Search (7 results, page 1 of 1)

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Content

Also in: Journal of Web Semantics, special issue on Reasoning with Context in the Semantic Web, April 2012.

Imprint

Trento : University of Trento / Department of Information engineering and Computer Science

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Abstract

Finding similarity between concepts based on semantics has become a new trend in many applications (e.g., biomedical informatics, natural language processing). Measuring the Semantic Similarity (SS) with higher accuracy is a challenging task. In this context, the Information Content (IC)-based SS measure has gained popularity over the others. The notion of IC evolves from the science of information theory. Information theory has very high potential to characterize the semantics of concepts. Designing an IC-based SS framework comprises (i) an IC calculator, and (ii) an SS calculator. In this article, we propose a generic intrinsic IC-based SS calculator. We also introduce here a new structural aspect of an ontology called DCS (Disjoint Common Subsumers) that plays a significant role in deciding the similarity between two concepts. We evaluated our proposed similarity calculator with the existing intrinsic IC-based similarity calculators, as well as corpora-dependent similarity calculators using several benchmark data sets. The experimental results show that the proposed similarity calculator produces a high correlation with human evaluation over the existing state-of-the-art IC-based similarity calculators.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1023-1034

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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Abstract

So far, within the library and information science (LIS) community, knowledge organization (KO) has developed its own very successful solutions to document search, allowing for the classification, indexing and search of millions of books. However, current KO solutions are limited in expressivity as they only support queries by document properties, e.g., by title, author and subject. In parallel, within the artificial intelligence and semantic web communities, knowledge representation (KR) has developed very powerful end expressive techniques, which via the use of ontologies support queries by any entity property (e.g., the properties of the entities described in a document). However, KR has not scaled yet to the level of KO, mainly because of the lack of a precise and scalable entity specification methodology. In this paper we present DERA, a new methodology inspired by the faceted approach, as introduced in KO, that retains all the advantages of KR and compensates for the limitations of KO. DERA guarantees at the same time quality, extensibility, scalability and effectiveness in search.

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Footnote

Rez. in: Annals of Library and Information Studies 62(2015) no.4, S.301 (A.K. Das)

LCSH

Information organization
Information society

Subject

Information organization
Information society

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Abstract

We define knowledge as a system in a perpetually dynamic continuum. Knowledge grows as it is always fragmentary, though quantifying this growth is nearly impossible. Growth, inherent in the nature of knowledge, is natural, planned, and induced. S.R. Ranganathan elucidated the various modes of growth of subjects, viz. fission, lamination, loose assemblage, fusion, distillation, partial comprehensions, and subject bundles. The present study adds a few more modes of developments of subjects. We describe and fit these modes of growth in the framework of growth by specialization, interdisciplinary and multidisciplinary growths. We also examine emergence of online domains such as web directories and focus on possible modes of formation of such domains. The paper concludes that new modes may emerge in the future in consonance with the new research trends and ever-changing social needs.

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Abstract

Purpose The purpose of this paper is to demonstrate the construction of a core ontology for food. To construct the core ontology, the authors propose here an approach called, yet another methodology for ontology plus (YAMO+). The goal is to exhibit the construction of a core ontology for a domain, which can be further extended and converted into application ontologies. Design/methodology/approach To motivate the construction of the core ontology for food, the authors have first articulated a set of application scenarios. The idea is that the constructed core ontology can be used to build application-specific ontologies for those scenarios. As part of the developmental approach to core ontology, the authors have proposed a methodology called YAMO+. It is designed following the theory of analytico-synthetic classification. YAMO+ is generic in nature and can be applied to build core ontologies for any domain. Findings Construction of a core ontology needs a thorough understanding of the domain and domain requirements. There are various challenges involved in constructing a core ontology as discussed in this paper. The proposed approach has proven to be sturdy enough to face the challenges that the construction of a core ontology poses. It is observed that core ontology is amenable to conversion to an application ontology. Practical implications The constructed core ontology for domain food can be readily used for developing application ontologies related to food. The proposed methodology YAMO+ can be applied to build core ontologies for any domain. Originality/value As per the knowledge, the proposed approach is the first attempt based on the study of the state of the art literature, in terms of, a formal approach to the design of a core ontology. Also, the constructed core ontology for food is the first one as there is no such ontology available on the web for domain food.

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Source

Annals of library and information studies. 62(2015) no.4, S.255-264