Titlebook: Artificial Intelligence for Knowledge Management; 4th IFIP WG 12.6 Int Eunika Mercier-Laurent,Danielle Boulanger Conference proceedings 201

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Dynamic Ontology Supporting Local Government, of administration restructuring. In this paper we propose a dynamic-oriented knowledge model, designed to distribute and manage urban knowledge as a representative of local self-government. Ontology including mentioned knowledge management supporting is prepared using sophisticated Ontorion Fluent Editor.

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Towards Semantic Reasoning in Knowledge Management Systems,t KM systems can benefit from semantics by illustrating examples from the life-sciences and industry. Lastly, we present results of our semantic-based analytics workflow implemented for Siemens power generation plants.

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1868-4238 anagement, AI4KM 2016, held in New York, USA, in July 2016, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2016.?.The 9 revised and extended papers were carefully reviewed and selected from 16 submissions. They present new research and innovative aspects in

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Using Ontologies to Access Complex Data: Applications on Bio-Imaging,ntribution is to propose a methodology to facilitate the exploitation (interrogation and sharing) of complex data in an organization. The system, we propose, tends to mix semantic approach with data management.

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1868-4238 the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections..978-3-030-06549-2978-3-319-92928-6Series ISSN 1868-4238 Series E-ISSN 1868-422X

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Conference proceedings 20189 revised and extended papers were carefully reviewed and selected from 16 submissions. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections..

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Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis,low for encoding semantics of data and even fewer allow for using ontologies to guide learning process. This paper discusses the use of data semantics and ontologies in health and medical applications of supervised learning, and particularly describes how the Unified Medical Language System (UMLS) i