Knowledge base grid: A generic grid architecture for semantic web View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-07

AUTHORS

ZhaoHui Wu, HuaJun Chen, JieFeng Xu

ABSTRACT

The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid) for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine (TCM) is described. More... »

PAGES

462-473

References to SciGraph publications

  • 1999-10-29. Shaping a CBR view with XML in CASE-BASED REASONING RESEARCH AND DEVELOPMENT
  • 2002. Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema in THE SEMANTIC WEB — ISWC 2002
  • 2002. DAML-S: Web Service Description for the Semantic Web in THE SEMANTIC WEB — ISWC 2002
  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • 2001-08-17. The Anatomy of the Grid: Enabling Scalable Virtual Organizations in EURO-PAR 2001 PARALLEL PROCESSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02948920

    DOI

    http://dx.doi.org/10.1007/bf02948920

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037064686


    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": "Zhejiang University", 
              "id": "https://www.grid.ac/institutes/grid.13402.34", 
              "name": [
                "Grid Computing Lab, College of Computer Science, Zhejiang University, 310027, Hangzhon, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "ZhaoHui", 
            "id": "sg:person.012277551221.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012277551221.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhejiang University", 
              "id": "https://www.grid.ac/institutes/grid.13402.34", 
              "name": [
                "Grid Computing Lab, College of Computer Science, Zhejiang University, 310027, Hangzhon, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "HuaJun", 
            "id": "sg:person.011502170621.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011502170621.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Zhejiang University", 
              "id": "https://www.grid.ac/institutes/grid.13402.34", 
              "name": [
                "Grid Computing Lab, College of Computer Science, Zhejiang University, 310027, Hangzhon, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "JieFeng", 
            "id": "sg:person.013075131621.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075131621.43"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/191246.191322", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007488964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/0470867167.ch8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008073199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44681-8_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012131795", 
              "https://doi.org/10.1007/3-540-44681-8_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44681-8_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012131795", 
              "https://doi.org/10.1007/3-540-44681-8_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/602421.602425", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022361503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48005-6_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036167102", 
              "https://doi.org/10.1007/3-540-48005-6_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-1-4832-0771-1.50022-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038391245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48005-6_27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040312748", 
              "https://doi.org/10.1007/3-540-48005-6_27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48508-2_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051307568", 
              "https://doi.org/10.1007/3-540-48508-2_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48508-2_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051307568", 
              "https://doi.org/10.1007/3-540-48508-2_34"
            ], 
            "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/10.1109/5254.920599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061186386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/5254.920601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061186388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hpdc.2001.945188", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095581956"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2003-07", 
        "datePublishedReg": "2003-07-01", 
        "description": "The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid) for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine (TCM) is described.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf02948920", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1320078", 
            "issn": [
              "1666-6046", 
              "1666-6038"
            ], 
            "name": "Journal of Computer Science and Technology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "18"
          }
        ], 
        "name": "Knowledge base grid: A generic grid architecture for semantic web", 
        "pagination": "462-473", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b0901009e22713592cbc857b7ff00aa2dfdca7608a9bb8668def642dd46465e0"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02948920"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037064686"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02948920", 
          "https://app.dimensions.ai/details/publication/pub.1037064686"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:32", 
        "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/v90/0000000373_0000000373/records_13099_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2FBF02948920"
      }
    ]
     

    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/bf02948920'

    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/bf02948920'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02948920'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02948920'


     

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

    116 TRIPLES      21 PREDICATES      39 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02948920 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author Nd7fe7396bb994011983aec32a07c4daf
    4 schema:citation sg:pub.10.1007/3-540-44681-8_1
    5 sg:pub.10.1007/3-540-48005-6_27
    6 sg:pub.10.1007/3-540-48005-6_7
    7 sg:pub.10.1007/3-540-48508-2_34
    8 sg:pub.10.1038/scientificamerican0501-34
    9 https://doi.org/10.1002/0470867167.ch8
    10 https://doi.org/10.1016/b978-1-4832-0771-1.50022-9
    11 https://doi.org/10.1109/5254.920599
    12 https://doi.org/10.1109/5254.920601
    13 https://doi.org/10.1109/hpdc.2001.945188
    14 https://doi.org/10.1145/191246.191322
    15 https://doi.org/10.1145/602421.602425
    16 schema:datePublished 2003-07
    17 schema:datePublishedReg 2003-07-01
    18 schema:description The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. In this paper, a generic Knowledge Base Grid Architecture (KB-Grid) for building large-scale knowledge systems on the semantic web is presented. KB-Grid suggests a paradigm that emphasizes how to organize, discover, utilize, and manage web knowledge base resources. Four principal components are under development: a semantic browser for retrieving and browsing semantically enriched information, a knowledge server acting as the web container for knowledge, an ontology server for managing web ontologies, and a knowledge base directory server acting as the registry and catalog of KBs. Also a referential model of knowledge service and the mechanisms required for semantic communication within KB-Grid are defined. To verify the design rationale underlying the KB-Grid, an implementation of Traditional Chinese Medicine (TCM) is described.
    19 schema:genre research_article
    20 schema:inLanguage en
    21 schema:isAccessibleForFree false
    22 schema:isPartOf Ncd455ee6615b4eb7abde11c5ab82c164
    23 Ncd6dcc4428734566a145e0b9406577c0
    24 sg:journal.1320078
    25 schema:name Knowledge base grid: A generic grid architecture for semantic web
    26 schema:pagination 462-473
    27 schema:productId N4d6d3061946a4866b2329297cb5187c8
    28 N9b7e3c8556b14d3190ddfddcd5d463f7
    29 Ndb4bd7b1ac624495bc76995bfe742143
    30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037064686
    31 https://doi.org/10.1007/bf02948920
    32 schema:sdDatePublished 2019-04-11T14:32
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher N1de9b2a695894b8591a6a91697c9439e
    35 schema:url http://link.springer.com/10.1007%2FBF02948920
    36 sgo:license sg:explorer/license/
    37 sgo:sdDataset articles
    38 rdf:type schema:ScholarlyArticle
    39 N1de9b2a695894b8591a6a91697c9439e schema:name Springer Nature - SN SciGraph project
    40 rdf:type schema:Organization
    41 N21a1616ff26e4fb59922450659b751c9 rdf:first sg:person.011502170621.50
    42 rdf:rest N732f16ef27e3480c90fda2f6ca26c7db
    43 N4d6d3061946a4866b2329297cb5187c8 schema:name readcube_id
    44 schema:value b0901009e22713592cbc857b7ff00aa2dfdca7608a9bb8668def642dd46465e0
    45 rdf:type schema:PropertyValue
    46 N732f16ef27e3480c90fda2f6ca26c7db rdf:first sg:person.013075131621.43
    47 rdf:rest rdf:nil
    48 N9b7e3c8556b14d3190ddfddcd5d463f7 schema:name doi
    49 schema:value 10.1007/bf02948920
    50 rdf:type schema:PropertyValue
    51 Ncd455ee6615b4eb7abde11c5ab82c164 schema:volumeNumber 18
    52 rdf:type schema:PublicationVolume
    53 Ncd6dcc4428734566a145e0b9406577c0 schema:issueNumber 4
    54 rdf:type schema:PublicationIssue
    55 Nd7fe7396bb994011983aec32a07c4daf rdf:first sg:person.012277551221.51
    56 rdf:rest N21a1616ff26e4fb59922450659b751c9
    57 Ndb4bd7b1ac624495bc76995bfe742143 schema:name dimensions_id
    58 schema:value pub.1037064686
    59 rdf:type schema:PropertyValue
    60 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    61 schema:name Information and Computing Sciences
    62 rdf:type schema:DefinedTerm
    63 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    64 schema:name Information Systems
    65 rdf:type schema:DefinedTerm
    66 sg:journal.1320078 schema:issn 1666-6038
    67 1666-6046
    68 schema:name Journal of Computer Science and Technology
    69 rdf:type schema:Periodical
    70 sg:person.011502170621.50 schema:affiliation https://www.grid.ac/institutes/grid.13402.34
    71 schema:familyName Chen
    72 schema:givenName HuaJun
    73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011502170621.50
    74 rdf:type schema:Person
    75 sg:person.012277551221.51 schema:affiliation https://www.grid.ac/institutes/grid.13402.34
    76 schema:familyName Wu
    77 schema:givenName ZhaoHui
    78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012277551221.51
    79 rdf:type schema:Person
    80 sg:person.013075131621.43 schema:affiliation https://www.grid.ac/institutes/grid.13402.34
    81 schema:familyName Xu
    82 schema:givenName JieFeng
    83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075131621.43
    84 rdf:type schema:Person
    85 sg:pub.10.1007/3-540-44681-8_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012131795
    86 https://doi.org/10.1007/3-540-44681-8_1
    87 rdf:type schema:CreativeWork
    88 sg:pub.10.1007/3-540-48005-6_27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040312748
    89 https://doi.org/10.1007/3-540-48005-6_27
    90 rdf:type schema:CreativeWork
    91 sg:pub.10.1007/3-540-48005-6_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036167102
    92 https://doi.org/10.1007/3-540-48005-6_7
    93 rdf:type schema:CreativeWork
    94 sg:pub.10.1007/3-540-48508-2_34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051307568
    95 https://doi.org/10.1007/3-540-48508-2_34
    96 rdf:type schema:CreativeWork
    97 sg:pub.10.1038/scientificamerican0501-34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056527616
    98 https://doi.org/10.1038/scientificamerican0501-34
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1002/0470867167.ch8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008073199
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1016/b978-1-4832-0771-1.50022-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038391245
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.1109/5254.920599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061186386
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.1109/5254.920601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061186388
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1109/hpdc.2001.945188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095581956
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1145/191246.191322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007488964
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1145/602421.602425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022361503
    113 rdf:type schema:CreativeWork
    114 https://www.grid.ac/institutes/grid.13402.34 schema:alternateName Zhejiang University
    115 schema:name Grid Computing Lab, College of Computer Science, Zhejiang University, 310027, Hangzhon, P.R. China
    116 rdf:type schema:Organization
     




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


    ...