A Modular Approach to Document Indexing and Semantic Search

Dhanya Ravishankar; Krishnaprasad Thirunarayan; Trivikram Immaneni

A Modular Approach to Document Indexing and Semantic Search

Dhanya Ravishankar, Krishnaprasad Thirunarayan, Trivikram Immaneni

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper develops a modular approach to improving effectiveness of searching documents for information by reusing and integrating mature software components such as Lucene APIs, WORDNET, LSA techniques, and domain-specific controlled vocabulary. To evaluate the practical benefits, the prototype was used to query MEDLINE database, and to locate domain-specific controlled vocabulary terms in Materials and Process Specifications. Its extensibility has been demonstrated by incorporating a spell-checker for the input query, and by structuring the retrieved output into hierarchical collections for quicker assimilation. It is also being used to experimentally explore the relationship between LSA and document clustering using 20-mini-newsgroups and Reuters data. In future, this prototype will be used as experimental testbed for expressive, context-aware and scalable searches.

Original language	English
Title of host publication	Proceedings of the IASTED International Conference on Web Technologies, Applications, and Services, WTAS 2005
Editors	M.H. Hamza
Publisher	ACTA Press
Pages	165-170
Number of pages	6
ISBN (Print)	0889864853, 9780889864856
State	Published - 2005
Event	International Conference on Web Technologies, Applications, and Services, WTAS 2005 - Calgary, AB, Canada Duration: Jul 4 2005 → Jul 6 2005

Conference

Conference	International Conference on Web Technologies, Applications, and Services, WTAS 2005
Country/Territory	Canada
City	Calgary, AB
Period	7/4/05 → 7/6/05

ASJC Scopus Subject Areas

General Engineering

Keywords

Document Clustering
Domain-Specific Search
Latent Semantic Indexing
Modular Search Engine
Search and Querying
Tools

Disciplines

Databases and Information Systems
Cataloging and Metadata

Access to Document

PresentationFinal published version, 283 KBLicense: CC BY

Cite this

A Modular Approach to Document Indexing and Semantic Search. / Ravishankar, Dhanya; Thirunarayan, Krishnaprasad; Immaneni, Trivikram.
Proceedings of the IASTED International Conference on Web Technologies, Applications, and Services, WTAS 2005. ed. / M.H. Hamza. ACTA Press, 2005. p. 165-170.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ravishankar, D, Thirunarayan, K & Immaneni, T 2005, A Modular Approach to Document Indexing and Semantic Search. in MH Hamza (ed.), Proceedings of the IASTED International Conference on Web Technologies, Applications, and Services, WTAS 2005. ACTA Press, pp. 165-170, International Conference on Web Technologies, Applications, and Services, WTAS 2005, Calgary, AB, Canada, 7/4/05.

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AU - Ravishankar, Dhanya

AU - Thirunarayan, Krishnaprasad

AU - Immaneni, Trivikram

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N2 - This paper develops a modular approach to improving effectiveness of searching documents for information by reusing and integrating mature software components such as Lucene APIs, WORDNET, LSA techniques, and domain-specific controlled vocabulary. To evaluate the practical benefits, the prototype was used to query MEDLINE database, and to locate domain-specific controlled vocabulary terms in Materials and Process Specifications. Its extensibility has been demonstrated by incorporating a spell-checker for the input query, and by structuring the retrieved output into hierarchical collections for quicker assimilation. It is also being used to experimentally explore the relationship between LSA and document clustering using 20-mini-newsgroups and Reuters data. In future, this prototype will be used as experimental testbed for expressive, context-aware and scalable searches.

AB - This paper develops a modular approach to improving effectiveness of searching documents for information by reusing and integrating mature software components such as Lucene APIs, WORDNET, LSA techniques, and domain-specific controlled vocabulary. To evaluate the practical benefits, the prototype was used to query MEDLINE database, and to locate domain-specific controlled vocabulary terms in Materials and Process Specifications. Its extensibility has been demonstrated by incorporating a spell-checker for the input query, and by structuring the retrieved output into hierarchical collections for quicker assimilation. It is also being used to experimentally explore the relationship between LSA and document clustering using 20-mini-newsgroups and Reuters data. In future, this prototype will be used as experimental testbed for expressive, context-aware and scalable searches.

KW - Document Clustering

KW - Domain-Specific Search

KW - Latent Semantic Indexing

KW - Modular Search Engine

KW - Search and Querying

KW - Tools

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ER -

A Modular Approach to Document Indexing and Semantic Search

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this