Our Sponsors
WIRSS 2012 - Fifth InternationalWorkshop on Web Information Retrieval Support Systems (WIRSS’12)
Website www.fst.umac.mo/wic2012 |
Edit Freely
Category WIRSS 2012
Deadline: July 25, 2012 | Date: December 04, 2012-December 07, 2012
Venue/Country: Macau, Macau
Updated: 2012-06-07 23:16:35 (GMT+9)
Call For Papers - CFP
The traditional definition of information retrieval focuses on automated searching within digital collections. The goal is to find all the relevant documents, while selecting as few of the non-relevant documents as possible. One drawback of this definition is that it provides little acknowledgment of the activities people may wish to perform with the information retrieval system. The underlying assumption is that people are able to accurately convey their information needs to the system, and that providing ranked lists of documents will satisfy these needs.Two key aspects of conducting Web searches, crafting queries and evaluating search results, are inherently human tasks. Searchers have mental models of the information needs they wish to satisfy, and draw upon their knowledge of other related concepts as they seek documents that may be relevant to this information need. When using a Web search engine to assist in fulfilling an information seeking goal, a balance must be struck between computer automation and human control. It is the human decision-making aspect of Web search that the WIRSS Workshop aims to enhance and promote. Such systems are especially valuable for Web search tasks that are ambiguous or exploratory in nature.While traditional Web search systems focus on search and browsing functionalities, WIRSS focuses on the functionalities that support user-centric tasks that are performed with the Web search system. In order for users to extract useful information from the Web, and be able to make effective use of this information, users must take an active role in the tasks associated with Web search. These tasks include crafting and refining queries; browsing, investigating and exploring search results sets; and analyzing, understanding, and organizing retrieved documents.Fundamentally, this is a change in the design philosophy which moves the focus of Web search from the documents being searched to the tasks that people need to perform. We believe this philosophical shift will mark a move towards next-generation Web search systems, and a transition from information retrieval to knowledge retrieval.The aim of this full-day workshop is to build upon the success of the previous International Workshops on Web Information Retrieval Support Systems (WIRSS) held in 2008, 2009, 2010, and 2011. We wish to bringing together academic and industry researchers to discuss advances in providing intelligent support for the the user-centric tasks associated with Web search. Researchers from diverse filed such as information retrieval, artificial intelligence, human-computer interaction, information visualization, Web systems, natural language processing, and agent systems are invited to contribute to this workshop.Issues to be ExploredThe issues that we wish to explore within the WIRSS Workshop include, but are not limited to, the following:interactive query refinementsearch results representations and visualizationsearch results explorationre-finding informationsearch results storage and organizationdocument summarizationpersonalizationmulti-level and multi-view representationsWeb search user behaviouruser studies of Web search interfacesknowledge management systemssemantic webhuman-centred searchKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.