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
- 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.)
