A Semantic Similarity Measure for Objects Described with Multi-Valued Categorical Attributes
Antonio Moreno, Aı̈da Valls, Mata Ferran, Mart iacute n-B eacute jar Sergio, M uuml ller Marcel Lucas, Vicient Carlos · Frontiers in artificial intelligence and applications · 2013
The comparison of objects from a semantic perspective is a key point to improve the performance of current data mining tools and knowledge-based systems. Several semantic similarity measures defined in the field of Computational Linguistics are now employed in knowledge-based processes. Those measures are able to compare pairs of terms by leveraging the knowledge of an external source, like an ontology or a corpus. However, in some cases, the objects to be compared are not associated to a single term but they are described with a list of terms. In this paperThis paper has been selected by the CCIA'2013 scientific committee for an extended version in a special issue on AICommunications journal.