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Understanding the Semantics of Data Provenance - Sudha Ram Abstract: Information is one of the biggest assets for most enterprises. In today’s information age, almost every decision is based on a detailed analysis of data recorded in diverse sources ranging from structured databases to the World Wide Web. To ensure that data retrieved from different sources is used appropriately and within context, it is imperative that the provenance of the data be recorded and made available to its users. Provenance refers to the knowledge that enables a piece of data be interpreted correctly. It is the essential ingredient that ensures that users of data (for whom the data may or may not have been originally intended) understand the background of the data. This includes elements such as, who (person) or what (process) created the data, where it came from, how it was transformed, the assumptions made in generating it, and the processes used to modify it. In this tutorial I will cover research on semantics of data provenance. I will also report on an ontology to represent the semantics of data provenance, and describe ways to automate the capture of provenance. Bio: Sudha Ram is McClelland Professor, Management Information Systems in the Eller College of Management at the University of Arizona. Dr. Ram's research deals with issues related to Enterprise Data Management. Her research has been funded by organizations such as, IBM, Intel Corporation, Raytheon, US ARMY, NIST, NSF, NASA , and Office of Research and Development of the CIA. Specifically, her research deals with Interoperability among Heterogeneous Database Systems, Semantic Modeling, BioInformatics and Spatio-Temporal Semantics, Business Rules Modeling, Web services Discovery and Selection, and Automated software tools for database design. Dr. Ram serves on editorial board for such journals as, Decision Support Systems, Information Systems Frontiers, Journal of Information Technology and Management, and as associate editor for Information Systems Research, Journal of Database Management, and the Journal of Systems and Software, She has chaired several workshops and conferences supported by ACM, IEEE, and AIS. She is a cofounder of the Workshop on Information Technology and Systems (WITS) and serves on the steering committee of many workshops and conferences including the Entity Relationship Conference (ER). Dr. Ram is a member of ACM, IEEE Computer Society, INFORMS, and Association for Information Systems (AIS). She is also the director of the Advanced Database Research Group based at the University of Arizona. |
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