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Steven J. Shute

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Publication statistics

Pub. period:1987-1990
Pub. count:4
Number of co-authors:5

Co-authors

Number of publications with 3 favourite co-authors:

Philip J. Smith:4
Mark Chignell:2
Deb Galdes:1

Productive colleagues

Steven J. Shute's 3 most productive colleagues in number of publications:

Mark Chignell:41
Philip J. Smith:29
Deborah Galdes:2

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May 20

CTS 2013 - The 2013 Intl. Conf. on Collaboration Techn. and Systems

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 19

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Steven J. Shute

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Publications by Steven J. Shute (bibliography)

1990

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Shute, Steven J. and Smith, Philip J. (1990): Knowledge Acquisition Techniques: A Case Study in the Development of a Knowledge-Based System for Document Retrieval. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 320-324.

“A case study is presented describing and illustrating the use of a number of knowledge acquisition techniques for the development of a knowledge-based system. The system developed is a computerized intermediary to assist in searches of bibliographic databases. Particular emphasis is placed on a discussion of the use a conceptual model to guide in the design and analysis of an empirical study of the expertise used by human search intermediaries. The framework provided by this model made it possible to conduct a rigorous analysis of discourses that were recorded as human intermediaries assisted information seekers.”

1989

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Smith, Philip J., Shute, Steven J., Galdes, Deborah and Chignell, Mark (1989): Knowledge-Based Search Tactics for an Intelligent Intermediary System. In ACM Transactions on Information Systems, 7 (3) pp. 246-270.

“Research on the nature of knowledge-based systems for bibliographic information retrieval is summarized. Knowledge-based search tactics are then considered in terms of their role in the functioning of a semantically based search system for bibliographic information retrieval, EP-X. This system uses such tactics to actively assist users in defining or refining their topics of interest. It does so by applying these tactics to a knowledge base describing topics in a particular domain and to a database describing the contents of individual documents in terms of these topics. This paper, then, focuses on the two central concepts behind EP-X: semantically based search and knowledge-based search tactics.”

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Smith, Philip J., Shute, Steven J., Galdes, Deb and Chignell, Mark (1989): In Search of Knowledge-Based Search Tactics. In: Proceedings of the Twelfth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1989. pp. 3-10.

“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: 1. Semantically-based search; 2. Knowledge-based search tactics. It then describes the capabilities of a system based on such concepts.”

1987

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Krawczak, Deb, Smith, Philip J. and Shute, Steven J. (1987): EP-X: A Demonstration of Semantically-Based Search of Bibliographic Databases. In: Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1987. pp. 263-271.

“EP-X (Environmental Pollution eXpert) is a prototype knowledge-based system that assists users in conducting bibliographic searches of the environmental pollution literature. This system combines artificial intelligence and human factors engineering techniques, allowing us to redesign traditional bibliographic information retrieval interfaces. The result supports semantically-based search as opposed to the typical character-string matching approach. This paper discusses 1) a sample interaction with EP-X, 2) the knowledge representations necessary to support this semantically-based interaction, 3) preliminary results of empirical studies to evaluate the interface, and 4) recommendations for future directions.”

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