Federated Query Processing On Linked Data: A Qualitative Survey And Open Challenges
| Autor: | Shaoyi Yin, Belgin Ergenc, Damla Oguz, Oguz Dikenelli, Abdelkader Hameurlain |
|---|---|
| Přispěvatelé: | TR207100, TR130596, Oğuz, Damla, Ergenç, Belgin, Izmir Institute of Technology. Computer Engineering, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Ege University - EGE (TURKEY), Izmir University - IZU (TURKEY), Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France), Ege University - EGE (Izmir, Turkey), Izmir Institute of Technology (IZTECH), Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, The Scientific and Technological Research Council of Turkey (TUBITAK) |
| Rok vydání: | 2015 |
| Předmět: |
Théorie de l'information
Query processing Web search query Information retrieval Number of datum Computer science Recherche d'information Linked data Data handling Query language Query optimization Distributed environments Query expansion [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT] Artificial Intelligence Web query classification [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] Search engines Sargable computer Software Knowledge engineering RDF query language computer.programming_language |
| Zdroj: | Knowledge Engineering Review Knowledge Engineering Review, Cambridge University Press (CUP), 2015, 30 (5), pp.545-563. ⟨10.1017/S0269888915000107⟩ |
| ISSN: | 0269-8889 1469-8005 |
| DOI: | 10.1017/S0269888915000107⟩ |
| Popis: | A large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing approaches used in this interlinked and distributed environment, and then focus on federated query processing on linked data. We provide a detailed and clear insight on data source selection, join methods and query optimization methods of existing query federation engines. Furthermore, we present a qualitative comparison of these engines and give a complementary comparison of the measured metrics of each engine with the idea of pointing out the major strengths of each one. Finally, we discuss the major challenges of federated query processing on linked data. © 2015 Cambridge University Press. The Scientific and Technological Research Council of Turkey |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|