Collecting Links between Entities Ranked by Human Association Strengths View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

Jörn Hees , Mohamed Khamis , Ralf Biedert , Slim Abdennadher , Andreas Dengel

ABSTRACT

In recent years, the ongoing adoption of Semantic Web technologies has lead to a large amount of Linked Data that has been generated. While in the early days of the Semantic Web we were fighting data scarcity, nowadays we suffer from an overflow of information. In many situations we want to restrict the amount of facts which is shown to an end-user or passed on to another system to just the most important ones. In this paper we propose to rank facts in accordance to human association strengths between concepts. In order to collect a ground truth we developed a Family Feud like web-game called “Knowledge Test Game”. Given a Linked Data entity it collects other associated Linked Data entities from its players. We explain the game’s concept, its suggestion box which maps the players’ text input back to Linked Data entities and include a detailed evaluation of the game showing promising results. The collected data is published and can be used to evaluate algorithms which rank facts. More... »

PAGES

517-531

References to SciGraph publications

  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • 2011. BetterRelations: Using a Game to Rate Linked Data Triples in KI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2012. BetterRelations: Collecting Association Strengths for Linked Data Triples with a Game in SEARCH COMPUTING
  • Book

    TITLE

    The Semantic Web: Semantics and Big Data

    ISBN

    978-3-642-38287-1
    978-3-642-38288-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-38288-8_35

    DOI

    http://dx.doi.org/10.1007/978-3-642-38288-8_35

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037248357


    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": "University of Kaiserslautern", 
              "id": "https://www.grid.ac/institutes/grid.7645.0", 
              "name": [
                "Computer Science Department, University of Kaiserslautern, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hees", 
            "givenName": "J\u00f6rn", 
            "id": "sg:person.010110034256.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010110034256.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German University in Cairo", 
              "id": "https://www.grid.ac/institutes/grid.187323.c", 
              "name": [
                "Computer Science & Engineering Department, German University in Cairo, Egypt"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khamis", 
            "givenName": "Mohamed", 
            "id": "sg:person.016027425124.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016027425124.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German Research Centre for Artificial Intelligence", 
              "id": "https://www.grid.ac/institutes/grid.17272.31", 
              "name": [
                "Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Biedert", 
            "givenName": "Ralf", 
            "id": "sg:person.014750346647.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014750346647.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German University in Cairo", 
              "id": "https://www.grid.ac/institutes/grid.187323.c", 
              "name": [
                "Computer Science & Engineering Department, German University in Cairo, Egypt"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Abdennadher", 
            "givenName": "Slim", 
            "id": "sg:person.010445445574.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010445445574.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Kaiserslautern", 
              "id": "https://www.grid.ac/institutes/grid.7645.0", 
              "name": [
                "Computer Science Department, University of Kaiserslautern, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dengel", 
            "givenName": "Andreas", 
            "id": "sg:person.013470717713.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013470717713.71"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/2063518.2063528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003788871"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-24455-1_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004219673", 
              "https://doi.org/10.1007/978-3-642-24455-1_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-24455-1_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004219673", 
              "https://doi.org/10.1007/978-3-642-24455-1_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4018/jswis.2009081901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005783792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.websem.2009.07.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011160236"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-34213-4_15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019666810", 
              "https://doi.org/10.1007/978-3-642-34213-4_15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/scientificamerican0501-34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056527616", 
              "https://doi.org/10.1038/scientificamerican0501-34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mis.2008.45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061406068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tkde.2007.48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061661815"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013", 
        "datePublishedReg": "2013-01-01", 
        "description": "In recent years, the ongoing adoption of Semantic Web technologies has lead to a large amount of Linked Data that has been generated. While in the early days of the Semantic Web we were fighting data scarcity, nowadays we suffer from an overflow of information. In many situations we want to restrict the amount of facts which is shown to an end-user or passed on to another system to just the most important ones. In this paper we propose to rank facts in accordance to human association strengths between concepts. In order to collect a ground truth we developed a Family Feud like web-game called \u201cKnowledge Test Game\u201d. Given a Linked Data entity it collects other associated Linked Data entities from its players. We explain the game\u2019s concept, its suggestion box which maps the players\u2019 text input back to Linked Data entities and include a detailed evaluation of the game showing promising results. The collected data is published and can be used to evaluate algorithms which rank facts.", 
        "editor": [
          {
            "familyName": "Cimiano", 
            "givenName": "Philipp", 
            "type": "Person"
          }, 
          {
            "familyName": "Corcho", 
            "givenName": "Oscar", 
            "type": "Person"
          }, 
          {
            "familyName": "Presutti", 
            "givenName": "Valentina", 
            "type": "Person"
          }, 
          {
            "familyName": "Hollink", 
            "givenName": "Laura", 
            "type": "Person"
          }, 
          {
            "familyName": "Rudolph", 
            "givenName": "Sebastian", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-38288-8_35", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": {
          "isbn": [
            "978-3-642-38287-1", 
            "978-3-642-38288-8"
          ], 
          "name": "The Semantic Web: Semantics and Big Data", 
          "type": "Book"
        }, 
        "name": "Collecting Links between Entities Ranked by Human Association Strengths", 
        "pagination": "517-531", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-38288-8_35"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b17043f102ba6da3393c21390bb978797fb76dd5ab9abc605a038424cbd90a7b"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037248357"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-38288-8_35", 
          "https://app.dimensions.ai/details/publication/pub.1037248357"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T12:33", 
        "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_8663_00000266.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-38288-8_35"
      }
    ]
     

    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.10.1007/978-3-642-38288-8_35'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38288-8_35'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38288-8_35'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38288-8_35'


     

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

    146 TRIPLES      23 PREDICATES      35 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-38288-8_35 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author Naa34ac4b028a4f32a6a6acb97d0e9de7
    4 schema:citation sg:pub.10.1007/978-3-642-24455-1_12
    5 sg:pub.10.1007/978-3-642-34213-4_15
    6 sg:pub.10.1038/scientificamerican0501-34
    7 https://doi.org/10.1016/j.websem.2009.07.002
    8 https://doi.org/10.1109/mis.2008.45
    9 https://doi.org/10.1109/tkde.2007.48
    10 https://doi.org/10.1145/2063518.2063528
    11 https://doi.org/10.4018/jswis.2009081901
    12 schema:datePublished 2013
    13 schema:datePublishedReg 2013-01-01
    14 schema:description In recent years, the ongoing adoption of Semantic Web technologies has lead to a large amount of Linked Data that has been generated. While in the early days of the Semantic Web we were fighting data scarcity, nowadays we suffer from an overflow of information. In many situations we want to restrict the amount of facts which is shown to an end-user or passed on to another system to just the most important ones. In this paper we propose to rank facts in accordance to human association strengths between concepts. In order to collect a ground truth we developed a Family Feud like web-game called “Knowledge Test Game”. Given a Linked Data entity it collects other associated Linked Data entities from its players. We explain the game’s concept, its suggestion box which maps the players’ text input back to Linked Data entities and include a detailed evaluation of the game showing promising results. The collected data is published and can be used to evaluate algorithms which rank facts.
    15 schema:editor N9c05b79a8363461a9fed2730daa34393
    16 schema:genre chapter
    17 schema:inLanguage en
    18 schema:isAccessibleForFree true
    19 schema:isPartOf N5897133a9fac4e1abe0cb7497db37050
    20 schema:name Collecting Links between Entities Ranked by Human Association Strengths
    21 schema:pagination 517-531
    22 schema:productId N4f1620b143c748dc924ca217d29e8964
    23 N57145d1bcc1d43dbbcbfecea561f7a32
    24 Nce536c8920664ff5a7873bfb4d8ecab8
    25 schema:publisher N211b2947b672401a9aa8a5a13bc65de3
    26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037248357
    27 https://doi.org/10.1007/978-3-642-38288-8_35
    28 schema:sdDatePublished 2019-04-15T12:33
    29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    30 schema:sdPublisher Nf758858974c14f12bc64a19eb528bca1
    31 schema:url http://link.springer.com/10.1007/978-3-642-38288-8_35
    32 sgo:license sg:explorer/license/
    33 sgo:sdDataset chapters
    34 rdf:type schema:Chapter
    35 N051cd9c15efe461f83d840dea60304c5 schema:familyName Rudolph
    36 schema:givenName Sebastian
    37 rdf:type schema:Person
    38 N179fe456ae834c57b1fd1b49d1f7f020 rdf:first N051cd9c15efe461f83d840dea60304c5
    39 rdf:rest rdf:nil
    40 N211b2947b672401a9aa8a5a13bc65de3 schema:location Berlin, Heidelberg
    41 schema:name Springer Berlin Heidelberg
    42 rdf:type schema:Organisation
    43 N27855c81d4c74f228e076ed665cd756f rdf:first sg:person.014750346647.17
    44 rdf:rest N7f2e8f2e4f114f78b4f8d9821730a434
    45 N2c31c6ac03c04411b271834496cb898c rdf:first N67857122455345019700a81bdf7e300b
    46 rdf:rest N356c7665997c4ab5920361759f8db4fb
    47 N356c7665997c4ab5920361759f8db4fb rdf:first N8cbfda79791d4c6b95bac24b7f12a974
    48 rdf:rest N179fe456ae834c57b1fd1b49d1f7f020
    49 N425ff5b3161d45c59fc3c1d18d8472a5 schema:familyName Corcho
    50 schema:givenName Oscar
    51 rdf:type schema:Person
    52 N4f1620b143c748dc924ca217d29e8964 schema:name doi
    53 schema:value 10.1007/978-3-642-38288-8_35
    54 rdf:type schema:PropertyValue
    55 N57145d1bcc1d43dbbcbfecea561f7a32 schema:name readcube_id
    56 schema:value b17043f102ba6da3393c21390bb978797fb76dd5ab9abc605a038424cbd90a7b
    57 rdf:type schema:PropertyValue
    58 N5897133a9fac4e1abe0cb7497db37050 schema:isbn 978-3-642-38287-1
    59 978-3-642-38288-8
    60 schema:name The Semantic Web: Semantics and Big Data
    61 rdf:type schema:Book
    62 N6676d762f94f4b15a6d6b7ab240f01ce rdf:first N425ff5b3161d45c59fc3c1d18d8472a5
    63 rdf:rest N2c31c6ac03c04411b271834496cb898c
    64 N67857122455345019700a81bdf7e300b schema:familyName Presutti
    65 schema:givenName Valentina
    66 rdf:type schema:Person
    67 N7f2e8f2e4f114f78b4f8d9821730a434 rdf:first sg:person.010445445574.13
    68 rdf:rest Nb357735a239a456291339f06fcbf868c
    69 N83d94080c15744c8b0cf8e4b36cbd069 rdf:first sg:person.016027425124.44
    70 rdf:rest N27855c81d4c74f228e076ed665cd756f
    71 N8cbfda79791d4c6b95bac24b7f12a974 schema:familyName Hollink
    72 schema:givenName Laura
    73 rdf:type schema:Person
    74 N9c05b79a8363461a9fed2730daa34393 rdf:first Nc3fba4113ab44097affb757378b20079
    75 rdf:rest N6676d762f94f4b15a6d6b7ab240f01ce
    76 Naa34ac4b028a4f32a6a6acb97d0e9de7 rdf:first sg:person.010110034256.04
    77 rdf:rest N83d94080c15744c8b0cf8e4b36cbd069
    78 Nb357735a239a456291339f06fcbf868c rdf:first sg:person.013470717713.71
    79 rdf:rest rdf:nil
    80 Nc3fba4113ab44097affb757378b20079 schema:familyName Cimiano
    81 schema:givenName Philipp
    82 rdf:type schema:Person
    83 Nce536c8920664ff5a7873bfb4d8ecab8 schema:name dimensions_id
    84 schema:value pub.1037248357
    85 rdf:type schema:PropertyValue
    86 Nf758858974c14f12bc64a19eb528bca1 schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Information and Computing Sciences
    90 rdf:type schema:DefinedTerm
    91 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    92 schema:name Information Systems
    93 rdf:type schema:DefinedTerm
    94 sg:person.010110034256.04 schema:affiliation https://www.grid.ac/institutes/grid.7645.0
    95 schema:familyName Hees
    96 schema:givenName Jörn
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010110034256.04
    98 rdf:type schema:Person
    99 sg:person.010445445574.13 schema:affiliation https://www.grid.ac/institutes/grid.187323.c
    100 schema:familyName Abdennadher
    101 schema:givenName Slim
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010445445574.13
    103 rdf:type schema:Person
    104 sg:person.013470717713.71 schema:affiliation https://www.grid.ac/institutes/grid.7645.0
    105 schema:familyName Dengel
    106 schema:givenName Andreas
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013470717713.71
    108 rdf:type schema:Person
    109 sg:person.014750346647.17 schema:affiliation https://www.grid.ac/institutes/grid.17272.31
    110 schema:familyName Biedert
    111 schema:givenName Ralf
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014750346647.17
    113 rdf:type schema:Person
    114 sg:person.016027425124.44 schema:affiliation https://www.grid.ac/institutes/grid.187323.c
    115 schema:familyName Khamis
    116 schema:givenName Mohamed
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016027425124.44
    118 rdf:type schema:Person
    119 sg:pub.10.1007/978-3-642-24455-1_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004219673
    120 https://doi.org/10.1007/978-3-642-24455-1_12
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1007/978-3-642-34213-4_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019666810
    123 https://doi.org/10.1007/978-3-642-34213-4_15
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1038/scientificamerican0501-34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056527616
    126 https://doi.org/10.1038/scientificamerican0501-34
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1016/j.websem.2009.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011160236
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1109/mis.2008.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061406068
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1109/tkde.2007.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661815
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1145/2063518.2063528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003788871
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.4018/jswis.2009081901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005783792
    137 rdf:type schema:CreativeWork
    138 https://www.grid.ac/institutes/grid.17272.31 schema:alternateName German Research Centre for Artificial Intelligence
    139 schema:name Knowledge Management Department, DFKI GmbH, Kaiserslautern, Germany
    140 rdf:type schema:Organization
    141 https://www.grid.ac/institutes/grid.187323.c schema:alternateName German University in Cairo
    142 schema:name Computer Science & Engineering Department, German University in Cairo, Egypt
    143 rdf:type schema:Organization
    144 https://www.grid.ac/institutes/grid.7645.0 schema:alternateName University of Kaiserslautern
    145 schema:name Computer Science Department, University of Kaiserslautern, Germany
    146 rdf:type schema:Organization
     




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


    ...