-
Dutta, B.: Organizing knowledge : then and now (2015)
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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
-
Varadarajan, U.; Dutta, B.: Models for narrative information : a study (2022)
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- Abstract
- From the literature study, it was observed that there are significantly fewer studies that review ontology-based narrative models. This motivates the current work. A parametric approach was adopted to report the existing ontology-driven models for narrative information. The work considers the narrative and ontology components as parameters. This study hopes to encompass the relevant literature and ontology models together. The work adopts a systematic literature review methodology for an extensive literature selection. The models were selected from the literature using a stratified random sampling technique. The findings illustrate an overview of the narrative models across domains. The study identifies the differences and similarities of knowledge representation in ontology-based narrative information models. This paper will explore the basic concepts and top-level concepts in the models. Besides, this study provides a study of the narrative theories in the context of ongoing research. It also identifies the state-of-the-art literature for ontology-based narrative information.
- Content
- Vgl.: https://www.nomos-elibrary.de/10.5771/0943-7444-2022-3/ko-knowledge-organization-jahrgang-49-2022-heft-3.
- Source
- Knowledge organization. 49(2022) no.3, S.172 - 191
-
Giunchiglia, F.; Dutta, B.; Maltese, V.: From knowledge organization to knowledge representation (2014)
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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.
- Content
- Papers from the ISKO-UK Biennial Conference, "Knowledge Organization: Pushing the Boundaries," United Kingdom, 8-9 July, 2013, London.
- Source
- Knowledge organization. 41(2014) no.1, S.44-56
-
Bardhan, S.; Dutta, B.: ONCO: an ontology model for MOOC platforms (2022)
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- Content
- Vgl.: https://www.nomos-elibrary.de/10.5771/0943-7444-2022-8/ko-knowledge-organization-jahrgang-49-2022-heft-8.
- Source
- Knowledge organization. 49(2022) no.8, S.563 - 576
-
Satija, M.P.; Madalli, D.P.; Dutta, B.: Modes of growth of subjects (2014)
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- Source
- Knowledge organization. 41(2014) no.3, S.195-204
-
Adhikari, A.; Dutta, B.; Dutta, A.; Mondal, D.; Singh, S.: ¬An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology (2018)
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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
-
Sinha, P.K.; Dutta, B.: ¬A systematic analysis of flood ontologies : a parametric approach (2020)
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- Source
- Knowledge organization. 47(2020) no.2, S.138-159
-
Giunchiglia, F.; Maltese, V.; Dutta, B.: Domains and context : first steps towards managing diversity in knowledge (2011)
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- Imprint
- Trento : University of Trento / Department of Information engineering and Computer Science
-
Dutta, B.: Ranganathan's elucidation of subject in the light of 'Infinity (8)' (2015)
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- Source
- Annals of library and information studies. 62(2015) no.4, S.255-264
