HIRMA: Hypertextual information retrieval system managed by ARIOSTO

作者:

Highlights:

摘要

HIRMA results in an integrated environment to query any full-text document base system by natural language sentences, obtaining a document set relevant to the query. Moreover it supports hypertextual navigation into the document base. The system uses content based document representation and retrieval methods.In this paper the representation framework as well as the retrieval and navigation algorithms used by HIRMA are described. Coverage and portability throughout application domains are supported by the lexical acquisition system ARIOSTO that provides the suitable lexical knowledge and processing methods to extract from raw text the semantic representation of documents content.

论文关键词:Information retrieval,Hypertext,Semantic indexing,Full-text document base

论文评审过程:Received 18 November 1994, Revised 10 February 1995, Accepted 31 July 1995, Available online 28 December 1999.

论文官网地址:https://doi.org/10.1016/0169-023X(95)00025-N