The Query Representation and Understanding (QRU) data set contains a set of similar queries that can be used in web research such as query transformation and relevance ranking. QRU contains similar queries that are related to existing benchmark data sets, such as TREC query sets. The QRU data set was created by extracting 100 TREC queries, training a query-generation model and a commercial search engine, generating similar queries from TREC queries with the model, and removal of mistakenly generated queries.
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We present the DataMeadow, a visual canvas providing rich interaction for constructing visual queries using graphical set representations called DataRoses. A...
http://www.cse.chalmers.se/~tsigas/papers/DataMeadow-InfoVis.pdf
on Half-Life einmal etwas genauer eingehen. Zunächst möchte ich ansprechen, was das Protokoll alles ermöglicht. Dann werden wir uns mit einigen konkreten Beispielen (PHP-Serverabfrage, etc.) beschäftigen.
HTSQL was created in 2005 to provide an XPath-like HTTP interface to PostgreSQL for client-side XSLT screens and reports. HTSQL found its audience when analysts and researchers bypassed the user interface and started to use URLs directly. The language has evolved since then.
he LUPOSDATE SPARQL system supports various approaches to manage RDF data and process SPARQL queries: Index, RDF3X, Stream, Jena and Sesame. Jena [21] and Sesame [3] refer to third-party SPARQL engines. Index is our in-memory Engine presented in [6]. Stream is our stream-based implementation (see [10]). RDF3X is a re-implementation of [14], but is further enhanced with additional optimization strategies.
Queries with joins, however, are more likely to have coincident attribute names and require explicit differentiation. For example, the primary key of both Addresses and Orders is called id. Qualifying all the field names
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