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dc.contributor.authorMartin, Philippeen_US
dc.contributor.authorEklund, Pr Peteren_US
dc.date.accessioned2006-06-10en_US
dc.date.accessioned2014-06-19T22:43:36Z
dc.date.accessioned2017-03-02T00:11:05Z
dc.date.available2017-03-02T00:11:05Z
dc.date.issued2001en_US
dc.date.modified2014-06-19T22:43:36Z
dc.identifier.issn0302-9743en_US
dc.identifier.doi10.1007/3-540-44583-8_17en_US
dc.identifier.urihttp://hdl.handle.net/10072/60675
dc.description.abstractWe describe a knowledge server that permits Web users to retrieve and add knowledge in a shared knowledge base. The following features distinguish WebKB-2 from other ontology servers or KBMSs: (i) the ontology is large (at present, 69,000 categories and 87,800 links mostly coming from WordNet) and extendible at any time by any user, (ii) asynchronous cooperation between users is supported and encouraged (users are encouraged to re-use, complement or correct the knowledge of other users but do not have to agree with each other and may add new names to categories) while the knowledge base is kept unique to maximize knowledge interconnection, retrieval and inconsistency detection, (iii) the proposed knowledge representation languages are designed to be both expressive and readable to permit and encourage the users to enter all the knowledge they want (though that still requires motivation). WebKB-2 is ultimately intended to permit cooperatively-built Yellow-Page like catalogs, that is, permit Web users to publish their information in a way that is automatically retrievable and comparable with other users' knowledge (as opposed to publishing information in plain text documents or even RDF documents). For example, database developpers or car dealers could describe and compare their products in a precise way, supporting precise queries.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.publisherSpringeren_US
dc.publisher.placeUSAen_US
dc.relation.ispartofpagefrom231en_US
dc.relation.ispartofpageto244en_US
dc.relation.ispartofjournalLecture Notes in Artificial Intelligenceen_US
dc.relation.ispartofvolume2120en_US
dc.subject.fieldofresearchPRE2009-Information Storage, Retrieval and Managementen_US
dc.subject.fieldofresearchcode280103en_US
dc.titleLarge-scale cooperatively-built KBsen_US
dc.typeJournal article
dc.type.descriptionJournal Articles (Refereed Article)en_US
dc.type.codec1xen_US
gro.facultyFaculty of Engineering and Information Technologyen_US
gro.hasfulltextNo Full Text


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