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Knowledge management is a scientific discipline that focuses on acquisition, representation, sharing and reuse of knowledge resources. Overall, there are tow main approaches of Knowledge management: the personalization approaches that focus on human resources and communication, and the codification approaches that emphasize the collection and organization of knowledge. In this context of knowledge engineering, ontologies are now widely used. Ontologies are adopted as solution in applications related to knowledge management, e-services, intelligent integration information, information retrieval, integration of databases; as well as in new emerging fields such as the Semantic Web. Due to the encouraging results of this adoption, an increasing attention has been focused on ontologies and Ontological Engineering.

征稿信息

征稿范围

  • knowledge acquisition

  • Knowledge representation

  • Knowledge based System

  • Knowledge engineering, 

  • Machine learning-based systems 

  • Knowledge-based Decision Support 

  • Recommender systems

  • Ontology Based System

  • Ontology development process 

  • Ontology integration and alignment

  • Networked ontologies

  • Ontology graphs

  • Modular ontologies

  • Ontology life cycle

  • Ontology tools

  • Ontology languages

  • Ontology-driven information systems design

  • Ontological foundations for Conceptual modeling

  • Qualitative modeling

  • Ontology and the Internet of Things

  • Ontology for Big Data

  • Ontology for Linked Data

  • Formal comparison among ontologies

  • Semantic models

  • Semantic interoperability

  • Web Semantics

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重要日期
  • 会议日期

    10月30日

    2017

    11月03日

    2017

  • 11月03日 2017

    注册截止日期

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