1. 제 목 : Preference Query Formulation and Processing: Ranking and Skyline Query Approaches
2. 발 표 자 : 황 승 원 교수 (POSTECH)
3. 일 시 : 2008년 11월 21일(금) 11 : 00 - 13 : 00
4. 장 소 : 경북대 공대 9호관 521호
5. 초청교수 : 한 욱 신 교수
6. 강사약력 :
PhD (2005), University of Illinois at Urbana-Champaign
2005 - 현재: POSTECH 컴퓨터공학과 조교수
7. 내용요약 :
As near-infinite amount of data are becoming accessible on the Web, it is getting more and more important to support intelligent query mechanisms, to better help each user to identify the preferred results of manageable size. As such mechanism, ranking and skyline queries have gained a lot of attention lately, which have the following complementary strengths: Ranking queries enable a strong control over the quality and size of query results, while skyline queries support a more intuitive formulation procedure. In this tutorial, we will explore how user preferences are modeled and how advanced query semantics such as ranking and skyline queries support such preference queries. We then discuss the strengths and weaknesses of the two representative semantics, and recent efforts to combine the strength. We also overview the existing research works on processing ranking and skyline queries efficiently.
※ 주최 : BK21 정보기술연구인력양성사업단, 컴퓨터공학과
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