Beiträge in Tagungsbänden:
A. Roth, S. Skritek:
"Peer Data Management";
in: "Data Exchange, Integration, and Streams",
P. Kolaitis, M. Lenzerini, N. Schweikardt (Hrg.);
herausgegeben von: Schloss Dagstuhl;
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany,
2013, (eingeladen),
ISBN: 978-3-939897-61-3,
30 S.
Kurzfassung englisch:
Peer Data Management (PDM) deals with the management of structured data in unstructured peer-to-peer (P2P) networks. Each peer can store data locally and define relationships between its data and the data provided by other peers. Queries posed to any of the peers are then answered by also considering the information implied by those mappings. The overall goal of PDM is to provide semantically well-founded integration and exchange of heterogeneous and distributed data sources. Unlike traditional data integration systems, peer data management systems (PDMSs) thereby allow for full autonomy of each member and need no central coordinator. The promise of such systems is to provide flexible data integration and exchange at low setup and maintenance costs. However, building such systems raises many challenges. Beside the obvious scalability problem, choosing an appropriate semantics that can deal with arbitrary, even cyclic topologies, data inconsistencies, or updates while at the same time allowing for tractable reasoning has been an area of active research in the last decade. In this survey we provide an overview of the different approaches suggested in the literature to tackle these problems, focusing on appropriate semantics for query answering and data exchange rather than on implementation specific problems.
Schlagworte:
Peer Data Management, PDM, Peer Data Management Systems, PDMS, Survey, P2P
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.4230/DFU.Vol5.10452.185
Elektronische Version der Publikation:
http://drops.dagstuhl.de/opus/volltexte/2013/4294/pdf/ch07-roth.pdf
Zugeordnete Projekte:
Projektleitung Reinhard Pichler:
SEE: SPARQL Evaluation and Extensions
Projektleitung Reinhard Pichler:
Service-orientierte Datenintegration
Projektleitung Reinhard Pichler:
Theoretisch Effiziente Lösbarkeit vs. Praktische Berechnung
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.