Using Context to Improve Query Formulation and Entry from Mobile Phones

Effective information disclosure in the context of databases with a large conceptual schema is known to be a non-trivial problem. In particular the formulation of ad-hoc queries is a major problem in such contexts. Existing approaches for tackling this problem include graphical query interfaces, query by navigation, and query by construction. In this article we propose the point to point query ...

The use of a structured query formulation language is one way to retrieve information in information management systems. Formulated queries allow the selection of data under particular constraints. In contrast to menu driven or query by example (QBE) information access methods,1 writing structured queries is a powerful method to access data because it allows endusers to formulate complex databa...

We compare different query formulation strategies and expansion based on lexical affinities in the context of passage retrieval. Our method to expand the queries using lexical affinities replaces only the missing terms from the original query in candidate passages while scoring them. The replacement term’s affinity with the missing term is used to weight the substitution, and the degree of affi...

Voice search is becoming a popular mode for interacting with search engines. As a result, research has gone into building better voice transcription engines, interfaces, and search engines that better handle inherent verbosity of queries. However, when one considers its use by nonnative speakers of English, another aspect that becomes important is the formulation of the query by users. In this ...

Query suggestion, offering related queries to users’ original queries, is proven as an effective solution for users’ difficulty in query formulation. However, the benefits of query suggestion are limited by difficulties in presentation of long query suggestion list. To address this issue, we proposed two approaches: (1) Prioritized, split the most searched and the rest to up and bottom respecti...

Query formulation is a primary task in the retrieval phase of the case-based reasoning (CBR) cycle, and incremental variants of this task are a distinguishing characteristic of some mixed-initiative CBR approaches (e.g., those that implement a conversational CBR methodology). However, it has rarely been the focus of analysis, which complicates comparing these approaches. We identify the primiti...

Nearest Neighbor (NN) searching is a challenging problem in data management and has been widely studied in data mining, pattern recognition and computational geometry. The goal of NN searching is efficiently reporting the nearest data to a given object as a query. In most of the studies both the data and query are assumed to be precise, however, due to the real applications of NN searching, suc...

Query Routing is a critical step in P2P Information Retrieval. In this paper, we consider learning to rank approaches for query routing in the clustered P2P IR architecture. Our formulation, LTRo, scores resources based on the number of relevant documents for each training query, and uses that information to build a model that would then rank promising peers for a new query. Our empirical analy...

This article examines in detail the current issue of originality design objects created using neur- al networks, and denotes that degree result depends on various factors, such as complexity query, transformation original visual image, use non-neural network models. The focuses importance understanding artistic plagiarism design, which helps define boundaries between unique borrowed creativity....