Titlebook: Metadata and Semantic Research; 5th International Co Elena García-Barriocanal,Zeynel Cebeci,Ayd?n ?ztür Conference proceedings 2011 Springe

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書目名稱Metadata and Semantic Research影響因子(影響力)




書目名稱Metadata and Semantic Research影響因子(影響力)學(xué)科排名




書目名稱Metadata and Semantic Research網(wǎng)絡(luò)公開度




書目名稱Metadata and Semantic Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Metadata and Semantic Research被引頻次




書目名稱Metadata and Semantic Research被引頻次學(xué)科排名




書目名稱Metadata and Semantic Research年度引用




書目名稱Metadata and Semantic Research年度引用學(xué)科排名




書目名稱Metadata and Semantic Research讀者反饋




書目名稱Metadata and Semantic Research讀者反饋學(xué)科排名

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Smart Semantic Content for the Future Internetxceed whatever our current systems are ready to deal with. We propose to bridge two semantic models currently proposed for the Future Internet: Content Objects and Content Centric Networks. We show how the corresponding metadata can be used in Future Internet networks and we present strategies to extend the model with existing semantic models.

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A Model for Ripple Effects of Ontology Evolution Based on Assertions and Ontology Reverse Engineerinpend on it. In this paper we focus on an approach allowing to priori discover ontologies modification impacts and changes control by the detection of impact propagation paths based on a set of assertions and reverse engineering according to a lexical ontology model for controlling ripple effects.

ANTIC

Harmonizing Software Standards with a Semantic Modelizing bridge between standards of different knowledge domains and languages and by providing a single point of administration for standard domain concepts. This paper describes a case study of the creation of a semantic layer between software standards for water management systems in The Netherlands.

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斗志

Exploring the Development of Endorsed Learning Resources Profiles in the Connexions Repositoryfurther used in the process of automated quality assessment. The present paper explores the development of endorsed learning resources profiles based on intrinsic features of the resources, and initially evaluates the use of these profiles on the creation of automated models for quality evaluation.

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OSDBQ: Ontology Supported RDBMS Queryinganism “Ontology Supported RDBMS Querying (OSDBQ)” covering positive sides of both two storing and querying methods. This paper describes OSDBQ and presents a comparison between three querying methods. Results show that most of the time OSDBQ returns fairly better results than the others.

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