INFORMATION RETRIEVAL IN DIGITAL REPOSITORIES: AN ANALYSIS OF THE USE OF ONTOLOGIES TO EXPAND DOCUMENT REPRESENTATION IN THE REFERENTIAL DATABASE OF INFORMATION SCIENCE JOURNAL PAPERS (Brapci)
BRAPCI. Ontology. Digital Repositories. Information Retrieval. Information Representation.
It presents the Reference Database of Journal Articles in Information Science (Brapci) as a research object, with the objective of expanding the number of attributes that each document present in Brapci represents, corroborating with an improvement in the representation process and possibly with determined in search results performed by users. Specifically, they intend: a) develop an identification model, based on theories about (data description, collection, document ontologies, labels, data, semantic web, pragmatic web and contextual elements - intratextual or extratextual); b) apply the model in Brapci to identify existing ontological tags; c) establish a survey of ontologies that can contribute to expanding Brapci's representation; d) apply the model in the ontologies chosen by the research to identify which of them can be ontological tags that favor the expansion of the representation of Brapci documents; e) identify, after the actions of item (c) the ontologies that have an adaptability to the Dublin Core Metadata Initiative standard present at Brapci. The theoretical framework of the research adopts theories arising from the Organization and Representation of Information and Knowledge, Information Retrieval in Digital Repositories, Semantic Web and Pragmatic Web and Ontologies. The methodological approach adopts an exploratory approach with a comprehensive approach, using the method of bibliographic analysis. The ontological tag identification model for document representation (MIEORD) was developed to perform as proposed by the research. The results show that the results of the execution of all the steps, two ontologies have attributes that can meet the search for complementary resources to those used in Brapci and enrich the search process by including networks of references and new discoveries by relating all the agents involved in the document construction. Finally, it is considered that the proposed objectives were met, as it is possible to use ontologies to expand the number of attributes that represent each document in Brapci.