By Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris (auth.), Ngoc Thanh Nguyen, Radosław Katarzyniak, Shyi-Ming Chen (eds.)
The ebook contains 32 prolonged chapters which were in keeping with chosen submissions to the poster consultation geared up in the course of the 2d Asian convention on clever info and Database platforms (24-26 March 2010 in Hue, Vietnam). The publication is geared up into 4 elements dedicated to info retrieval and administration, provider composition and user-centered strategy, facts mining and information extraction, and computational intelligence, respectively. All chapters within the e-book speak about theoretical and sensible matters relating to integration of synthetic intelligence and database applied sciences so as to boost new sessions of clever info platforms. Such mix of synthetic intelligence and database applied sciences is a quick starting to be subfield of recent desktop technological know-how, very important because of the consistent improvement of networked info platforms. New worldwide multimedia structures utilized by heterogeneous populations demand those advancements. The editors wish that the booklet should be precious for graduate and PhD scholars of laptop technology, in addition to for mature lecturers, researchers and practitioners drawn to powerful software of man-made intelligence and database platforms to trendy info environments. it's the wish of the editors that readers of this quantity can locate many inspiring rules and influential functional examples and use them of their destiny work.
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Additional resources for Advances in intelligent information and database systems
Determining Related Entities: Each entity that has a relation determined in step 2 with an entity recognized in step 3 is added to the query. In the scope of this paper, we consider to expand only queries having one relation each. However, the method can be applied straightforwardly to queries with more than one relation. After the query is expanded with the names of latently related entities, it is processed by Part 1 of the system described in above. 1 Datasets A test collection includes 3 parts: (1) document collection; (2) query collection; and (3) relevance evaluation, stating which document is relevant to a query.
The city’s aliases, such as Ho Chi Minh City or HCM City. Besides, documents containing Saigon River or Saigon University are also suitable. g. the actress Paris Hilton, but are not cities. M. H. , the Paris City in Texas, USA, not the one in France. Nevertheless, in many cases, named entities alone do not represent fully the contents of a document or a query. For example, given the query “earthquake in Indonesia”, the keyword “earthquake” also conveys important information for searching suitable documents.
There are well-known standard datasets such as TREC, CISI, NTCIR, CLEF, Reuters-21578, TIME, and WBR99. We have surveyed papers in SIGIR-20076 and SIGIR-20087 to know which datasets have been often used in information retrieval community so far. We only consider papers about text IR, not IR for multi-language, picture, music, video, markup document XML, SGML,… Besides, all poster papers in SIGIR-2007 and SIGIR-2008 are not reviewed. There are 56 papers about text IR examined and classified into three groups, namely, TREC8 (The Text REtrieval Conference), author-own, and other standard datasets.