In search of knowledge-based search tactics

Authors:
P. J. Smith;S. J. Shute;D. Galdes
Affiliations:
Department of Industrial and Systems Engineering, 210 Baker, 1971 Neil Avenue, The Ohio State University, Columbus, Ohio;Department of Industrial and Systems Engineering, 210 Baker, 1971 Neil Avenue, The Ohio State University, Columbus, Ohio;Department of Industrial and Systems Engineering, 210 Baker, 1971 Neil Avenue, The Ohio State University, Columbus, Ohio
Venue:
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
1989

Citing 5
Cited 3

CANSEARCH: An expert systems approach to document retrieval

Information Processing and Management: an International Journal - Expert systems and library information science
User modeling in intelligent information retrieval

Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
EP-X: a demonstration of semantically based search of bibliographic databases

SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Bibliographic information retrieval systems: increasing cognitive compatibility

Information Services and Use
Indexing and retrieval strategies for natural language fact retrieval

ACM Transactions on Database Systems (TODS)

Evaluation of an expert system for searching in full text

SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
A Survey on Content-Based Retrieval for Multimedia Databases

IEEE Transactions on Knowledge and Data Engineering
Toward automatic facet analysis and need negotiation: Lessons from mediated search

ACM Transactions on Information Systems (TOIS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Knowledge-based search tactics are discussed in terms of their role in the functioning of a semantically-based search system for bibliographic information retrieval. This prototype system, EP-X, actively assists users in defining or refining their topics of interest. It does so by applying search tactics to a knowledge-base describing topics in a particular domain and a database describing the contents of individual documents.This paper reviews the empirical studies that lead to the two central concepts implemented in EP-X:Semantically-based search;Knowledge-based search tactics.