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  • × author_ss:"Rubinow, S."
  • × theme_ss:"Semantic Web"
  1. Pattuelli, M.C.; Rubinow, S.: Charting DBpedia : towards a cartography of a major linked dataset (2012) 0.00 
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    Abstract
    This paper provides an analysis of the knowledge structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Data landscape. The study reveals an evolving knowledge representation environment where different descriptive and classification approaches are employed concurrently. This analysis opens up a new area of research to which the knowledge organization community can make a significant contribution.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
    Type
    a
  2. Pattuelli, C.; Rubinow, S.: ¬The knowledge organization of DBpedia : a case study (2013) 0.00 
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    Abstract
    Purpose - This paper investigates the semantic structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Open Data (LOD) landscape. The analysis attempts to shed light on this new type of knowledge organization tool. Design/methodology/approach - The research followed a case study methodology to analyze DBpedia using the domain of jazz as the application scenario. Findings - The study reveals an evolving knowledge organization tool where different descriptive and classification approaches are employed concurrently. The semantic constructs employed in the DBpedia knowledge base vary significantly in terms of their degree of formalization, stability, cohesiveness and consistency. As such, they challenge the tolerance threshold for data quality and the traditional notion of authority control. Research limitations/implications - The analysis is conducted on a limited portion of a large knowledge base. Initial findings provide a basis for further research and study. Practical implications - Revealing the knowledge organization underlying DBpedia increases the understanding of its power, its limitations and its implications for the new semantic context provided by LOD. Having an understanding of the range of entities and properties available enables LOD users to formulate queries with higher precision. Originality/value - This study is the first conducted from the perspective of the knowledge organization community.
    Type
    a

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