Results 11 to 20 of about 24,802 (228)
XML-Based RDF Data Management for XPath Query Language
The Semantic Web is an extention of the current Web that will allow to find, share and combine information more easily. The meaning in the Semantic Web is mostly represented by Resource Description Framework (RDF). To harvest such power requires robust and scalable data repositories that can store RDF data.
Win Lai Hnin
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C-SPARQL: A CONTINUOUS QUERY LANGUAGE FOR RDF DATA STREAMS [PDF]
This article defines C-SPARQL, an extension of SPARQL whose distinguishing feature is the support of continuous queries, i.e. queries registered over RDF data streams and then continuously executed. Queries consider windows, i.e. the most recent triples of such streams, observed while data is continuously flowing.
Davide Barbieri +4 more
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AbstractIn order to meet the needs of ordinary users’ fuzzy query, and to take into account of the complexity and precision rate of implemented system, this paper summarizes existed user-query-oriented theory and presents a method for fuzzy query based on PBFS and NQL language. This paper proposes a SQL language at first with simple, intuitive features;
Jian He, Leyuan Liu, Fan Yu, Yi Han
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Database to Semantic Web Mapping Using RDF Query Languages [PDF]
One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we present an approach to map legacy data stored in relational databases into the Semantic Web using virtually any modern RDF query language, as long as it is closed within RDF ...
Cristian Pérez de Laborda +1 more
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T-SPARQL: A TSQL2-like Temporal Query Language for RDF. [PDF]
In this paper, we present a temporal extension of the SPARQL query language for RDF graphs. The new language is based on a temporal RDF database model employing triple timestamping with temporal elements, which best preserves the scalability property enjoyed by triple storage technologies, especially in a multi-temporal setting.
Fábio Grandi
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A new system for massive RDF data management using Big Data query languages Pig, Hive, and Spark
Mouad Banane
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XML-BASED RDF QUERY LANGUAGE (XRQL) AND ITS IMPLEMENTATION
Norihiro Ishikawa +4 more
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Efficient semantic summary graphs for querying large knowledge graphs
Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources of knowledge. In such a context, reducing the size of a Resource Description
Emetis Niazmand +3 more
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Towards Interactive Analytics over RDF Graphs
The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools.
Maria-Evangelia Papadaki +2 more
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