Research in multi-organizational processes and semantic information brokering at the LSDIS lab

The Large Scale Distributed Information Systems Lab (LSDIS) at the University of Georgia was established in the Fall of 1994 to perform research and technology development on two complementary themes in distributed information systems: Enabling Infocosm and Processes for Networked Organizations. Enabling Infocosm Theme. The merging of computers and communications with significant advances in networking infrastructure has made millions of information sources with wide varieties of information accessible. This capability gives us a vision of an information rich society "infocosm", where we expect to have any information any where we want in (m)any form(s) for effective decision making and knowledge-centric activities, improved productivity, and fun. Emphasis of our research is on semantics (meaning and use) of information and semantic interoperability supported by an information brokering architecture. This is closely tied to the recent interest in Semantic Web, which is presented as “ the Web of data (and connections) with meaning in the sense that a computer program can learn enough about what the data means to process it (Tim Berners-Lee, Weaving the Web, 1999). Our emphasis is on organizing and utilizing Web-based as well as enterprise content semantically, rather than though syntactic and structural methods.

[1]  ShethAmit,et al.  Semantic and schematic similarities between database objects: a context-based approach , 1996, VLDB 1996.

[2]  Vipul Kashyap,et al.  Information Brokering Across Heterogeneous Digital Data , 2000, Advances in Database Systems.

[3]  Amit P. Sheth,et al.  Perspectives in Modeling: Simulation, Database, and Workflow , 1997, Conceptual Modeling.

[4]  Amit P. Sheth,et al.  Searching Distributed and Heterogeneous Digital Media , 1999, DS-8.

[5]  Amit P. Sheth,et al.  Processes Driving the Networked Economy , 1999, IEEE Concurr..

[6]  Amit P. Sheth,et al.  Using Workflow to Build an Information Management System for a Geographically Distributed Genome Seq , 1999 .

[7]  Amit P. Sheth,et al.  Optimizing workflow, using a CORBA based, fully distributed process to create scalable dynamic sys , 1999 .

[8]  Amit P. Sheth,et al.  Processes Driving the Networked Economy: Process Portals, Process Vortexes, and Dynamically Trading Processes , 1999 .

[9]  Amit P. Sheth,et al.  Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics , 1999 .

[10]  Amit P. Sheth,et al.  Infoharness: Managing Distributed, Heterogeneous Information , 1999, IEEE Internet Comput..

[11]  Amit P. Sheth,et al.  Processes Driving the Networked Economy: Process Portals , 1999 .

[12]  Vipul Kashyap,et al.  Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing , 2000, Int. J. Cooperative Inf. Syst..

[13]  Amit P. Sheth,et al.  Complex Relationships for the Semantic Web , 2003, Spinning the Semantic Web.