Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
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1Adhikari, 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.
In: Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1023-1034.
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.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24021.
Themenfeld: Semantisches Umfeld in Indexierung u. Retrieval
2Dutta, A.: ¬A journey from Cutter to Austin : critical analysis of their contribution in subject indexing.
In: International journal of library and information studies. 7(2017) no.4, S.338-350.
Abstract: This writeup presents the fundamentals of subject indexing in terms of its development, scope, coverage, role in subject indexing techniques and the important elements to design a well-structured and effective subject indexing process, requirements and the infrastructure. From the time of RDC to PRECIS, the developers has been envisaged the problems to expand the flexibility and versatility of indexing technique. Whenever one indexing process is failed to achieve the maximum efficiency another is developed on the basis of failure. It concludes that all the developments of subject indexing processes during that era are leads to the innovation of Artificial Intelligence technique (AI), i.e. Natural Language Processing (NLP) by implementation of Information and Communication Technology (ICT) in present time.
Themenfeld: Geschichte der Sacherschließung ; Verbale Doksprachen für präkombinierte Einträge