ARAÚJO JÚNIOR, J. G.; http://lattes.cnpq.br/1026450683366163; ARAÚJO JÚNIOR, José Gildo de.
Resumo:
Nowadays, one of the main challenges in the area of Information Retrieval (IR) is the development
of systems that correctly process the idea or concept in the queries emitted by
users. Conventional IR systems usually limit their functionality to indexing and retrieving
keywords, which creates incipient results when indexed terms are not mentioned in the query.
Queries such as: “The king of Brazilian music” and “Roberto Carlos”, even using a distinguished
group of words, may represent the same idea or concept; therefore, the system should
return the same set of answers. However, for IR systems that do not consider the semantic
aspect, both queries return different answering sets.
In this work, we proposed a new paradigm of semantic indexing of concepts. With this
new approach, concepts present in textual documents are semantic enriched automatically
using information which is presented in heterogeneous sources joined in a single environment
features of dictionaries, encyclopedias and common sense. In this way, the idea of
object contextualization is isolated from the several forms of object representations.
The proposed approach was compared with UBY project, a large scale lexic-semantic
resource which combines a wide range of information built by experts and collectively for
English and German languages. Both approaches were subjected to various collections of
documents and was proven the superiority of the proposed approach compared to UBY. To
make this conclusion we measured: the number of concepts found in the collections of documents
identified by either approach; connectivity, which was computed for each element
identified the number of connections established with other concepts; and quality of produced
semantic enrichment, which was computed if the semantic relations between concepts
established are consistent.