Improving the search on the Internet by using WordNet and lexical operators

Description:

This article discusses improving the search on the internet by using WordNet and lexical operators.

Creator(s):
Creation Date: July 21, 1999
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 56
Past 30 days: 1
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Creator (Author):
Moldovan, Dan I.

Southern Methodist University

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas; Southern Methodist University

Publisher Info:
Place of Publication: [New York, New York]
Date(s):
  • Creation: July 21, 1999
Description:

This article discusses improving the search on the internet by using WordNet and lexical operators.

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Note:

Abstract: This paper presents a natural language interface system to an Internet search engine that provides the following improvements: (1) accepts natural language (English) questions, (2) expands the query, based on a word sense disambiguation method, and (3) uses a new lexical operator to post-process the documents retrieved for extracting only the part of a document that is relevant to a query. The system was tested on 100 queries of which 50 were adopted from the TIPSTER topics collection, provided at the 6th Text Retrieval Conference (TREC-6) and 50 were selected from among the queries submitted by users to an existing Web search engine. The results obtained demonstrate a substantial increase in both the precision and the percentage of queries answered correctly, while the amount of text presented to the user is reduced in comparison with the current Internet search engine technology.

Physical Description:

18 p.

Language(s):
Subject(s):
Keyword(s): information retrieval | natural language processing | search engines | word sense disambiguation
Source: IEEE Internet Computing, 2000, New York: Institute of Electrical and Electronics Engineers
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc83306
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: IEEE Internet Computing
Volume: 14
Issue: 1
Peer Reviewed: Yes