Building a semantic model of a textual document for efficient search and retrieval

Authors:
Enkhbold Nyamsuren;Ho-Jin Choi
Affiliations:
Intelligent Software Engineering and Robotics Lab., Information and Communications University, Daejeon, Republic of Korea;Intelligent Software Engineering and Robotics Lab., Information and Communications University, Daejeon, Republic of Korea
Venue:
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Year:
2009

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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.