DocumentCode :
491960
Title :
Building a semantic model of a textual document for efficient search and retrieval
Author :
Nyamsuren, Enkhbold ; Choi, Ho-Jin
Author_Institution :
Intell. Software Eng. & Robot. Lab., Inf. & Commun. Univ., Daejeon
Volume :
01
fYear :
2009
fDate :
15-18 Feb. 2009
Firstpage :
298
Lastpage :
302
Abstract :
This paper describes a new approach of enhancing textual document search and retrieval. The approach tries to take advantage of structured query languages in search and retrieval. For this purpose the semantic model of the document is created. The semantic model of the document is an ontology-like structured semantic annotation of the document that can support structured querying. This paper discusses how semantic model can be created from textual document and how set of semantic models can be efficiently searched through structured query language.
Keywords :
information retrieval; ontologies (artificial intelligence); query languages; semantic networks; text analysis; document retrieval; document search; ontology-like structured semantic annotation; semantic model; structured query languages; structured querying; textual document; Database languages; Information retrieval; Intelligent robots; Intelligent structures; Ontologies; Prototypes; Semantic Web; Software engineering; Taxonomy; Text analysis; Semantic web; co-occurrence; document; keywords; ontology; relation analysis; semantic model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
Conference_Location :
Phoenix Park
ISSN :
1738-9445
Print_ISBN :
978-89-5519-138-7
Electronic_ISBN :
1738-9445
Type :
conf
Filename :
4809956
Link To Document :
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