CW2I: Community Data Indexing for Complex Query Processing
The increasing popularity of Community Web Management Systems (CWMSs) calls for tailor-made data management approaches for them. Still, existing CWMSs have mostly focused on simple similarity based queries; they do not provide a framework for the efficient process ing of more complex queries over community web data. In this paper, we propose a two-way indexing scheme that facilitates efficient and scal able retrieval and complex query processing with community data. A thorough experimental comparison, based on real-world data and prac tical queries, illustrates the advantages of our scheme compared to other approaches for community web data management. Besides, our double indexing scheme provides an attractive solution to the storage problem as well.
Mei Hui Panagiotis Karras Beng Chin Ooi
National University of Singapore
国际会议
11th International Conference,WAIM 2010(第十一届网络时代管理国际会议)
九寨沟
英文
103-114
2010-07-14（万方平台首次上网日期，不代表论文的发表时间）