A framework of faceted search for unstructured documents using Wiki disambiguation

Dang DB, Nguyen HS, Nguyen BT, & Duong TH (2015). A framework of faceted search for unstructured documents using Wiki disambiguation. In: Computational Collective Intelligence. pp. 502-511 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-24306-1 DOI:10.1007/978-3-319-24306-1_49.

Full text not available from this repository.

Abstract

According to literature review, there are two challenges in search engines: lexical ambiguity and search results filtering. Moreover, the faceted search usually applies for structured data, rarely uses for unstructured documents. To solve the aforementioned problems, we proposed an effective method to build a faceted search for unstructured documents that utilizes wiki disambiguation data to build the semantic search space; the search is to return the most relevant results with a collaborative filtering. The faceted search also can solve the lexical ambiguity problem in current search engines.

Item Type: Book Section
Additional Information: 7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II
Uncontrolled Keywords: Faceted search; Semantic search; Lexical ambiguity; Disambiguation; Wiki
Research Programs: Air Quality & Greenhouse Gases (AIR)
Depositing User: Romeo Molina
Date Deposited: 23 May 2016 12:57
Last Modified: 23 May 2016 12:57
URI: http://pure.iiasa.ac.at/13241

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313