Interleaving Ontology Mapping for Online Semantic Annotation on Semantic Wiki

We have designed a system that automatically annotates language resources online by referring to the semantic correspondences obtained from ontology mapping methods. Every time user inputs a term, triplets are created using a predefined pattern-triplet mapping table. If an unidentifiable term has be...

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Bibliographic Details
Published inProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Vol. 3; pp. 25 - 28
Main Authors Ahn, Jinhyun, Jung, Jason J., Choi, Key-Sun
Format Conference Proceeding
LanguageEnglish
Published Washington, DC, USA IEEE Computer Society 09.12.2008
IEEE
SeriesACM Conferences
Subjects
Applied computing > Document management and text processing > Document management > Text editing
Collaborative editing
Collaborative tools
Collaborative work
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning
HTML
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Web-based interaction
Information systems > Information retrieval
Information systems > Information storage systems
Intelligent agent
Interleaved codes
Markup languages
Ontologies
Ontology mapping
Semantic annotation
Semantic wiki
Theory of computation > Logic
Thesauri
Vocabulary
Web pages
Ontology mapping
Collaborative editing
Semantic annotation
Semantic wiki
Online AccessGet full text
ISBN9780769534961
0769534961
DOI10.1109/WIIAT.2008.229

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Summary:We have designed a system that automatically annotates language resources online by referring to the semantic correspondences obtained from ontology mapping methods. Every time user inputs a term, triplets are created using a predefined pattern-triplet mapping table. If an unidentifiable term has been entered (i.e., triplets could not be created from it), the system suggests alternative terms from a thesaurus. An ontology mapping task is to map the triplets into background ontologies, efficiently producing a semantic wiki page whose tag vocabularies are derived from the ontologies. In practice, collaborative editing is also available without leading to semantic inconsistency between editors, by allowing them to use their own background ontologies and aligning these different background ontologies.
ISBN:9780769534961
0769534961
DOI:10.1109/WIIAT.2008.229