104,809 research outputs found
Web of data and web of entities: identity and reference in interlinked data in the semantic web
No full textAchieving scalability and expressivity in an RDF knowledge base by implementing contexts
No full textIn this paper we are presenting the context architecture implemented on top of the RDFCore system. With this extended Knowledge Representation framework we are trying to overcome some of the limitations of RDF and OWL as they are today, without losing sight of performance and scalability issues. We are illustrating motivations - partly based on requirements in the VIKEF project - as well as theoretical background, implementation details and test-results of our latest works
A context-based architecture for RDF knowledge bases: Approach, implementation and preliminary results
No full textIn this paper we present a context-based architecture and implementation for supporting the construction and management of contextualized RDF knowledge bases. The goal of this work is to take explicitly into account any possible contextual dependency of a collection of RDF models, without losing sight of performance and scalability issues. We are illustrating motivations, as well as theoretical background, implementation details and test-results of our latest works. © Springer-Verlag Berlin Heidelberg 2007
Proceedings of the 4th Italian Semantic Web Workshop, SWAP 2007, Dipartimento di Informatica - Universita' degli Studi di Bari - Italy, 18-20 December, 2007
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Semantic Web Applications and Perspectives. Proceedings of SWAP 2007, the 4th Italian Semantic Web Workshop
No full textProceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP2008)
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Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Automatic identity recognition in the Semantic Web
No full textThe OKKAM initiative1 has recently highlighted the need of moving from the traditional web towards a \web of entities", where real-world objects descriptions could be retrieved, univocally identified, and shared over the web. In this paper, we propose our vision of the entity recognition problem and, in particular, we propose methods and techniques to capture the \identity" of a real entity in the Semantic Web.
We claim that automatic techniques are needed to compare different RDF descriptions of a domain with the goal of automatically detect heterogeneous descriptions of the same real-world objects. Problems and techniques to solve them are discussed together with some experimental results on a real case study on web data
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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