Waypoint: An integrated search and retrieval system for engineering documents

C McMahon, A Lowe, S Culley, M Corderoy, R Crossland, T Shah, D Stewart

Research output: Contribution to journalArticlepeer-review

55 Citations (SciVal)

Abstract

This paper describes the architecture and technical capabilities of an integrated engineering information search and retrieval system. The system is designed with a flexible architecture that allows it to be incorporated in other software systems and also to itself incorporate a variety of different software components. It provides uniform access to multiple heterogeneous information collections and an integrated access mechanism allowing both keyword searching and browsing of classification schemes interchangeably in a single information access session. Browsing using the system is based on a faceted classification approach in which continual feedback is given to the user on how the results of a search task may be refined, by updating browsable classifications to reflect previous user selections. The classification scheme is populated using an automatic constraint-based classifier: The article describes the rationale behind the choice of the system architecture and the incorporated technologies, and also describes three examples developed using the system.
Original languageEnglish
Pages (from-to)329-338
Number of pages10
JournalJournal of Computing and Information Science in Engineering
Volume4
Issue number4
DOIs
Publication statusPublished - 2004

Bibliographical note

ID number: ISI:000226646400006

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