A survey in semantic search technologies

Dong, H; Hussain, FK; Chang, E

A survey in semantic search technologies

Dong, H Hussain, FK

Chang, E

Publication Type:: Conference Proceeding
Citation:: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008, 2008, pp. 403 - 408
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Dong, H	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008, 2008, pp. 403 - 408	en_US
dc.identifier.isbn	1424414903	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29406
dc.description.abstract	In this paper, we make a survey over the primary literature regarding semantic search technologies. By classifying the literature into six main categories, we review their characteristics respectively. In addition, the issues within the reviewed semantic search methods and engines are analysed and concluded based on four perspectives. © 2008 IEEE.	en_US
dc.relation.ispartof	2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008	en_US
dc.relation.isbasedon	10.1109/DEST.2008.4635202	en_US
dc.title	A survey in semantic search technologies	en_US
dc.type	Conference Proceeding
utslib.description.version	Published	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Phitsanulok, Thailand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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Abstract:

In this paper, we make a survey over the primary literature regarding semantic search technologies. By classifying the literature into six main categories, we review their characteristics respectively. In addition, the issues within the reviewed semantic search methods and engines are analysed and concluded based on four perspectives. © 2008 IEEE.

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http://hdl.handle.net/10453/29406