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.
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
07月07日
2017
07月09日
2017
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