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This paper proposes an interface to support information seeking behavior for context searching. Context searching is a search behavior based on trend-related queries (e.g., “What were the hot topics last year?”). Our proposed system facilitates such search behavior using trend-related queries. In the current search engine, users encounter difficulty in inputting a trend-related query using natural...
This paper proposes an interactive context search system for exchange rate data, which supports users to grasp the relationship between exchange rate and events. As the fluctuation of exchange rate is influenced by various kinds of events, it is important to grasp how a certain type of events will influence the fluctuation of exchange rate, and the type of events common to time periods having similar...
In our previous work [1], to improve search quality and user satisfaction by using the user's context of search we have developed a FOCS Model. In this Model, a context ontology is developed to record user's relevant context information and to help the semantic expansion of keywords. To make search results more relevant and personalized, similarity flooding algorithm is used to match context ontology...
In this paper, dual direction transmission model is put forward to realize the simulation of environment sensitive virtual plants and the resource competition. Binary tree is introduced to store the expression of L system that make it is easer to get the logical relationship among nodes which close to each other. Experiment result shows that context search in the process of virtual plants growth is...
This paper proposes a two-tier semantic peer-to-peer network that facilitates efficient search for context information in wide-area networks. Context data with the same semantics are grouped together into a one-dimensional semantic ring space in the upper-tier network. This is achieved by applying an ontology- based semantic clustering technique and dedicating part of node identifiers to correspond...
Context search is related to gathering information about user's sphere of interest before search process. This information defines context and augments search query in subsequent phases of search to attain better search results. There are several methods for searching with context. We took rank-biasing as a base and schemed out a modification hypothesizing that this will enable the method to fetch...
Data access in the enterprise requires us to combine data from different sources and different formats. It is advantageous to focus on the intersection of the knowledge across sources and domains; identifying appropriately related knowledge and ignoring irrelevant knowledge, which distracts and serves to make the integration unwieldy and more complicated than necessary. A contextualized search over...
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