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Property:Has Description
This is a property of type Text.
Pages using the property "Has Description"
Showing 15 pages using this property.
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| Querying Distributed RDF Data Sources with SPARQL + | In this section we evaluate the performance of the DARQ query engine. The prototype was implemented in Java as an extension to ARQ5. We used a subset of DBpedia6. DBpedia contains RDF information extracted from Wikipedia. The dataset is offered in different parts. + |
| Querying over Federated SPARQL Endpoints : A State of the Art Survey + | {{{Description}}} + |
| Querying the Web of Data with Graph Theory-based Techniques + | We deploy 6 SPARQL endpoints (Sesame 2.4.0) on 5 remote virtual machines. About 400,000 triples (generated by BSBM) are distributed to these endpoints following Gaussian distribution. We follow the metrics presented in (23). For each query, we calculate the number of queries executed per second (QPS) and average results count. For the whole test, we record the overall runtime, CPU usage, memory usage and network overhead. We perform 10 warm up runs and 50 testing runs for each engine. Time out is set to 30 seconds. In each run, only one instance of each engine is used for all queries, but cache is cleared after finishing each query. Warm up runs are not counted in query time related metrics, but included in system and network overhead. + |
| Querying the Web of Interlinked Datasets using VOID Descriptions + | - + |
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| RDB2ONT: A Tool for Generating OWL Ontologies From Relational Database Systems + | No data available now. + |
| Relational.OWL - A Data and Schema Representation Format Based on OWL + | No data available now. + |
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| SERIMI – Resource Description Similarity, RDF Instance Matching and Interlinking + | No data available now. + |
| SLINT: A Schema-Independent Linked Data Interlinking System + | No data available now. + |
| SPLENDID: SPARQL Endpoint Federation Exploiting VOID Descriptions + | we investigated how the information from the VOID descriptions effect the accuracy of the source selection. For each query, we look at the number of sources selected and the resulting number of requests to the SPARQL endpoints. We tested three different source selection approaches, based on 1) predicate index only (no type information), 2) predicate and type index, and 3) predicate and type index and grouping of sameAs patterns as described in Section 4.2. + |
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| Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles + | We followed these steps: – A set of 10 predefined natural language queries has been prepared for evaluation Table 4. Then, asking participants to try to answer these queries using their own tools and services. The queries were chosen in increasing order of complexity. – We implemented SPARQL queries corresponding to each of these queries to enable non-expert participants, not familiar with SPARQL, to query the knowledge graph. – We asked researchers to review the answers of the pre-defined queries that we formulated based on the SemSur ontology. We asked them to tell us whether they consider the provided answers and the way queries are formulated comprehensive and reasonable. – We finally asked the same researchers to fill in a satisfaction questionnaire with 18 questions14 + |
| Towards a Knowledge Graph for Science + | No data available now. + |
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| Unveiling the hidden bride: deep annotation for mapping and migrating legacy data to the Semantic Web + | No data available now. + |
| Updating Relational Data via SPARQL/Update + | No data available now. + |
| Use of OWL and SWRL for Semantic Relational Database Translation + | No data available now. + |
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| Zhishi.links Results for OAEI 2011 + | No data available now. + |
Facts about "Has Description"
| Has type "Has type" is a predefined property that describes the datatype of a property and is provided by Semantic MediaWiki. | Text + |
