Main Article Content
In classic information retrieval models, documents are represented by a set of terms or keywords. A disadvantage of this representation is that the query results are limited only to the frequency of occurrence of terms. It does not consider the meaning of terms or semantic relationships that may exist between the documents. One alternative to solve this problem is using Semantic Web technologies in order to assign data a well-defined meaning. This article describes a proposal to extend the information retrieval process using Semantic Web technologies. Documents are semantically enriched with annotations that are obtained from a domain ontology. The extended semantic retrieval takes into account both keywords expressed in the user query as well as their meaning, which is represented through ontology. Extended semantic retrieval improves results in terms of precision and recall when compared with results obtained with classic information retrieval.