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Keyword search in RDBs has been extensively studied in recent years. The existing studies focused on finding all or top-k interconnected tuple-structures that contain keywords. In reality, the number of such interconnected tuple-structures for a keyword query can be large. It becomes very difficult for users to obtain
In this paper we explore the design of Leyline, a provenance-based desktop search and file management system, both on a conceptual and user interface level. We start with a comparative analysis and classification of previous provenance based search systems, examining their underlying assumptions and focus, search coverage and flexibility, as well as features and limitations. We then describe a novel...
Keyword based information retrieval has difficulties in retrieving relevant information because it is not able to include the semantics of queries. In this paper, we present a novel method for query expansion based on semantic relations. In our proposed algorithm, semantically related words to the query are extracted
How to effectively locate a file in the emerging cyber, physical, and social systems is becoming a very important challenge due to the convergence of everyday life devices. A typical scenario goes like this. If you do not remember anything about a file (such as keywords or some text in the document) except some
As the insufficiency of artificial methods for silkworm incubation, a new real-time monitoring system based on pre-evaluation compensation with gain self-adaptive control designed for silkworm incubation is introduced in this paper. The system enables silkworm regularly and automatic transposition for a 360-degree, and has light, temperature, wet-precise control. It also manages the sales process...
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