Scalable browsing for large collections: a case study
Paynter, G.W., Witten, I.H., Cunningham, S.J. & Buchanan, G. (2000). Scalable browsing for large collections: a case study. In Proceedings of the fifth ACM conference on Digital libraries, San Antonio, Texas, United States, June 02 - 07, 2000(pp. 215-223). New York: ACM
Permanent Research Commons link: https://hdl.handle.net/10289/1304
Phrase browsing techniques use phrases extracted automatically from a large information collection as a basis for browsing and accessing it. This paper describes a case study that uses an automatically constructed phrase hierarchy to facilitate browsing of an ordinary large Web site. Phrases are extracted from the full text using a novel combination of rudimentary syntactic processing and sequential grammar induction techniques. The interface is simple, robust and easy to use. To convey a feeling for the quality of the phrases that are generated automatically, a thesaurus used by the organization responsible for the Web site is studied and its degree of overlap with the phrases in the hierarchy is analyzed. Our ultimate goal is to amalgamate hierarchical phrase browsing and hierarchical thesaurus browsing: the latter provides an authoritative domain vocabulary and the former augments coverage in areas the thesaurus does not reach.
This is an author’s version of an article published in Proceedings of the fifth ACM conference on Digital libraries, San Antonio, Texas, United States, June 02 - 07, 2000.