Amit Sheth: Difference between revisions
| Line 16: | Line 16: | ||
==Research== |
==Research== |
||
===Semantic Interoperability/Integration and Semantic Web=== |
===Semantic Interoperability/Integration and Semantic Web=== |
||
Sheth has investigated, demonstrated, and advocated comprehensive use of [[metadata]]. He explored syntactical, structural, and semantic metadata; recently, he has pioneered ontology-driven approaches to metadata extraction and semantic analytics. He was among the first researchers to utilize [[description logics]] based ontologies for schema and information integration (a decade before W3C adopted a DL-based ontology representation standard). His work on multi-ontology query processing includes the most cited paper on the topic (over 485 citations). In 1996, he introduced the powerful concept of Metadata Reference Link (MREF) for associating metadata to hypertext that links documents on the Web, and described an [[RDF]]-based realization in 1998, long before RDF was adopted as a W3C recommendation. A part of his recent work has focussed on information extraction from text to generate semantic metadata in the form of RDF. In his work, semantic metadata extracted from biological text is made up of complex knowledge structures (complex entities and relationships) that reflect complex interactions in biomedical knowledge |
Sheth has investigated, demonstrated, and advocated comprehensive use of [[metadata]]. He explored syntactical, structural, and semantic metadata; recently, he has pioneered ontology-driven approaches to metadata extraction and semantic analytics. He was among the first researchers to utilize [[description logics]] based ontologies for schema and information integration (a decade before W3C adopted a DL-based ontology representation standard). His work on multi-ontology query processing includes the most cited paper on the topic (over 485 citations). In 1996, he introduced the powerful concept of Metadata Reference Link (MREF) for associating metadata to hypertext that links documents on the Web, and described an [[RDF]]-based realization in 1998, long before RDF was adopted as a W3C recommendation. A part of his recent work has focussed on information extraction from text to generate semantic metadata in the form of RDF. In his work, semantic metadata extracted from biological text is made up of complex knowledge structures (complex entities and relationships) that reflect complex interactions in biomedical knowledge<ref name="googleScholar"> |
||
{{citeweb| |
|||
|author= Cartic Ramakrishnan, K. J. Kochut, Amit P. Sheth |
|||
|title= A Framework for Schema-Driven Relationship Discovery from Unstructured Text |
|||
|url=http://www.springerlink.com/content/kh10n04667j34w04/ |
|||
|accessdate= 2008-05-31 |
|||
|}}</ref> |
|||
. |
|||
===Workflow Management and Semantic Web Services=== |
===Workflow Management and Semantic Web Services=== |
||
Revision as of 16:14, 18 September 2008
Dr. Amit Sheth is a computer scientist at Wright State University in Dayton, Ohio. He is the Lexis Nexis Ohio Eminent Scholar for Advanced Data Management and Analysis. [1] Prior to founding the Knoesis center, he served as the director of the Large Scale Distributed Information Systems lab, at the University of Georgia in Athens, Georgia.
Education
Sheth received his Bachelors in Engineering from the prestigious Birla Institute of Technology and Science in Computer Science in the year 1981. He received his MS and Ph.D in Computer Science from the Ohio State University in 1983 and 1985 respectively.
Research
Semantic Interoperability/Integration and Semantic Web
Sheth has investigated, demonstrated, and advocated comprehensive use of metadata. He explored syntactical, structural, and semantic metadata; recently, he has pioneered ontology-driven approaches to metadata extraction and semantic analytics. He was among the first researchers to utilize description logics based ontologies for schema and information integration (a decade before W3C adopted a DL-based ontology representation standard). His work on multi-ontology query processing includes the most cited paper on the topic (over 485 citations). In 1996, he introduced the powerful concept of Metadata Reference Link (MREF) for associating metadata to hypertext that links documents on the Web, and described an RDF-based realization in 1998, long before RDF was adopted as a W3C recommendation. A part of his recent work has focussed on information extraction from text to generate semantic metadata in the form of RDF. In his work, semantic metadata extracted from biological text is made up of complex knowledge structures (complex entities and relationships) that reflect complex interactions in biomedical knowledge[2] .
Workflow Management and Semantic Web Services
In the early 1990s, he initiated research in the formal modeling, scheduling, and correctness of workflows. His METEOR project demonstrated the value of research with real-world applications; its tools were used in graduate courses in several countries, and its technology was licensed to create a commercial product.
The follow-on METEOR-S project has been highly influential. He led the research (later joined by IBM) that resulted in the W3C submission of WSDL-S (Semantic Annotation of WSDL), the basis for SAWSDL, a W3C recommendation for adding semantics to WSDL and XML Schema.
He currently guides the development of SA-REST, which supports microformat-based annotation of popular RESTful services and WebAPIs. For both SAWSDL and SA-REST, he has provided leadership in the community-based process followed by W3C. He coauthored a 1995 paper in the journal of Distributed & Parallel Databases (Springer),which is one of the most cited papers in the area of workflow management literature, with more than 1200 citations, as well as the most cited among over 430 papers published in that journal.[2]
Information Integration
- Federated and multidatabase architectures for integration and interoperability of heterogeneous databases, organized along the dimensions of distribution, heterogeneity, and autonomy
- Schema and view integration, with new and practical integration techniques and tools including the first tool on schema integration (1987) developed in the United States
- Quality and integrity of data in multiple databases, defining the concept of polytransaction and multidatabase consistency specification with innovative ticketing method for multidatabase concurrency control.
His 1990 ACM Computing Surveys paper, with over 1925 citations[2] [3], is the most cited in this area, the second most cited paper in the broader area of distributed database, and the second most cited paper among over 1000 published in that important journal. He offered the first tutorial on heterogeneous database integration at the International Conference on Data Engineering in 1987.
Awards and Accomplishments
Elected IEEE Fellow for contributions to information integration and workflow management [4]
References
- ^
Wright State University. "Wright State names international IT expert LexisNexis Eminent Scholar". Retrieved 2008-05-28.
{{cite web}}: Cite has empty unknown parameters:|1=and|2=(help) - ^ a b c
Cartic Ramakrishnan, K. J. Kochut, Amit P. Sheth. "A Framework for Schema-Driven Relationship Discovery from Unstructured Text". Retrieved 2008-05-31.
{{cite web}}: Cite has empty unknown parameters:|1=and|2=(help)CS1 maint: multiple names: authors list (link) Cite error: The named reference "googleScholar" was defined multiple times with different content (see the help page). - ^
Amit Sheth, James Larson. "Federated database systems for managing distributed, heterogeneous, and autonomous databases". Retrieved 2008-05-31.
{{cite web}}: Cite has empty unknown parameters:|1=and|2=(help) - ^
IEEE. "Fellow Class of 2006". Retrieved 2008-05-28.
{{cite web}}: Cite has empty unknown parameters:|1=and|2=(help)