A Semantic Web Interface Using Patterns: The SWIP System View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Camille Pradel , Ollivier Haemmerlé , Nathalie Hernandez

ABSTRACT

Our purpose is to hide the complexity of formulating a query expressed in a graph query language such as SPARQL. We propose a mechanism allowing queries to be expressed in a very simple pivot language, mainly composed of keywords and relations between keywords. Our system associates the keywords with the corresponding elements of the ontology (classes, relations, instances). Then it selects pre-written query patterns, and instanciates them with regard to the keywords of the initial query. Several possible queries are generated, ranked and then shown to the user. These queries are presented by means of natural language sentences. The user then selects the query he/she is interested in and the SPARQL query is built. More... »

PAGES

172-187

References to SciGraph publications

  • 2007. SPARK: Adapting Keyword Query to Semantic Search in THE SEMANTIC WEB
  • 2006. SemSearch: A Search Engine for the Semantic Web in MANAGING KNOWLEDGE IN A WORLD OF NETWORKS
  • 2004. Generating On the Fly Queries for the Semantic Web: The ICS-FORTH Graphical RQL Interface (GRQL) in THE SEMANTIC WEB – ISWC 2004
  • 2008. Q2Semantic: A Lightweight Keyword Interface to Semantic Search in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2011. Expressing Conceptual Graph Queries from Patterns: How to Take into Account the Relations in CONCEPTUAL STRUCTURES FOR DISCOVERING KNOWLEDGE
  • 2010. An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patterns in CONCEPTUAL STRUCTURES: FROM INFORMATION TO INTELLIGENCE
  • 2005-09. A content-search information retrieval process based on conceptual graphs in KNOWLEDGE AND INFORMATION SYSTEMS
  • Book

    TITLE

    Graph Structures for Knowledge Representation and Reasoning

    ISBN

    978-3-642-29448-8
    978-3-642-29449-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-29449-5_7

    DOI

    http://dx.doi.org/10.1007/978-3-642-29449-5_7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007105546


    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/2008/2004", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Linguistics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/20", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Language, Communication and Culture", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "D\u00e9partement de Math\u00e9matiques-Informatique, IRIT, Universit\u00e9 de Toulouse le Mirail, 5 all\u00e9es Antonio Machado, F-31058\u00a0Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pradel", 
            "givenName": "Camille", 
            "id": "sg:person.016677270147.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016677270147.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "D\u00e9partement de Math\u00e9matiques-Informatique, IRIT, Universit\u00e9 de Toulouse le Mirail, 5 all\u00e9es Antonio Machado, F-31058\u00a0Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Haemmerl\u00e9", 
            "givenName": "Ollivier", 
            "id": "sg:person.016234666357.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234666357.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "D\u00e9partement de Math\u00e9matiques-Informatique, IRIT, Universit\u00e9 de Toulouse le Mirail, 5 all\u00e9es Antonio Machado, F-31058\u00a0Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hernandez", 
            "givenName": "Nathalie", 
            "id": "sg:person.014064615340.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014064615340.47"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-22688-5_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006652628", 
              "https://doi.org/10.1007/978-3-642-22688-5_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-22688-5_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006652628", 
              "https://doi.org/10.1007/978-3-642-22688-5_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-76298-0_50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007446759", 
              "https://doi.org/10.1007/978-3-540-76298-0_50"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-76298-0_50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007446759", 
              "https://doi.org/10.1007/978-3-540-76298-0_50"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68234-9_43", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012454389", 
              "https://doi.org/10.1007/978-3-540-68234-9_43"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68234-9_43", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012454389", 
              "https://doi.org/10.1007/978-3-540-68234-9_43"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.websem.2009.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015135252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10115-004-0179-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016645469", 
              "https://doi.org/10.1007/s10115-004-0179-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10115-004-0179-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016645469", 
              "https://doi.org/10.1007/s10115-004-0179-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020665000", 
              "https://doi.org/10.1007/978-3-540-30475-3_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30475-3_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020665000", 
              "https://doi.org/10.1007/978-3-540-30475-3_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11891451_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026882845", 
              "https://doi.org/10.1007/11891451_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11891451_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026882845", 
              "https://doi.org/10.1007/11891451_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14197-3_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041799139", 
              "https://doi.org/10.1007/978-3-642-14197-3_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14197-3_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041799139", 
              "https://doi.org/10.1007/978-3-642-14197-3_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icde.2009.119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095609173"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012", 
        "datePublishedReg": "2012-01-01", 
        "description": "Our purpose is to hide the complexity of formulating a query expressed in a graph query language such as SPARQL. We propose a mechanism allowing queries to be expressed in a very simple pivot language, mainly composed of keywords and relations between keywords. Our system associates the keywords with the corresponding elements of the ontology (classes, relations, instances). Then it selects pre-written query patterns, and instanciates them with regard to the keywords of the initial query. Several possible queries are generated, ranked and then shown to the user. These queries are presented by means of natural language sentences. The user then selects the query he/she is interested in and the SPARQL query is built.", 
        "editor": [
          {
            "familyName": "Croitoru", 
            "givenName": "Madalina", 
            "type": "Person"
          }, 
          {
            "familyName": "Rudolph", 
            "givenName": "Sebastian", 
            "type": "Person"
          }, 
          {
            "familyName": "Wilson", 
            "givenName": "Nic", 
            "type": "Person"
          }, 
          {
            "familyName": "Howse", 
            "givenName": "John", 
            "type": "Person"
          }, 
          {
            "familyName": "Corby", 
            "givenName": "Olivier", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-29449-5_7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-29448-8", 
            "978-3-642-29449-5"
          ], 
          "name": "Graph Structures for Knowledge Representation and Reasoning", 
          "type": "Book"
        }, 
        "name": "A Semantic Web Interface Using Patterns: The SWIP System", 
        "pagination": "172-187", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-29449-5_7"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "21d9035dd6a90657fede5e19e478cfa75f5e3a81d214d4a19635470905acdd39"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1007105546"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-29449-5_7", 
          "https://app.dimensions.ai/details/publication/pub.1007105546"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T13:25", 
        "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_8664_00000247.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-29449-5_7"
      }
    ]
     

    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.10.1007/978-3-642-29449-5_7'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-29449-5_7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-29449-5_7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-29449-5_7'


     

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

    136 TRIPLES      23 PREDICATES      36 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-29449-5_7 schema:about anzsrc-for:20
    2 anzsrc-for:2004
    3 schema:author N60a7a0ded90d4fcb855df4691a02ecf7
    4 schema:citation sg:pub.10.1007/11891451_22
    5 sg:pub.10.1007/978-3-540-30475-3_34
    6 sg:pub.10.1007/978-3-540-68234-9_43
    7 sg:pub.10.1007/978-3-540-76298-0_50
    8 sg:pub.10.1007/978-3-642-14197-3_11
    9 sg:pub.10.1007/978-3-642-22688-5_17
    10 sg:pub.10.1007/s10115-004-0179-0
    11 https://doi.org/10.1016/j.websem.2009.02.002
    12 https://doi.org/10.1109/icde.2009.119
    13 schema:datePublished 2012
    14 schema:datePublishedReg 2012-01-01
    15 schema:description Our purpose is to hide the complexity of formulating a query expressed in a graph query language such as SPARQL. We propose a mechanism allowing queries to be expressed in a very simple pivot language, mainly composed of keywords and relations between keywords. Our system associates the keywords with the corresponding elements of the ontology (classes, relations, instances). Then it selects pre-written query patterns, and instanciates them with regard to the keywords of the initial query. Several possible queries are generated, ranked and then shown to the user. These queries are presented by means of natural language sentences. The user then selects the query he/she is interested in and the SPARQL query is built.
    16 schema:editor N80f1ef0825c841e4a43e475955e92480
    17 schema:genre chapter
    18 schema:inLanguage en
    19 schema:isAccessibleForFree false
    20 schema:isPartOf Nbf8648e2662843e1a5f871d5c4766d2f
    21 schema:name A Semantic Web Interface Using Patterns: The SWIP System
    22 schema:pagination 172-187
    23 schema:productId N2e5031fccccf4c20868c4ccaa156e943
    24 N657d43639a09476095ffb24a6a9b4b1d
    25 N6f6d89a66a3b4b0aae0c60c4c08ccbfd
    26 schema:publisher N15e88b54eff34e5e895fac19df7c404d
    27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007105546
    28 https://doi.org/10.1007/978-3-642-29449-5_7
    29 schema:sdDatePublished 2019-04-15T13:25
    30 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    31 schema:sdPublisher N36136df51acf48339ea60412a447a267
    32 schema:url http://link.springer.com/10.1007/978-3-642-29449-5_7
    33 sgo:license sg:explorer/license/
    34 sgo:sdDataset chapters
    35 rdf:type schema:Chapter
    36 N09e0e45af2bf4d59a831d640b3602a91 schema:familyName Wilson
    37 schema:givenName Nic
    38 rdf:type schema:Person
    39 N0d612916e1164e51b60fbd0c6461d18e schema:name Département de Mathématiques-Informatique, IRIT, Université de Toulouse le Mirail, 5 allées Antonio Machado, F-31058 Toulouse Cedex, France
    40 rdf:type schema:Organization
    41 N15e88b54eff34e5e895fac19df7c404d schema:location Berlin, Heidelberg
    42 schema:name Springer Berlin Heidelberg
    43 rdf:type schema:Organisation
    44 N2e5031fccccf4c20868c4ccaa156e943 schema:name dimensions_id
    45 schema:value pub.1007105546
    46 rdf:type schema:PropertyValue
    47 N36136df51acf48339ea60412a447a267 schema:name Springer Nature - SN SciGraph project
    48 rdf:type schema:Organization
    49 N377fadcc12814e74800f6a6f6091e297 rdf:first N6050a53a2fbc4180954c6af86e3f5208
    50 rdf:rest Ne8ac2576c5c3408e8260374a11ff8e03
    51 N5c8e9fcfd3404ee88e59ddac2466e941 schema:familyName Corby
    52 schema:givenName Olivier
    53 rdf:type schema:Person
    54 N6050a53a2fbc4180954c6af86e3f5208 schema:familyName Howse
    55 schema:givenName John
    56 rdf:type schema:Person
    57 N60a7a0ded90d4fcb855df4691a02ecf7 rdf:first sg:person.016677270147.54
    58 rdf:rest Nc7c6f3d6f87e420989d97f974d6cca86
    59 N657d43639a09476095ffb24a6a9b4b1d schema:name doi
    60 schema:value 10.1007/978-3-642-29449-5_7
    61 rdf:type schema:PropertyValue
    62 N6dd6976b55244a92beb3464769002406 rdf:first sg:person.014064615340.47
    63 rdf:rest rdf:nil
    64 N6f6d89a66a3b4b0aae0c60c4c08ccbfd schema:name readcube_id
    65 schema:value 21d9035dd6a90657fede5e19e478cfa75f5e3a81d214d4a19635470905acdd39
    66 rdf:type schema:PropertyValue
    67 N7b152bcc30ab41d3b83e1cfe4c4062b9 schema:name Département de Mathématiques-Informatique, IRIT, Université de Toulouse le Mirail, 5 allées Antonio Machado, F-31058 Toulouse Cedex, France
    68 rdf:type schema:Organization
    69 N80f1ef0825c841e4a43e475955e92480 rdf:first N97a55644142a4770b3ab8ad9f2c85701
    70 rdf:rest Na9f59279213a48d599595164db22ae71
    71 N90950c99f943480daa8d80fb2c2a22c0 rdf:first N09e0e45af2bf4d59a831d640b3602a91
    72 rdf:rest N377fadcc12814e74800f6a6f6091e297
    73 N97a55644142a4770b3ab8ad9f2c85701 schema:familyName Croitoru
    74 schema:givenName Madalina
    75 rdf:type schema:Person
    76 Na9f59279213a48d599595164db22ae71 rdf:first Nb6fa5d07ba3345ee99d848a60c048cb9
    77 rdf:rest N90950c99f943480daa8d80fb2c2a22c0
    78 Nb6fa5d07ba3345ee99d848a60c048cb9 schema:familyName Rudolph
    79 schema:givenName Sebastian
    80 rdf:type schema:Person
    81 Nbf8648e2662843e1a5f871d5c4766d2f schema:isbn 978-3-642-29448-8
    82 978-3-642-29449-5
    83 schema:name Graph Structures for Knowledge Representation and Reasoning
    84 rdf:type schema:Book
    85 Nc7c6f3d6f87e420989d97f974d6cca86 rdf:first sg:person.016234666357.01
    86 rdf:rest N6dd6976b55244a92beb3464769002406
    87 Ne8ac2576c5c3408e8260374a11ff8e03 rdf:first N5c8e9fcfd3404ee88e59ddac2466e941
    88 rdf:rest rdf:nil
    89 Nf7696eb293484daabab9583f3ce1cce1 schema:name Département de Mathématiques-Informatique, IRIT, Université de Toulouse le Mirail, 5 allées Antonio Machado, F-31058 Toulouse Cedex, France
    90 rdf:type schema:Organization
    91 anzsrc-for:20 schema:inDefinedTermSet anzsrc-for:
    92 schema:name Language, Communication and Culture
    93 rdf:type schema:DefinedTerm
    94 anzsrc-for:2004 schema:inDefinedTermSet anzsrc-for:
    95 schema:name Linguistics
    96 rdf:type schema:DefinedTerm
    97 sg:person.014064615340.47 schema:affiliation N7b152bcc30ab41d3b83e1cfe4c4062b9
    98 schema:familyName Hernandez
    99 schema:givenName Nathalie
    100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014064615340.47
    101 rdf:type schema:Person
    102 sg:person.016234666357.01 schema:affiliation Nf7696eb293484daabab9583f3ce1cce1
    103 schema:familyName Haemmerlé
    104 schema:givenName Ollivier
    105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234666357.01
    106 rdf:type schema:Person
    107 sg:person.016677270147.54 schema:affiliation N0d612916e1164e51b60fbd0c6461d18e
    108 schema:familyName Pradel
    109 schema:givenName Camille
    110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016677270147.54
    111 rdf:type schema:Person
    112 sg:pub.10.1007/11891451_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026882845
    113 https://doi.org/10.1007/11891451_22
    114 rdf:type schema:CreativeWork
    115 sg:pub.10.1007/978-3-540-30475-3_34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020665000
    116 https://doi.org/10.1007/978-3-540-30475-3_34
    117 rdf:type schema:CreativeWork
    118 sg:pub.10.1007/978-3-540-68234-9_43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012454389
    119 https://doi.org/10.1007/978-3-540-68234-9_43
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/978-3-540-76298-0_50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007446759
    122 https://doi.org/10.1007/978-3-540-76298-0_50
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1007/978-3-642-14197-3_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041799139
    125 https://doi.org/10.1007/978-3-642-14197-3_11
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1007/978-3-642-22688-5_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006652628
    128 https://doi.org/10.1007/978-3-642-22688-5_17
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1007/s10115-004-0179-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016645469
    131 https://doi.org/10.1007/s10115-004-0179-0
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/j.websem.2009.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015135252
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1109/icde.2009.119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095609173
    136 rdf:type schema:CreativeWork
     




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


    ...