Tóm tắt nội dung: Emerging applications such as personalized portals, enterprise search, and web integration systems often require keyword search over semi-structured views. However, traditional information retrieval techniques are likely to be expensive in this context because they rely on the assumption that the set of documents being searched is materialized.
Tác giả: Feng Shao, Lin Guo, Chavdar Botev, Anand Bhaskar, Muthiah Chettiar, Fan Yang, Jayeval Shanmugasundaram
Xuất bản: United States
Số phát hành: 23/01/2009
Mô tả vật lý: 28tr.
Dạng tài liệu: Báo
Nguồn gốc: VLDB Journal
Ngôn ngữ: Eng
Tài liệu: Xem toàn văn
Tóm tắt nội dung: Emerging applications such as personalized portals, enterprise search, and web integration systems often require keyword search over semi-structured views. However, traditional information retrieval techniques are likely to be expensive in this context because they rely on the assumption that the set of documents being searched is materialized. In this paper, we present a system architecture and algorithm that can efficiently evaluate keyword search queries over virtual (unmaterialized) XML views. An interesting aspect of our approach is that it exploits indices present on the base data and thereby avoids materializing large parts of the view that are not relevant to the query results. Another feature of the algorithm is that by solely using indices,we can still score the results of queries over the virtual view, and the resulting scores are the same as if the view was materialized.
