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The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data is aiming at attracting professionals of different communities related to Web and Big Data who have common interests in interdisciplinary research to share and exchange ideas, experience and the underlying techniques and applications, including Web technologies, database systems, information management, software engineering and big data.
APWeb and WAIM are two independent leading international conferences on research, development and applications of Web technologies and database systems. Previous APWeb conferences were held in Beijing (1998), Hong Kong (1999), XiÕan (2000), Changsha (2001), XiÕan (2003), Hangzhou (2004), Shanghai (2005), Harbin (2006), Huangshan (2007), Shenyang (2008), Suzhou (2009), Busan (2010), Beijing (2011), Kunming (2012), Sydney (2013), Changsha(2014), Guangzhou (2015), and Suzhou (2016). Previous WAIM conferences were held in Shanghai (2000), XiÕan (2001), Beijing (2002), Chendu (2003), Dalian (2004), Hangzhou (2005), Hong Kong (2006), Huang shan (2007), Zhangjiajie (2008), Suzhou (2009), Jiuzhaigou (2010), Wuhan (2011), Harbin (2012), Beidaihe (2013), Macau (2014), Qingdao (2015), and Nanchang (2016).
Starting in 2017, the two conference committees have agreed to launch a joint conference. With the increased focus on Big Data, the new joint conference is expected to attract more professionals from different industrial and academic communities, not only from the Asia Pacific countries but also from other continents.
The first APWeb-WAIM joint conference on Web and Big Data 2017 will take place in Beijing, China. Beijing is a city where the old cultural traditions and the modern civilization are well integrated. It is our sincere hope that you will join the conference, which may enable you to also experience the cultural and historical attractions of Beijing.

征稿信息

重要日期

2017-02-24
摘要截稿日期

征稿范围

  • Advanced database and Web applications

  • Big data analytics

  • Big data management

  • Caching and replication

  • Cloud computing

  • Content management

  • Crowdsourcing

  • Data and information quality

  • Data management for mobile and pervasive computing

  • Data management on new hardware

  • Data mining

  • Data provenance and workflow

  • Data warehousing and OLAP

  • Deep Web

  • Digital libraries

  • Entity resolution and entity linking

  • Graph data management, RDF, social networks

  • Information extraction

  • Information integration and heterogeneous systems

  • Information retrieval

  • Knowledge extraction and management

  • Multimedia information systems

  • Machine Learning

  • Parallel and distributed data management

  • Query processing and optimization

  • Recommender systems

  • Security, privacy, and trust

  • Semantic Web and ontology

  • Sensor networks

  • Service-oriented computing

  • Social media

  • Spatial and temporal databases

  • Storage and access methods

  • Streams, complex event processing

  • Text database, keyword search

  • Uncertain data

  • Web advertising and community analysis

  • Web information quality and fusion

  • Web search and meta-search

  • Web service management

  • XML and semi-structured data

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重要日期
  • 会议日期

    07月07日

    2017

    07月09日

    2017

  • 02月24日 2017

    摘要截稿日期

  • 07月09日 2017

    注册截止日期

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