Workshop Details

WEMA: Workshop on Web Entity Modeling and Applications

Organized by Jun Yan, Bin Gao, Dou Shen, and Zheng Chen
10:45 - 12:30
Room: Alto & Mezzo
http://research.microsoft.com/en-us/um/beijing/events/wema-2012

Web entities have been recognized as one of the key things, which can take real semantics to our current keyword based Web. Entity related research such as entity extraction, entity recognition, entity relation modeling, and entity disambiguation is highly desired by recent advances in various Web applications such as Web search, online advertising, and social networks. As some application examples, without entities being correctly recognized and disambiguated in search queries, the users' search intents are hard to be well understood by search engines. The relation model of people, which is a special kind of entity, is the foundation of social networks mining. The intelligent online services such as “best guess” in Google and “Siri” of Apple highly depend on whether the entities and corresponding concepts in user questions are well recognized and classified. Thus, entity modeling has been an attractive inter-disciplinary research field, interplaying with information extraction, Web mining, machine learning, Natural Language Processing, information retrieval, computational advertising, social network, etc. Taking entity as the theme, this workshop is to bring together leading researchers in related areas to promote this important but underexplored research direction, establish the technical foundation, and assess the state of the art.

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10:45 - 10:50	Welcoming and Introduction Jun Yan	10:45 - 10:50	Welcoming and Introduction Jun Yan	10:45 - 10:50	Welcoming and Introduction	Welcoming and Introduction		10:45 - 10:50	Welcoming and Introduction Jun Yan
10:50 - 11:30	Keynote Talk: Semantic Data Mining: Leveraging Entity Modeling for Knowledge Discovery Ruoming Jin	10:50 - 11:30	Keynote Talk: Semantic Data Mining: Leveraging Entity Modeling for Knowledge Discovery Ruoming Jin	10:50 - 11:30	Keynote Talk: Semantic Data Mining: Leveraging Entity Modeling for Knowledge Discovery	Keynote Talk: Semantic Data Mining: Leveraging Entity Modeling for Knowledge Discovery		10:50 - 11:30	Keynote Talk: Semantic Data Mining: Leveraging Entity Modeling for Knowledge Discovery Ruoming Jin
11:30 - 11:50	Constructing and Exploring Composite Items Using Max-valid Bundles Gowtham Srinivas, Sreyantha Chary, Satheesh Kumar D, and Santhi Thilagam	11:30 - 11:50	Constructing and Exploring Composite Items Using Max-valid Bundles Gowtham Srinivas, Sreyantha Chary, Satheesh Kumar D, and Santhi Thilagam	11:30 - 11:50	Constructing and Exploring Composite Items Using Max-valid Bundles	Constructing and Exploring Composite Items Using Max-valid Bundles		11:30 - 11:50	Constructing and Exploring Composite Items Using Max-valid Bundles Gowtham Srinivas, Sreyantha Chary, Satheesh Kumar D, and Santhi Thilagam
11:50 - 12:10	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making Wenhan Wang, Ning Liu, and Yiran Xie	11:50 - 12:10	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making Wenhan Wang, Ning Liu, and Yiran Xie	11:50 - 12:10	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making		11:50 - 12:10	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making Wenhan Wang, Ning Liu, and Yiran Xie
12:10 - 12:30	Endless and Scalable Knowledge Table Extraction from Semi-structured Websites Yingqin Gu, Lei JI, Ziheng Jiang, and Jun He	12:10 - 12:30	Endless and Scalable Knowledge Table Extraction from Semi-structured Websites Yingqin Gu, Lei JI, Ziheng Jiang, and Jun He	12:10 - 12:30	Endless and Scalable Knowledge Table Extraction from Semi-structured Websites	Endless and Scalable Knowledge Table Extraction from Semi-structured Websites		12:10 - 12:30	Endless and Scalable Knowledge Table Extraction from Semi-structured Websites Yingqin Gu, Lei JI, Ziheng Jiang, and Jun He