Amit Sheth

LexisNexis Ohio Eminent Scholar

Personal Homepage
http://knoesis.wright.edu/amit
Employer
(http://knoesis.wright.edu/)
Email

Amit Sheth is the LexisNexis Ohio Eminent Scholar and an IEEE Fellow. His research has led to several commercial products, two companies, several open source tools and ontologies/datasets used by the research community. Over 10,000 citations to his publications and h-index of 48 quantify impact of his research. An educator, researcher and entrepreneur with experience in academia and industry, he most enjoys working with young talent to make them leaders of tomorrow. He is EIC of IJSWIS (http://ijswis.org), co-EIC of DAPD (http://www.springerlink.com/content/0926-8782), and Springer book series on Semantic Web and Advance Databases.

Publication Statistics

Publication period start
2003
Publication period end
2011
Number of co-authors
25

Co-authors
Number of publications with favourite co-authors

Productive Colleagues
Most productive colleagues in number of publications

Publications

Nagarajan, Meena, Sheth, Amit, Velmurugan, Selvam (2011): Citizen sensor data mining, social media analytics and development centric web application. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 289-290. http://dx.doi.org/10.1145/1963192.1963315

Sheth, Amit, Nagarajan, Meenakshi (2009): Semantics-Empowered Social Computing. In IEEE Internet Computing, 13 (1) pp. 76-80. http://dx.doi.org/10.1109/MIC.2009.21

Thomas, Christopher, Mehra, Pankaj, Brooks, Roger, Sheth, Amit (2008): Growing Fields of Interest - Using an Expand and Reduce Strategy for Domain Model Extracti. In: 2008 IEEE / WIC / ACM International Conference on Web Intelligence WI 2008 9-12 December, 2008, Sydney, NSW, Australia. pp. 496-502. http://dx.doi.org/10.1109/WIIAT.2008.358

Sheth, Amit, Perry, Matthew (2008): Traveling the Semantic Web through Space, Time, and Theme. In IEEE Internet Computing, 12 (2) pp. 81-86. http://dx.doi.org/10.1109/MIC.2008.46

Aleman-Meza, Boanerges, Nagarajan, Meenakshi, Ding, Li, Sheth, Amit, Arpinar, I. Budak, Joshi, Anupam, Finin, Tim (2008): Scalable semantic analytics on social networks for addressing the problem of conflict of i. In ACM Transactions on the Web, 2 (1) pp. 7. http://dx.doi.org/10.1145/1326561.1326568

Anyanwu, Kemafor, Maduko, Angela, Sheth, Amit (2007): SPARQ2L: towards support for subgraph extraction queries in RDF databases. In: Proceedings of the 2007 International Conference on the World Wide Web , 2007, . pp. 797-806. http://doi.acm.org/10.1145/1242572.1242680

Nagarajan, Meenakshi, Sheth, Amit, Aguilera, Marcos, Keeton, Kimberly, Merchant, Arif, Uysal, Mustafa (2007): Altering document term vectors for classification: ontologies as expectations of co-occurr. In: Proceedings of the 2007 International Conference on the World Wide Web , 2007, . pp. 1225-1226. http://doi.acm.org/10.1145/1242572.1242778

Maduko, Angela, Anyanwu, Kemafor, Sheth, Amit, Schliekelman, Paul (2007): Estimating the cardinality of RDF graph patterns. In: Proceedings of the 2007 International Conference on the World Wide Web , 2007, . pp. 1233-1234. http://doi.acm.org/10.1145/1242572.1242782

Sahoo, Satya S., Thomas, Christopher, Sheth, Amit, York, William S., Tartir, Samir (2006): Knowledge modeling and its application in life sciences: a tale of two ontologies. In: Proceedings of the 2006 International Conference on the World Wide Web , 2006, . pp. 317-326. http://doi.acm.org/10.1145/1135777.1135826

Oldham, Nicole, Verma, Kunal, Sheth, Amit, Hakimpour, Farshad (2006): Semantic WS-agreement partner selection. In: Proceedings of the 2006 International Conference on the World Wide Web , 2006, . pp. 697-706. http://doi.acm.org/10.1145/1135777.1135879

Anyanwu, Kemafor, Maduko, Angela, Sheth, Amit (2005): SemRank: ranking complex relationship search results on the semantic web. In: Proceedings of the 2005 International Conference on the World Wide Web , 2005, . pp. 117-127. http://doi.acm.org/10.1145/1060745.1060766

Anyanwu, Kemafor, Sheth, Amit (2003): ρ-Queries: enabling querying for semantic associations on the semantic web. In: Proceedings of the 2003 International Conference on the World Wide Web , 2003, . pp. 690-699. http://doi.acm.org/10.1145/775152.775249