Title :
Research of Data Provenance Semantic Annotation for Dependency Analysis
Author :
Guoyan Xu ; Zhijian Wang ; Li Yang ; Xiaoyi Sun
Author_Institution :
Coll. of Comput. & Inf., Hohai Univ., Nanjing, China
Abstract :
Currently semantic annotation is a key technology of data provenance tracing and a research focus. Semantic annotation provides users with rich semantic provenance information to meet tracing needs of different users, which can effectively improve the effectiveness and relevance of data provenance tracing. For meeting the needs of data provenance dependency analysis, a model of data provenance semantic annotation is proposed, based on the descriptive model of domain ontology. Then a data provenance ontology is constructed. Finally, a water conservancy forecast application is given to validate the feasibility and effectiveness of this model.
Keywords :
cloud computing; data handling; ontologies (artificial intelligence); cloud computing; data provenance semantic annotation; dependency analysis; domain ontology; water conservancy forecast application; Analytical models; Data models; Ontologies; Process control; Semantics; Unsolicited electronic mail; Water conservation; data provenance; data provenance dependency; domain ontology; semantic annotation;
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2013 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4799-3260-3
DOI :
10.1109/CBD.2013.29
