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Titlebook: Business Information Systems; 11th International C Witold Abramowicz,Dieter Fensel Conference proceedings 2008 Springer-Verlag Berlin Heide

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發(fā)表于 2025-3-21 19:23:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Information Systems
期刊簡稱11th International C
影響因子2023Witold Abramowicz,Dieter Fensel
視頻videohttp://file.papertrans.cn/193/192177/192177.mp4
學(xué)科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Information Systems; 11th International C Witold Abramowicz,Dieter Fensel Conference proceedings 2008 Springer-Verlag Berlin Heide
影響因子.This book contains the refereed proceedings of the 11th International Conference on Business Information Systems, BIS 2008, held in Innsbruck, Austria, in May 2008...The 41 revised full papers were carefully reviewed and selected for inclusion in the book. The contributions cover research trends as well as current achievements and cutting edge developments in the area of modern business information systems. They are grouped in sections on business process management, service discovery and composition, ontologies, information retrieval, enterprise resource planning, interoperability, mobility and contexts, wikis and folksonomies, and rules and semantic queries..
Pindex Conference proceedings 2008
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書目名稱Business Information Systems影響因子(影響力)




書目名稱Business Information Systems影響因子(影響力)學(xué)科排名




書目名稱Business Information Systems網(wǎng)絡(luò)公開度




書目名稱Business Information Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Business Information Systems被引頻次




書目名稱Business Information Systems被引頻次學(xué)科排名




書目名稱Business Information Systems年度引用




書目名稱Business Information Systems年度引用學(xué)科排名




書目名稱Business Information Systems讀者反饋




書目名稱Business Information Systems讀者反饋學(xué)科排名




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Mechanisms of Drug Interactionsputers in a query answering or reusability process. This paper details the features and architecture of a wiki-farm system that combines structure and semantics in order to collaboratively produce ontology-based data and immediately reuse it in wiki pages to enrich browsing and querying capabilities
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Handbook of Experimental Pharmacology our ability to agree. While we are interested in methods and technologies that support shared agreement, we somehow tend to forget the disagreement; indeed, it is also a part of reality..In the Semantic Web field, most of research activities investigate ontology agreement and its formalization, rat
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Age and Genetic Factors in Drug Interactionscesses. The problem with most current such models, however, is a lack of formal semantics which prevents automated data integration across organi-zational boundaries. In this paper, we take the perspective of supply chain management and employ a well-grounded model which provides core concepts of in
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Francesca Arruga,Silvia Deaglioain ontologies that are used in fields like AI and computer knowledge-aware systems in general; on the other hand there are very specific models that only come in use in very specific areas like software engineering or business analysis. In the domain of information extraction, so-called extraction
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