schema:publisher N2d93b944833e431ea84d9c87eee28a94
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040771086
    42 https://doi.org/10.1007/978-3-642-42017-7_11
    43 schema:sdDatePublished 2019-04-15T18:13
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N146da7fca51c4c8cb40c0f4410b891a5
    46 schema:url http://link.springer.com/10.1007/978-3-642-42017-7_11
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset chapters
    49 rdf:type schema:Chapter
    50 N146da7fca51c4c8cb40c0f4410b891a5 schema:name Springer Nature - SN SciGraph project
    51 rdf:type schema:Organization
    52 N1e70d166574e4af88792ae077c987160 rdf:first sg:person.012324571333.17
    53 rdf:rest rdf:nil
    54 N1fadaa11c1a348598f9211be32d780d9 schema:isbn 978-3-642-42016-0
    55 978-3-642-42017-7
    56 schema:name Advanced Techniques for Knowledge Engineering and Innovative Applications
    57 rdf:type schema:Book
    58 N2d93b944833e431ea84d9c87eee28a94 schema:location Berlin, Heidelberg
    59 schema:name Springer Berlin Heidelberg
    60 rdf:type schema:Organisation
    61 N354b9ebf8a854cb286171a51f87911a8 schema:familyName Tweedale
    62 schema:givenName Jeffrey W.
    63 rdf:type schema:Person
    64 N45395b3d95364defbfb3dcfc3de66a94 rdf:first sg:person.013317624305.47
    65 rdf:rest Nefe712452a20464083f257bd589b035c
    66 N54de1af2907f46c2b56634252448e548 schema:name dimensions_id
    67 schema:value pub.1040771086
    68 rdf:type schema:PropertyValue
    69 Na9cf71df82f544be96adc90564a8f9f2 schema:name doi
    70 schema:value 10.1007/978-3-642-42017-7_11
    71 rdf:type schema:PropertyValue
    72 Nbb81effc02c340bbb79e5140ec9ec81b rdf:first N354b9ebf8a854cb286171a51f87911a8
    73 rdf:rest Nf23e4ca1a67f447699c2275f75c8240d
    74 Nd5057e1863ef4baf8a9cce517f78f7e3 schema:name readcube_id
    75 schema:value c23776a9b4275a82b89356eef7275c010335894890d51b9f063ff8173999243f
    76 rdf:type schema:PropertyValue
    77 Nefe712452a20464083f257bd589b035c rdf:first sg:person.010527420551.96
    78 rdf:rest N1e70d166574e4af88792ae077c987160
    79 Nf1bf4ac496264ae483368ea599279f39 schema:familyName Jain
    80 schema:givenName Lakhmi C.
    81 rdf:type schema:Person
    82 Nf23e4ca1a67f447699c2275f75c8240d rdf:first Nf1bf4ac496264ae483368ea599279f39
    83 rdf:rest rdf:nil
    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:person.010527420551.96 schema:affiliation https://www.grid.ac/institutes/grid.462974.a
    91 schema:familyName Zacharewicz
    92 schema:givenName Gregory
    93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527420551.96
    94 rdf:type schema:Person
    95 sg:person.012324571333.17 schema:affiliation https://www.grid.ac/institutes/grid.462974.a
    96 schema:familyName Chen
    97 schema:givenName David
    98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012324571333.17
    99 rdf:type schema:Person
    100 sg:person.013317624305.47 schema:affiliation https://www.grid.ac/institutes/grid.462974.a
    101 schema:familyName Song
    102 schema:givenName Fuqi
    103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013317624305.47
    104 rdf:type schema:Person
    105 sg:pub.10.1007/11408079_80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035216319
    106 https://doi.org/10.1007/11408079_80
    107 rdf:type schema:CreativeWork
    108 sg:pub.10.1007/11574620_45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044473766
    109 https://doi.org/10.1007/11574620_45
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/978-3-540-30475-3_47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014741752
    112 https://doi.org/10.1007/978-3-540-30475-3_47
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-540-30475-3_48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049105311
    115 https://doi.org/10.1007/978-3-540-30475-3_48
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-642-38721-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002257119
    118 https://doi.org/10.1007/978-3-642-38721-0
    119 rdf:type schema:CreativeWork
    120 https://app.dimensions.ai/details/publication/pub.1002257119 schema:CreativeWork
    121 https://doi.org/10.1002/sim.4780140510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044089634
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1016/0377-2217(90)90057-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1018681243
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1016/j.aei.2012.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017659938
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1016/j.datak.2009.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023563025
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/j.ejor.2004.04.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010402197
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.websem.2009.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040603643
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/s0169-023x(97)00056-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031225237
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1109/icde.2002.994702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094011408
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1109/tkde.2008.202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661886
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1109/tkde.2011.253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061662429
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1177/0165551508100383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063751168
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1177/0165551510361432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018210412
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1177/0165551512447906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005320017
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.3115/1073445.1073478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053309876
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.3115/1614025.1614037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099150957
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.3390/fi2030238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020188533
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.5220/0003499604310437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099540696
    154 rdf:type schema:CreativeWork
    155 https://www.grid.ac/institutes/grid.462974.a schema:alternateName Laboratoire de l'Integration du Materiau au Systeme
    156 schema:name IMS, UMR 5218, Univ. Bordeaux, 351 Cours de la Libration, 33400 Talence, France
    157 rdf:type schema:Organization
     




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


    ...