The Summary Abox: Cutting Ontologies Down to Size.Fokoue, A.; Kershenbaum, A.; Ma, L.; Schonberg, E.; and Srinivas, K.2006.In Proceedings of the 5th International Semantic Web Conference (ISWC-06), 343-356. The Summary Abox: Cutting Ontologies Down to SizeBibtex
Extracting Enterprise Vocabularies Using Linked Open Data.Dolby, J.; Fokoue, A.; Kalyanpur, A.; Schonberg, E.; and Srinivas, K.2009.In Proceedings of the 8th International Semantic Web Conference (ISWC-09), 779-794. Extracting Enterprise Vocabularies Using Linked Open DataBibtex
SABER: smart analysis based error reduction.Reimer, D.; Schonberg, E.; Srinivas, K.; Srinivasan, H.; Alpern, B.; Johnson, R. D.; Kershenbaum, A.; and Koved, L.2004.In Proceedings of the ACM/SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2004, Boston, Massachusetts, USA, July 11-14, 2004, 243-251. SABER: smart analysis based error reductionBibtex
Computing OWL Ontology Decompositions Using Resolution.Schiaffino, R.; Fokoue, A.; Kalyanpur, A.; Kershenbaum, A.; Ma, L.; Patel, C.; Schonberg, E.; and Srinivas, K.2007.In Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007. Computing OWL Ontology Decompositions Using ResolutionBibtex
Helix: Online Enterprise Data Analytics.Hassanzadeh, O.; Duan, S.; Fokoue, A.; Kementsietsidis, A.; Srinivas, K.; and Ward, M. J.2011.In Proceedings of the 20th International World Wide Web Conference (WWW2011) - Demo Track. Helix: Online Enterprise Data AnalyticsBibtex
Explorations in the use of semantic web technologies for product information management.Brunner, J. S.; Ma, L.; Wang, C.; Zhang, L.; Wolfson, D. C.; Pan, Y.; and Srinivas, K.2007.In Proceedings of the 16th International Conference on World Wide Web, WWW 2007, Banff, Alberta, Canada, May 8-12, 2007, 747-756. Explorations in the use of semantic web technologies for product information managementBibtex
Scalable Cleanup of Information Extraction Data Using Ontologies.Dolby, J.; Fan, J.; Fokoue, A.; Kalyanpur, A.; Kershenbaum, A.; Ma, L.; Murdock, J. W.; Srinivas, K.; and Welty, C. A.2007.In The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007, 100-113. Scalable Cleanup of Information Extraction Data Using OntologiesBibtex
Simplifying Access to Large-Scale Health Care and Life Sciences Datasets.Stenzhorn, H.; Srinivas, K.; Samwald, M.; and Ruttenberg, A.2008.In The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June 1-5, 2008, Proceedings, 864-868. Simplifying Access to Large-Scale Health Care and Life Sciences DatasetsBibtex
Helix: online enterprise data analytics.Hassanzadeh, O.; Duan, S.; Fokoue, A.; Kementsietsidis, A.; Srinivas, K.; and Ward, M. J.2011.In Proceedings of the 20th International World Wide Web Conference (WWW2011) - Demo Track, 225-228. Helix: online enterprise data analyticsBibtex
Ontology Reasoning with Large Data Repositories.Heymans, S.; Ma, L.; Anicic, D.; Ma, Z.; Steinmetz, N.; Pan, Y.; Mei, J.; Fokoue, A.; Kalyanpur, A.; Kershenbaum, A.; Schonberg, E.; Srinivas, K.; Feier, C.; Hench, G.; Wetzstein, B.; and Keller, U.2008.Ontology Management, Semantic Web, Semantic Web Services, and Business Applications, 89-128. Ontology Reasoning with Large Data RepositoriesBibtexBuy
Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing.Duan, S.; Fokoue, A.; Hassanzadeh, O.; Kementsietsidis, A.; Srinivas, K.; and Ward, M. J.2012.In Proceedings of the 11th International Semantic Web Conference (ISWC 2012). Instance-Based Matching of Large Ontologies Using Locality-Sensitive HashingBibtex
Matching Patient Records to Clinical Trials Using Ontologies.Patel, C.; Cimino, J. J.; Dolby, J.; Fokoue, A.; Kalyanpur, A.; Kershenbaum, A.; Ma, L.; Schonberg, E.; and Srinivas, K.2007.In The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007, 816-829. Matching Patient Records to Clinical Trials Using OntologiesBibtex
Static validation of resource management in large Java applications.Srinivasan, H.; Reimer, D.; Kershenbaum, A.; Schonberg, E.; and Srinivas, K.2004.In International Symposium on Leveraging Applications of Formal Methods, ISoLA 2004, October 30 - November 2, 2004, Paphos, Cyprus. Preliminary proceedings, 250-252. Bibtex
Scalable Matching of Industry Models - a Case Study.Byrne, B.; Fokoue, A.; Kalyanpur, A.; Srinivas, K.; and Wang, M.2009.In Proceedings of the 4th International Workshop on Ontology Matching (OM-2009) collocated with the 8th International Semantic Web Conference (ISWC-2009) Chantilly, USA, October 25, 2009. Scalable Matching of Industry Models - a Case StudyBibtex
Validating structural properties of nested objects.Reimer, D.; Schonberg, E.; Srinivas, K.; Srinivasan, H.; Dolby, J.; Kershenbaum, A.; and Koved, L.2004.In Companion to the 19th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA 2004, October 24-28, 2004, Vancouver, BC, Canada, 294-304. Validating structural properties of nested objectsBibtex
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases.Dolby, J.; Fokoue, A.; Kalyanpur, A.; Ma, L.; Schonberg, E.; Srinivas, K.; and Sun, X.2008.In The Semantic Web - ISWC 2008, 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008. Proceedings, 403-418. Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge BasesBibtex
Summarizing application performance from a components perspective.Srinivas, K., and Srinivasan, H.2005.In Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2005, Lisbon, Portugal, September 5-9, 2005, 136-145. Summarizing application performance from a components perspectiveBibtex
OWL Reasoning in the Real World: Searching for Godot.Srinivas, K.2009.In Proceedings of the DL Home 22nd International Workshop on Description Logics (DL 2009), Oxford, UK, July 27-30, 2009. OWL Reasoning in the Real World: Searching for GodotBibtex
A View of OWL From the Field: Use-cases and Experiences.Kershenbaum, A.; Fokoue, A.; Patel, C.; Welty, C. A.; Schonberg, E.; Cimino, J. J.; Ma, L.; Srinivas, K.; Schloss, R. J.; and Murdock, J. W.2006.In Proceedings of the OWLED*06 Workshop on OWL: Experiences and Directions, Athens, Georgia, USA, November 10-11, 2006. A View of OWL From the Field: Use-cases and ExperiencesBibtex
Scalable Semantic Retrieval through Summarization and Refinement.Dolby, J.; Fokoue, A.; Kalyanpur, A.; Kershenbaum, A.; Schonberg, E.; Srinivas, K.; and Ma, L.2007.In Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, Vancouver, British Columbia, Canada, 299-304. Bibtex
A key problem in ontology alignment is that different ontological features (e.g., lexical, structural or semantic) vary widely in their importance for different ontology comparisons. In this paper, we present a set of principled techniques that exploit user feedback to customize the alignment process for a given pair of ontologies. Specifically, we propose an iterative supervised-learning approach to (i) determine the weights assigned to each alignment strategy and use these weights to combine them for matching ontology entities; and (ii) determine the degree to which the information from such matches should be propagated to their neighbors along different relationships for collective matching. We demonstrate the utility of these techniques with standard benchmark datasets and large, real-world ontologies, showing improvements in F-scores of up to 70% from the weighting mechanism and up to 40% from collective matching, compared to an unweighted linear combination of matching strategies without information propagation.
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Abstract: