—Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far...
mDNS is a proposed DNS-aware, hierarchical, and scalable multicast session directory architecture that enables multicast session registration and makes them discoverable in real ti...
Effective keyword search on image databases is a major open problem, due to the inherent imprecision of keywords (tags) used to describe images' content. In this paper we pre...
Keyword search over entity databases (e.g., product, movie databases) is an important problem. Current techniques for keyword search on databases may often return incomplete and i...
Keyword search on graph structured data has attracted a lot of attention in recent years. Graphs are a natural "lowest common denominator" representation which can combi...
Bhavana Bharat Dalvi, Meghana Kshirsagar, S. Sudar...
—As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have t...
Jin Li, Qian Wang, Cong Wang, Ning Cao, Kui Ren, W...
Many Web sites support keyword search on their spatial data, such as business listings and photos. In these systems, inconsistencies and errors can exist in both queries and the d...
DBPubs is a system for effectively analyzing and exploring the content of database publications by combining keyword search with OLAP-style aggregations, navigation, and reporting...
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik N...
Keyword search is a user-friendly mechanism for retrieving XML data in web and scientific applications. An intuitively compelling but vaguely defined goal is to identify matches t...
Keyword search has traditionally focussed on retrieving documents in ranked order, given simple keyword queries. Similarly, work on keyword queries on structured data has focussed...