Title :
Data Provenance Architecture Based on Semantic Web Services
Author :
Xu, Guoyan ; Wang, Zhijian
Author_Institution :
Coll. of Comput. & Inf., HoHai Univ., NanJin, China
Abstract :
Data provenance is becoming increasingly important in distributed computing environments. Data provenance is used for inspecting and verifying data quality, data usability, and data reliability. This paper proposes a data provenance architecture based on semantic web services for managing data provenance. This architecture can record and query semantic provenance information. In detail, we present a Semantic Provenance Annotation Model and discuss a semantic provenance annotation ontology based on this model and OWL-S.
Keywords :
Web services; data handling; knowledge representation languages; ontologies (artificial intelligence); query processing; semantic Web; OWL-S; data provenance architecture; data provenance management; data quality; data reliability; data usability; distributed computing environments; query semantic provenance information; semantic Web services; semantic provenance annotation model; semantic provenance annotation ontology; Computer architecture; Data models; Ontologies; Semantic Web; Semantics; Service oriented architecture; Data Provenance; Domain Ontology; OWL-S; Semantic Web Services;
Conference_Titel :
Service Oriented System Engineering (SOSE), 2010 Fifth IEEE International Symposium on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-7327-4
DOI :
10.1109/SOSE.2010.18
