Challenges of Source Selection in the WoD
| Autor: | Dmitrii Moor, Tobias Grubenmann, Abraham Bernstein, Sven Seuken |
|---|---|
| Přispěvatelé: | University of Zurich, Grubenmann, Tobias |
| Rok vydání: | 2017 |
| Předmět: |
Service (systems architecture)
Information retrieval 10009 Department of Informatics Computer science InformationSystems_DATABASEMANAGEMENT 02 engineering and technology computer.file_format Bloom filter 000 Computer science knowledge & systems Core (game theory) Distributed knowledge 020204 information systems Server 0202 electrical engineering electronic engineering information engineering Selection (linguistics) SPARQL 020201 artificial intelligence & image processing 1700 General Computer Science 2614 Theoretical Computer Science computer Semantic Web |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319682877 ISWC (1) University of Zurich |
| DOI: | 10.1007/978-3-319-68288-4_19 |
| Popis: | Federated querying, the idea to execute queries over several distributed knowledge bases, lies at the core of the semantic web vision. To accommodate this vision, SPARQL provides the SERVICE keyword that allows one to allocate sub-queries to servers. In many cases, however, data may be available from multiple sources resulting in a combinatorially growing number of alternative allocations of subqueries to sources. Running a federated query on all possible sources might not be very lucrative from a user’s point of view if extensive execution times or fees are involved in accessing the sources’ data. To address this shortcoming, federated join-cardinality approximation techniques have been proposed to narrow down the number of possible allocations to a few most promising (or results-yielding) ones. |
| Databáze: | OpenAIRE |
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