It is my great pleasure to welcome you to CIKM 2007 -- the 16th ACM Conference on Information and Knowledge Management. The Organizing Committee assumed the role of affirming CIKM as the premier conference at the confluence of information retrieval, databases and knowledge management.
This is the second time the conference is taking place outside the USA. Lisbon, Portugal, is hosting the 2007 event under joint organization between ACM and the University of Lisbon. This is happening at a time when Portugal is holding the presidency of the European Union and many other events are taking place around the city. Lisbon, also known as the city of the explorers, was the departing point for many of the voyages of discovery, and the first true world city, the capital of an empire spreading over all continents. This makes it an ideal place for convening scientists from around the world to exchange new ideas concerning searching, managing and exploring information.
The Program Co-chairs Alberto Laender, Deborah McGuinness and Ricardo Baeza-Yates rightfully deserve to be commended for assembling a superb Program Committee, which worked very hard to provide excellent peer feedback to the authors in a very short time. Thanks also to Bj�rn Olstad and �ystein Haug Olsen, who chaired the Industrial Track.
We had a record number of submissions (above 700 abstracts!) and accepted 86 of the reviewed papers (512) for presentation as full papers (17%). Because we had so many good papers, we decided to accept 49 as short papers for joint presentation in a poster session, and extended the usual limit from two to four pages.
Semantic verification in an online fact seeking environment
Many artificial intelligence tasks, such as automated question answering, reasoning or heterogeneous database integration, involve verification of a semantic category (e.g. "coffee" is a drink, "red" is a color, while "steak" is not a drink and "big" is ...
Developing learning strategies for topic-based summarization
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assigning or experimentally tuning the weights of the features. In this paper, ...
Lightweight web-based fact repositories for textual question answering
Since answers to fact-seeking questions usually reside within small factual text nuggets, often "hidden" within full-length documents, their relevance to a question is not necessarily correlated to the relevance of the full-length document to the ...
Cited By
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Chen L, Gao S and Cao X (2017). Research on real-time outlier detection over big data streams, International Journal of Computers and Applications, 10.1080/1206212X.2017.1397388, 42:1, (93-101), Online publication date: 2-Jan-2020.
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SanMiguel P and S�daba T (2017). Nice to be a fashion blogger, hard to be influential: An analysis based on personal characteristics, knowledge criteria, and social factors, Journal of Global Fashion Marketing, 10.1080/20932685.2017.1399082, 9:1, (40-58), Online publication date: 2-Jan-2018.
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