CFP: APWeb-WAIM Joint Conference on Web and Big Data 2017

    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 separated 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), Xi’an (2000), Changsha (2001), Xi’an (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), Xi‘an (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). Since 2017, the two conferences’ committees agree to launch a joint conference together. Bringing the efforts of the two committees into a new joint conference is expected to attract more professionals of different communities such as industry and academic from not only Asia Pacific countries but also other continents in the new era of Big Data. The first APWeb-WAIM joint conference on Web and Big Data 2017 will take place at 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 make best of your time here to visit more places and enjoy more scenery and we believe you will harvest a lot.
    APWeb-WAIM Joint Conference on Web and Big Data 2017 includes but is not limited to the following areas:
    •Advanced database and Web applications
    •Big data analytics
    •Big data management
    •Caching and replication
    •Cloud computing
    •Content management
    •Data and information quality
    •Data management for mobile and pervasivecomputing
    •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, socialnetworks
    •Information extraction
    •Information integration and heterogeneoussystems
    •Information retrieval
    •Knowledge extractionand management
    •Multimedia information systems
    •Machine Learning
    •Parallel anddistributed 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
    Important Dates
    Abstract Deadline: February 24th, 2017 February 10th, 2017   Author Notification Deadline: April 28th, 2017 April 21st, 2017
    Full Paper Deadline: March 3rd, 2017 February 17th, 2017      Camera Ready Deadline: May 8th, 2017 May 1st, 2017
    General Co-Chairs
    Xiaoyong Du (Renmin University of China, China)
    Beng Chin Ooi (National University of Singapore, Singapore)
    M. Tamer Özsu (University of Waterloo, Canada)

    Program Committee Co-Chairs:

    Lei Chen (Hong Kong University of Science and Technology, China)
    Christian S. Jensen (Aalborg University, Denmark)
    Cyrus Shahabi (The University of Southern California, USA)
    Paper Submission Website: