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Abstract

Artificial intelligence applications and expert systems are already in use in some libraries and librarians and information professionals need to understand the fundamentals of the system design. Suggests that an appreciation of the limitations of knowledge acquisition systems will help librarians to use them for tasks which they are capable of performing such as decision support, rather that for decision making as such

Date

29. 1.1996 18:23:13

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Abstract

Several instruments of knowledge organization will reflect different possibilities for information retrieval. In this context, ontologies have a different potential because they allow knowledge discovery, which can be used to retrieve information in a more flexible way. However, this potential can be affected by the theoretical principles adopted in ontology building. The aim of this paper is to discuss, in an introductory way, how a (not exhaustive) set of theoretical principles can influence an aspect of ontologies: their use to obtain inferences. In this context, the role of Ingetraut Dahlberg's Theory of Concept is discussed. The methodology is exploratory, qualitative, and from the technical point of view it uses bibliographic research supported by the content analysis method. It also presents a small example of application as a proof of concept. As results, a discussion about the influence of conceptual definition on subsumption inferences is presented, theoretical contributions are suggested that should be used to guide the formation of hierarchical structures on which such inferences are supported, and examples are provided of how the absence of such contributions can lead to erroneous inferences

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Abstract

In the context of Knowledge Organization (KO) the ontological focus is sometimes overlooked in studies related to the nature of the concept. This study presents an analysis with this purpose, questioning possible modes of existence of concepts (such as mental representations, cognitive abilities or abstract objects), framed in four different readings: a linguistic one, the psychological one, the epistemological one, and the ontological one; and focuses on the two first ones. The suitability of using the concept as an elementary unit of Knowledge Organization Systems (KOS) is analyzed according to the different perspectives. From a mental entity, passing to another one that exists in a non-mental realm, although also non-physical, moving on to another one with an objective linguistic existence.

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Abstract

Objetivo: Este estudo tem como objetivo compreender como o modelo de dados Simple Knowledge Organization System e seus modelos de extensão tem sido utilizado para promover a interoperabilidade com outros vocabulários e refinar as relações semânticas em tesauros na web. Metodologia: Utiliza a pesquisa documental nos guias de referência dos modelos de dados utilizados para representar os tesauros na web. Resultados: os modelos de dados têm sido utilizados para representar os termos e suas variações linguísticas, os relacionamentos entre grupos e subgrupos de conceitos, numa perspectiva intra-vocabulários, e os relacionamentos entre conceitos de vocabulários distintos, numa perspectiva inter-vocabulários. Conclusões: O uso do Simple Knowledge Organization System, e dos seus modelos de extensão contribuem para uma melhor estruturação dos conceitos em tesauros. Os modelos de extensão são apropriados para a representação dos relacionamentos de equivalência compostos, ou para a estruturação de grupos e subgrupos de conceitos em tesauros.

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Abstract

Some of the fundamental activities of the software development process are related to the discipline of Requirements Engineering, whose objective is the discovery, analysis, documentation and verification of the requirements that will be part of the system. Requirements are the conditions or capabilities that software must have or perform to meet the users needs. The present study is being developed to propose a model of cooperation between Information Science and Requirements Engineering. Aims to present the analysis results on the possibilities of using the knowledge organization systems: taxonomies, thesauri and ontologies during the activities of Requirements Engineering: design, survey, elaboration, negotiation, specification, validation and requirements management. From the results obtained it was possible to identify in which stage of the Requirements Engineering process, each type of knowledge organization system could be used. We expect that this study put in evidence the need for new researchs and proposals to strengt the exchange between Information Science, as a science that has information as object of study, and the Requirements Engineering which has in the information the raw material to identify the informational needs of software users.

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Date

29. 1.1996 18:23:13

Source

Ciencia da informacao. 29(2000) no.3, S.5-13

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Date

29. 1.1996 18:23:13