In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.
In this paper we introduce a query processing mechanism called an eddy, which continuously reorders operators in a query plan as it runs.
To this end, we present a language for the definition of mappings between the multidimensional schemata of peers and we introduce a query reformulation framework that relies on the translation of mappings, queries, and multidimensional schemata onto the relational level.
In this paper, we introduce a query construction service suitable for large-scale web search engines that is based on Linked Open Data – LOD [9].
In this paper, we introduce a query construction service that resides on top of large-scale web search engines and aims at assisting information seekers formulate queries that are expressive of their search intentions.
In this paper, we focus on the occasions when large-scale web search engines find it difficult to cope with specific information-seeking behaviors and we accordingly introduce a query construction service that is targeted towards the solution of this problem.
In order to take full advantage of the topological structure of digital documents, and particularly web sites, their hierarchical organization should be exploited by introducing a notion of query similar to the one used in database systems.
In this section, we introduce a declarative query language called logic, designed specifically for this text.
In this paper we introduce a novel query capacity constraint MaxBRNN, which can solve the facility location selection problem efficiently.
In this paper we introduce a formal query model comprising four atomic operations over object-structured datasets: keyword search, object focus, path traversal, and facet specification.
Konig et al., 2012 [7] is similar to other p2p monitoring systems in terms of topology but introduces a powerful query language for obtaining monitoring data as opposed to a conventional, simple REST API.
