Probabilistic hyperspace analogue to language

Leif Azzopardi, Mark Girolami, Malcolm Crowe

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

14 Citations (Scopus)

Abstract

Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor's three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual space using Hyperspace Analogue to Language (HAL[3] to generate higher order concepts which are later used for ad-hoc retrieval. In this poster, we propose an alternative implementation of the conceptual space by using a probabilistic HAL space (pHAL). To evaluate whether converting to such an implementation is beneficial we have performed an initial investigation comparing the concept combination of HAL against pHAL for the task of query expansion. Our experiments indicate that pHAL outperforms the original HAL method and that better query term selection methods can improve performance on both HAL and pHAL.
Original languageEnglish
Title of host publicationSIGIR '05 Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY, USA
Pages575-576
Number of pages2
DOIs
Publication statusPublished - 15 Aug 2005
Externally publishedYes

Publication series

NameSIGIR '05
PublisherACM

Keywords

  • information systems
  • information retrieval
  • retrieval models
  • retrieval ranking

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