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