EP-X: a demonstration of semantically based search of bibliographic databases

Krawczak, D.; Smith, Philip J.; Shute, Steven J.

doi:10.1145/42005.42035

Cited by 13 publications

(2 citation statements)

References 4 publications

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“…EP-X (Krawczak, Smith, & Shute, 1987;Smith, Shute, Galdes, & Chigneii, 1989), Environmental Poiiution expert, is a prototype knowledge-based system that assists users in conducting bibliographic searches of the environmental pollution literature. The main emphasis of this system is the use of domain knowledge to provide expert assistance with query formulation and reformulation.…”

Section: Ep-xmentioning

confidence: 99%

Intelligent information retrieval: An introduction

Gauch

1992

J. Am. Soc. Inf. Sci.

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There is nothing new about intelligent information retrieval-it has been around for centuries. When a professor asks a search intermediary to conduct a background search for a literature survey, or a stockbroker asks an assistant to alert him of any takeover rumors coming "over the wire," or an executive asks his secretary to get him everything in the files about Project XXX, they are ail requesting intelligent information retrieval. The difference between these scenarios and those presented in this article is that now systems are being developed to allow users to place their requests with a computer rather than a human assistant.Technological advances have led to new problems and new solutions. The number, size, and contents of online databases has grown. Finding relevant information is truly a "needle in a haystack" proposition. In one study of inexperienced searchers, one-quarter of the subjects were unable to pass a benchmark test of minimum searching skill (Borgman, 1986). Even experienced searchers could improve their search results (Fenichel, 1981).The systems surveyed here use different approaches to helping end users perform their own searches. They assist during the query formulation stage (in which the user expresses his information need in a precise manner) and/or the query reformulation stage (in which the query is iteratively modified based on search results). They all provide user interfaces which shield the user *Current address:

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Section: Ep-xmentioning

confidence: 99%

Intelligent information retrieval: An introduction

Gauch

1992

J. Am. Soc. Inf. Sci.

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“…The innovations incorporated in AMCIRS include the following: -Integration of MM and knowledge-based systems is provided by a coustruction called cognitive network (CN). Some knowledge structure were used in IRS and other systems [9], [16]. The basic objective of our CN is to simulate the end user behavior in the process of information retrieval.…”

Section: Introductionmentioning

confidence: 99%

A multimedia cognitive-based information retrieval system

Davčev¹,

Cakmakov²,

Cabukovski³

1991

Proceedings of the 19th Annual Conference on Computer Science - CSC '91

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ABSTRACF -The next generation of information retrieval technology will essentially be represented by distributed multimedia systems. The main objective of these systems is to integrate multiple databases, to provide efficient multimedia information retrieval and transparent services for the end user.In this paper, a model and some operations in our cognitivebased multimedia environment will be given. We propose a new methodology for multimedia objects manipulation. Some elements of a general object-oriented multimedia data model called AMCIRS has been described in [11]. In this paper, we intend to extend our AMCIRS model and to address some basic issues such as; search and query based access, the integration of multimedia and knowledge-based systems, support for dynamic user cognition correction.

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An expert system for automatic query reformation

Gauch

Smith

1993

J. Am. Soc. Inf. Sci.

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Unfamiliaritywith search tactics creates difficulties for many users of online retrieval systems. User observations indicate that even experienced searchers use vocabulary incorrectly and rarely reformulate their queries. To address these problems, an expert system for online search assistance was developed. This prototype automatically reformulates queries to improve the search results, and ranks the retrieved passages to speed the identification of relevant information. Users' search performance using the expert system was compared with their search performance on their own, and their search performance using an online thesaurus. The following conclusions were reached: (1) The expert system significantly reduced the number of queries necessary to find relevant passages compared with the user searching alone or with the thesaurus. (2) The expert system produced marginally significant improvements in precision compared with the user searching on their own. There was no significant difference in the recall achieved by the three system configurations. (3) Overall, the expert system ranked relevant passages above irrelevant passages. 0 1993 John Wiley & Sons, Inc.

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EP-X: a demonstration of semantically based search of bibliographic databases

Cited by 13 publications

References 4 publications

Intelligent information retrieval: An introduction

Intelligent information retrieval: An introduction

A multimedia cognitive-based information retrieval system

An expert system for automatic query reformation

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