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SWPM 2012 : The Third International Workshop on the role of Semantic Web in Provenance ManagementConference Series : Semantic Web in Provenance Management | |||||||||||
Link: http://sites.google.com/site/swpm2012 | |||||||||||
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Call For Papers | |||||||||||
********* The First Call for Papers: SWPM2012 *********
The Third International Workshop on the role of Semantic Web in Provenance Management website: https://sites.google.com/site/swpm2012/ e-mail: swpm2012@googlegroups.com Held in conjunction with the 9th Extended Semantic Web Conference ESWC-2012 website: http://2012.eswc-conferences.org/ ---------------- IMPORTANT DATES: ---------------- Submission deadline: 4th March 2012 Notification of acceptance: 1st April 2012 Deadline for camera-ready copy: 15 April 2012 Workshop day: 27 (or 28) May 2012 ------- Overview ------- The current Knowledge Economy is encouraging organizations and governments to publish and expose their data, make them accessible to the public and reusable for new, unanticipated purposes. Initiatives like the Linked Open Data (LOD) and eScience have created a vast amount of information that can be leveraged by Semantic Web applications in a variety of real world scenarios. The importance of managing various forms of metadata has long been recognized as critical in the Semantic Web. In this workshop we focus specifically on metadata that describes the origins of the data, i.e. the provenance of data. Provenance metadata is essential to correctly interpret the results of a process execution, to validate data processing tools, to verify the quality of data, and to associate measures of trust to the data. At the same time, the scale at which data across different domains (e.g. biomedical informatics, astronomy, oceanography and etc) is created along with the rapidly increasing LOD cloud mandates the processing and analysis of provenance metadata in a scalable way. SWPM'12 follows on from two successful editions, co-located with the International Semantic Web Conference (ISWC). The workshop has the following complementary objectives: (1) to explore the opportunities offered by the Semantic Web technologies in the context of the management and exploitation of provenance. (2) to explore the role of provenance in real-world Semantic Web applications. Additionally, we will organize in this edition a panel on PROV-DM, the provenance model that is currently being developed by the W3C provenance working group and which is on the W3C recommendation track. The aim is to discuss and to identify the opportunities PROV-DM presents in leveraging semantic web applications. ----- TOPICS ----- The workshop solicits the submission of original research papers dealing with analytical, theoretical, and practical aspects of provenance management using Semantic Web. - Topics of interest include, but are not restricted to: - Use of provenance information in real-world applications - Reasoning with provenance for assessing trustworthiness, reliability, and quality of data - Large scale storage and efficient querying of provenance - Interoperability and propagation of provenance across applications - Provenance infrastructure for eScience, social media, business, Web applications, and scientific discourse - Tools for visualizing and browsing provenance information - Provenance summarization to aid usability and scalability ---------------- SUBMISSION GUIDELINES ---------------- We invite full research and experience papers (up to 10 pages) and short papers (up to 6 pages) describing research in progress. We also encourage the submission of demos of prototypes and working systems (2 pages). All papers must be formatted using LNCS and should be submitted using easychair. Easychair link: http://www.easychair.org/conferences/?conf=swpm2012 The workshop proceedings will be part published by CEUR. ---------------- ORGANIZATION ---------------- - Chairs Prof. Amit Sheth Prof. Tim Finin - Organizing Committee: Khalid Belhajjame, University of Manchester, UK Jose Manuel Gomez?Perez, iSOCO, Spain Paolo Missier, Newcastle University, UK Satya S. Sahoo, Case Western Reserve University, USA Jun Zhao, University of Oxford, UK. |
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