Titlebook: Knowledge Engineering and Knowledge Management; 19th International C Krzysztof Janowicz,Stefan Schlobach,Eero Hyv?nen Conference proceeding

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




書目名稱Knowledge Engineering and Knowledge Management影響因子(影響力)學(xué)科排名




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

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aLDEAS: A Language to Define Epiphytic Assistance Systems,nd a generic assistance engine able to execute the specified assistance for the target-application end users, without a need to modify this application. We performed several experimentations both with assistance designers and with target-applications end users.

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Conference proceedings 2014he papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics.

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Measuring Similarity in Ontologies: A New Family of Measures, evaluate the new measures. First, we compare the new measures along with some existing measures against a gold-standard. Second, we examine the practicality of using the new measures over an independently motivated corpus of ontologies.

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Personalised Access to Linked Data,l resource semantic similarity metric, which takes into account the . and . of the resources. We validate and evaluate the method on a real-world dataset from the Web services domain. The results show that our method outperforms the other baseline methods in terms of accuracy, serendipity and diversity.

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