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Abstract

This paper describes to construct faceted ontologies for domain modeling. Building upon the faceted theory of S.R. Ranganathan (1967), the paper intends to address the faceted classification approach applied to build domain ontologies. As classificatory ontologies are employed to represent the relationships of entities and objects on the web, the faceted approach helps to analyze domain representation in an effective way for modeling. Based on this perspective, an ontology of the music domain has been analyzed that would serve as a case study.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

This paper proposes an analysis of faceted theory and of various knowledge organization approaches. Building upon the faceted theory of S.R. Ranganathan (1967), the paper intends to address the faceted classification approach applied to build domain ontologies. Based on this perspective, an ontology of a music domain has been analyzed that would serve as a case study. As classificatory ontologies are employed to represent the relationships of entities and objects on the web, the faceted approach is deemed as an effective means to help organize web content. While different knowledge organization systems are being employed to address the cluttered Web in different contexts and with various degrees of effectiveness, faceted ontologies have an enormous potential for addressing this issue by performing.

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Abstract

The present work deals with building a computational model for maintenance of a classification schedule. It has been hypothesized that the analytico-synthetic approach is quite amenable to the tools and techniques of Artificial Intelligence. To achieve the objective of building an automatic system for management of classification schemes, 'Vyasa', has been developed using Al tools and techniques. 1. Introduction The present work is a sequel to the earlier work, where the application of Artificial Intelligence tools and techniques were used in the verbal plane i.e. subject indexing (Aptagiri, et al., 1995; Prasad, 1993) and later extended to notational plane where the system could assign automatically the class numbers to given expressive titles (Panigrahi, 1996). The present paper is based an the work carried out to update the 7th edition of Colon Classification (Madalli, 2000).

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Abstract

Knowledge space is diverse and thus extremely complex. With increased means for online publishing and communication world communities are actively contributing content. This augments the need to find and access resources in different contexts and for different purposes. Owing to different socio-cultural backgrounds, purposes and applications, knowledge generated by people is marked by diversity. Hence, knowledge representation for building diversity-aware tools presents interesting research challenges. In this paper, we provide an analytico-synthetic approach for dealing with topical diversity following a faceted subject indexing method. Illustrations are used to demonstrate facet analysis and synthesis for use in annotations for Media Content Analysis within the European Commission (EC) funded 'Living Knowledge' project.