Document identification by shallow semantic analysis

This source preferred by Hamid Bouchachia

This data was imported from DBLP:

Authors: Bouchachia, A., Mittermeir, R.T. and Pozewaunig, H.

Editors: Bouzeghoub, M., Kedad, Z. and Métais, E.

https://doi.org/10.1007/3-540-45399-7

Journal: NLDB

Volume: 1959

Pages: 190-202

Publisher: Springer

This data was imported from Scopus:

Authors: Bouchachia, A., Mittermeir, R.T. and Pozewaunig, H.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 1959

Pages: 190-202

eISSN: 1611-3349

ISSN: 0302-9743

© Springer-Verlag Berlin Heidelberg 2001. Identifying a matching component is a recurring problem in software engineering, specifically in software reuse. Properly generalized, it can be seen as an information retrieval problem. In the context of defining the architecture of a comprehensive software archive, we are designing a two-level retrieval structure. In this paper we report on the first level, a quick search facility based on analyzing texts written in natural language. Based on textual and structural properties of the documents contained in the repository, the universe is reduced to a moderately sized set of candidates to be further analyzed by more focussed mechanisms.

The data on this page was last updated at 04:49 on May 22, 2018.