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Property:Has Description
This is a property of type Text.
Pages using the property "Has Description"
Showing 25 pages using this property.
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| A Probabilistic-Logical Framework for Ontology Matching + | We applied the reasoner Pellet to create the ground MLN formulation and used TheBeast2 (Riedel 2008) to convert the MLN formulations to the corresponding ILP instances. Finally, we applied the mixed integer programming solver SCIP3 to solve the ILP. + |
| A Semantic Web Middleware for Virtual Data Integration on the Web + | For the following sample queries, real-world data of sunspot observations recorded at Kanzelh¨ohe Solar Observatory (KSO) have been used. The observatory is also a partner in the Austrian Grid project. The queries are shown in Fig. 2. Query 1 retrieves the first name, the last name, and optionally the e-mail address of scientists who have done observations. Query 2 retrieves all observations ever recorded by Mr. Otruba. + |
| A Survey of Current Link Discovery Frameworks + | No data available now. + |
| ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints + | We report on runtime performance, which corresponds to the user time produced by the _ _ command of the Unix operation system. Experiments in RDF-3X were run in both cold and warm caches; to run cold cache, we executed the same query five times by dropping the cache just before running the first iteration of the query. Each query executed by ANAPSID and SPARQL endpoints was run ten times, and we report on the average time. + |
| Accessing and Documenting Relational Databases through OWL Ontologies + | No data available now. + |
| Adaptive Integration of Distributed Semantic Web Data + | No data available now. + |
| AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies + | No data available now. + |
| Analysing Scholarly Communication Metadata of Computer Science Events + | No data available now. + |
| Avalanche: Putting the Spirit of the Web back into Semantic Web Querying + | {{{Description}}} + |
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| Bringing Relational Databases into the Semantic Web: A Survey + | No data available now. + |
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| Cross: an OWL wrapper for teasoning on relational databases + | No data available now. + |
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| D2RQ – Treating Non-RDF Databases as Virtual RDF Graphs + | No data available now. + |
| DataMaster – a Plug-in for Importing Schemas and Data from Relational Databases into Protégé + | No data available now. + |
| Discovering and Maintaining Links on the Web of Data + | No data available now. + |
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| From Relational Data to RDFS Models + | No data available now. + |
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| Integration of Scholarly Communication Metadata using Knowledge Graphs + | No data available now. + |
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| KnoFuss: A Comprehensive Architecture for Knowledge Fusion + | - + |
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| LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data + | No data available now. + |
| LogMap: Logic-based and Scalable Ontology Matching + | No data available now. + |
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| Optimizing SPARQL Queries over Disparate RDF Data Sources through Distributed Semi-joins + | No data available now. + |
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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. + |
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 + |
