Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
This paper outlines the findings-to-date of a project to assist in the efforts being made to establish a TREC-like evaluation paradigm within the Music Information Retrieval (MIR)...
We describe a novel approach to obtaining type-accurate information for garbage collection in a hardware and language independent way. Our approach uses a run-time analysis to pro...
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
In this article we propose the concept of relevance criteria profiles, which provide a global view of user behaviour in judging the relevance of retrieved information. We further p...