ESSAY ABOUT APPLIED ONTOLOGY IN INFORMATION RETRIEVAL FOR INFORMATION SCIENCE
DOI:
https://doi.org/10.9771/rpa.v15i3.47471Keywords:
Applied ontology, Knowledge Representation, Information Retrieval, Information ScienceAbstract
Despite the lack of consensus on central issues in Information Science, at least three of them deserve to be highlighted: information retrieval, the relevance of retrieved information and the interaction between humans and technology during these processes. The information retrieval process is validated according to the suitability of the replies obtained regarding the user’s needs, whether performed by manual or automatic methods. One can not detach this context from the way in which the knowledge domain is represented and organized: the more trustworthy the representation is in relation to reality, the greater the capacity for consistent results. In contrast to which purely technological approaches of statistical orientation recommend, we advocate here that the intellectual work of classifying and organizing is still a fundamental aspect for Information Retrieval. In this essay, which is informative and admittedly incomplete, we emphasize inherent aspects of ontologies that permeate central issues within Information Science and that underly new research possibilities. We suggest that the creation of an Applied Ontology discipline within the Information Science curriculum can bring benefits and generate opportunities for researchers, students, and professionals as well.
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