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- 715 title "DBpedia: A Nucleus for a Web of Open Data".
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- item-1 hasContent soeren-auer.
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- item-2 hasContent christian-bizer.
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- item-3 hasContent jens-lehmann.
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- item-4 hasContent georgi-kobilarov.
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- 729 creator sylvie-despres.
- 729 creator valentina-ceausu.
- 729 type InProceedings.
- 729 label "A semantic case-based reasoning framework for text categorization".
- 729 sameAs 729.
- 729 abstract "This paper presents a semantic case-based reasoning framework for text categorization. Text categorization is the task of classifying text documents under predened categories. Accidentology is our application eld and the goal of our framework is to classify documents describing real road accidents under predened road accident prototpypes, which also are described by text documents. Accidents are described by accident reports while accident prototypes are described by accident scenarios. Thus, text categorization is done by assigning each accident report to an accident scenario, which highlights particular mechanisms leading to accident. We propose a textual case based reasoning approach (TCBR), which allows us to integrate both textual and domain knowledge aspects inorder to carry out this categorization. CBR solves a new problem (target case) by identifying its similarity to one or several previously solved problems (source cases) stored in a case base and by adapting their known solutions. Cases of our framework are created from text. Most of TCBR applications create cases from text by using Information Retrieval techniques, which leads to knowledge-poor descriptions of cases. We show that using semantic resources (two ontology of accidentology) makes possible to overcome this diculty, and allows us to enrich cases by using formal knowledge. In this paper, we argue that semantic resources are likely to improve the quality of cases created from text, and, therefore, such resources can support the reasoning cycle. We illustrate this claim with our framework developed to classify documents in the accidentology domain.".
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- 729 title "A semantic case-based reasoning framework for text categorization".
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- item-1 hasContent valentina-ceausu.
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- item-2 hasContent sylvie-despres.
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- 743 creator daniel-elenius.
- 743 creator david-martin.
- 743 creator grit-denker.
- 743 creator mark-johnson.
- 743 creator reginald-ford.
- 743 type InProceedings.
- 743 label "Purpose-Aware Reasoning about Interoperability of Heterogeneous Training Systems".
- 743 sameAs 743.
- 743 abstract "We describe a novel approach by which software can assess the ability of a confederation of heterogeneous systems to interoperate to achieve a given purpose. The approach uses ontologies and knowledge bases (KBs) to capture the salient characteristics of systems, on the one hand, and of tasks for which these systems will be employed, on the other. Rules are used to represent the conditions under whichthe capabilities provided by systems can fulfill the capabilities needed to support the roles and interactions that make up each task. An Analyzer component employs these KBs and rules to determine if a given confederation will be adequate, to generate suitable confederations from a collection of available systems, to pre-diagnose potential interoperability problems that might arise, and to suggest system configuration options that will help to make interoperability possible. We have demonstrated the feasibility of this approach using a prototype Analyzer and KBs.".
- 743 hasAuthorList authorList.
- 743 hasTopic Application_software.
- 743 hasTopic Ontology_%28computer_science%29.
- 743 hasTopic Semantic_Web.
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- 743 title "Purpose-Aware Reasoning about Interoperability of Heterogeneous Training Systems".
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- item-1 hasContent daniel-elenius.
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- item-5 hasContent david-martin.
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- 757 creator alberto-salvati.
- 757 creator aldo-gangemi.
- 757 creator alfio-gliozzo.
- 757 creator elena-cardillo.