Search by property
This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.
List of results
- Adaptive Integration of Distributed Semantic Web Data + (No data available now.)
- Optimizing SPARQL Queries over Disparate RDF Data Sources through Distributed Semi-joins + (No data available now.)
- A Probabilistic-Logical Framework for Ontology Matching + (No data available now.)
- AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies + (No data available now.)
- Discovering and Maintaining Links on the Web of Data + (No data available now.)
- 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.)
- SERIMI – Resource Description Similarity, RDF Instance Matching and Interlinking + (No data available now.)
- Accessing and Documenting Relational Databases through OWL Ontologies + (No data available now.)
- SLINT: A Schema-Independent Linked Data Interlinking System + (No data available now.)
- D2RQ – Treating Non-RDF Databases as Virtual RDF Graphs + (No data available now.)
- Use of OWL and SWRL for Semantic Relational Database Translation + (No data available now.)
- DataMaster – a Plug-in for Importing Schemas and Data from Relational Databases into Protégé + (No data available now.)
- RDB2ONT: A Tool for Generating OWL Ontologies From Relational Database Systems + (No data available now.)
- From Relational Data to RDFS Models + (No data available now.)
- Relational.OWL - A Data and Schema Representation Format Based on OWL + (No data available now.)
- 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.)
- Bringing Relational Databases into the Semantic Web: A Survey + (No data available now.)
- Analysing Scholarly Communication Metadata of Computer Science Events + (No data available now.)
- A Survey of Current Link Discovery Frameworks + (No data available now.)
- Integration of Scholarly Communication Metadata using Knowledge Graphs + (No data available now.)
- Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles + (No data available now.)
- Cross: an OWL wrapper for teasoning on relational databases + (No data available now.)
- Towards a Knowledge Graph for Science + (No data available now.)
- ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints + (Query Decomposition, Query Optimization, and Query adaptation.)
- Avalanche: Putting the Spirit of the Web back into Semantic Web Querying + (the exponential complexity class of the plan composition space.)
- Querying Distributed RDF Data Sources with SPARQL + ({{{Challenges}}})
- FedX: Optimization Techniques for Federated Query Processing on Linked Data + ({{{Challenges}}})
- SPLENDID: SPARQL Endpoint Federation Exploiting VOID Descriptions + ({{{Challenges}}})
- Querying the Web of Data with Graph Theory-based Techniques + ({{{Challenges}}})
- Querying over Federated SPARQL Endpoints : A State of the Art Survey + ({{{Challenges}}})
- Querying the Web of Interlinked Datasets using VOID Descriptions + ({{{Challenges}}})
- KnoFuss: A Comprehensive Architecture for Knowledge Fusion + ({{{Challenges}}})
- A Semantic Web Middleware for Virtual Data Integration on the Web + ({{{Challenges}}})
- Zhishi.links Results for OAEI 2011 + (– When it comes with the problem of homony … – When it comes with the problem of homonyms, instance matching systems should exploit as much information as possible to enhance the discriminability of their matchers. Currently, subject to the fact that most descriptions given by New York Times are written in natural language, the performance of our semantic similarity calculator are constrained. We are considering more tests carrying out on datasets in different styles and designing a more robust system. – In DI track, only three types of resources are involved. The special words in names, which are extracted as values of characteristic properties, are chosen manually. Some smarter strategies should be applied to accomplish this mission.uld be applied to accomplish this mission.)