Titlebook: Knowledge Engineering and Knowledge Management; 21st International C Catherine Faron Zucker,Chiara Ghidini,Yannick Tous Conference proceedi

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書目名稱Knowledge Engineering and Knowledge Management影響因子(影響力)




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書目名稱Knowledge Engineering and Knowledge Management網(wǎng)絡(luò)公開度




書目名稱Knowledge Engineering and Knowledge Management網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Knowledge Engineering and Knowledge Management被引頻次




書目名稱Knowledge Engineering and Knowledge Management被引頻次學(xué)科排名




書目名稱Knowledge Engineering and Knowledge Management年度引用




書目名稱Knowledge Engineering and Knowledge Management年度引用學(xué)科排名




書目名稱Knowledge Engineering and Knowledge Management讀者反饋




書目名稱Knowledge Engineering and Knowledge Management讀者反饋學(xué)科排名

翻動(dòng)

Fuzzy Semantic Labeling of Semi-structured Numerical DatasetsV files or HTML tables on the Web). We propose an approach to suggest . for the numerical columns of a collection of input files available as CSVs. Our approach is based on the application of the . clustering technique to numerical data in the input files, using existing SPARQL endpoints to generate

Cumulus

AWRY

Breach

essential-fats

A Framework for Explaining Query Answers in database storing facts about the domain, and a mapping between the data and the ontology. In this paper, we consider ontologies expressed in the popular . family of Description Logic, and we address the problem of computing explanations for answers to queries in an OBDA system, where queries are eit

Congestion

DLFoil: Class Expression Learning Revisitedtion of class expressions from groups of individual resources labeled by a domain expert. Stating the target task as a search problem, a .-like algorithm was devised based on the employment of refinement operators to traverse the version-space of candidate definitions for the target class. The algor

防水

Requirements Behaviour Analysis for Ontology Testing, there are several approaches which, integrated in the software development process, deal with software testing, such as unit testing or behaviour-driven development. However, in the ontology engineering field there is a lack of clearly defined testing processes that can be integrated into the onto

HIKE

progestin

Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasetsches to this entity resolution problem. However, much less work has been done on how to . the quality of such entity links once they have been generated. Evaluation methods for link quality are typically limited to either comparison with a . (which is often not available), . (which is cumbersome and