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活动简介

The DESWeb workshop on "Data Engineering meets the Semantic Web" aims at bridging the gap between the recent advent of Semantic Web technologies and the well-established database techniques. As it has been proved over the last years through several publications and commercial or open source products, there is great potential for mutual learning and cross-fertilization from these two research communities. Given recent developments on the Linked (Open) Data initiative, Web-scale semantic graphs, and related trends, freeing up these synergies to tackle the challenges ahead is more important than ever.

征稿信息

重要日期

2016-12-20
初稿截稿日期
2017-02-05
终稿截稿日期

征稿范围

Topics of interest include but are not limited to:

  • Ontologies and data integration

  • Semantic search

  • Semantic grounding of raw data

  • Linked data

  • Reasoning over Web data and services

  • Semantic authoring and crowdsourcing

  • Semantic recommender systems

  • Generation and aggregation of social semantics

  • Ontologies and data models for social data representation and analysis

  • Social semantic recommendations

  • Distributed query processing and optimization

  • Data quality, profiling, and uncertainty

  • Data mining and knowledge discovery

  • Data provenance and trust

  • Data versioning, evolution, change detection and representation

  • Innovative use of semantic technologies (e.g., on scientific, healthcare, environmental, e-government data etc.)Topics of interest include but are not limited to:

  • Ontologies and data integration

  • Semantic search

  • Semantic grounding of raw data

  • Linked data

  • Reasoning over Web data and services

  • Semantic authoring and crowdsourcing

  • Semantic recommender systems

  • Generation and aggregation of social semantics

  • Ontologies and data models for social data representation and analysis

  • Social semantic recommendations

  • Distributed query processing and optimization

  • Data quality, profiling, and uncertainty

  • Data mining and knowledge discovery

  • Data provenance and trust

  • Data versioning, evolution, change detection and representation

  • Innovative use of semantic technologies (e.g., on scientific, healthcare, environmental, e-government data etc.)

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重要日期
  • 04月22日

    2017

    会议日期

  • 12月20日 2016

    初稿截稿日期

  • 02月05日 2017

    终稿截稿日期

  • 04月22日 2017

    注册截止日期

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WGTMR Monsoon Panel
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San Jose State University
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