Web personalization using Extended Boolean Operations with Latent Semanti Indexing

Getting Better Results With Latent Semantic Indexing

The paper presents an overview of some important factors influencing the quality of the results obtained when using Latent Semantic Indexing. The factors are separated in 5 major groups and analyzed both separately and as whole. A new class of extended Boolean operations such as OR, AND and NOT (ANDNOT) and their combinations is proposed and evaluated on a corpus of religious

Indexing Audio Do uments by using Latent Semanti Analysis and SOM

Semantic Indexing Using WordNet Senses

We describe in this paper a boolean Information l~.etrieval system that adds word semantics to the classic word based indexing. Two of the main tasks of our system, namely the indexing and retrieval components, are using a combined wordbased and sense-based approach. The key to our system is a methodology for building semantic representations of open text, at word and collocation level. This ne...

Semanti Indexing using WordNet Senses

Supporting the Negation Operator in the Hermes Graphical Query Language for Document Ranking

Hermes is a Web-based framework designed to build personalized news services using Semantic Web technologies. Users of Hermes query news items using the Hermes Graphical Query Language (HGQL), which makes it possible to create complex queries without any knowledge of specific query languages. In this paper, we propose a document ranking model that can be used with HGQL and that supports the use...