Penn State Clinical and Translational Science Institute (CTSI)

  • Postal address

    United States

Filter
Conference contribution

Search results

  • Integrated decision algorithms for auto-steered electric transmission system asset management

    McCalley, J., Honavar, V., Ryan, S., Meeker, W., Qiao, D., Roberts, R., Li, Y., Pathak, J., Ye, M. & Hong, Y., 2007, Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. Springer Verlag, p. 1066-1073 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4487 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    3 Scopus citations
  • Integration of domain-specific and domain-independent ontologies for colonoscopy video database annotation

    Bao, J., Cao, Y., Tavanapong, W. & Honavar, V., 2004, Proceedings of the International Conference on Information and Knowledge Engineering, IKE'04. Arabnia, H. R. (ed.). p. 82-88 7 p. (Proceedings of the International Conference on Information and Knowledge Engineering , IKE'04).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • Intelligent agents for intrusion detection

    Helmer, G. G., Wong, J. S. K., Honavar, V. & Miller, L., 1998, 1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998. Institute of Electrical and Electronics Engineers Inc., p. 121-124 4 p. 713396. (1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998; vol. 1998-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    99 Scopus citations
  • Intelligent mobile agents for information retrieval and knowledge discovery from distributed data and knowledge sources

    Yang, J., Honavar, V., Miller, L. & Wong, J., 1998, 1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998. Institute of Electrical and Electronics Engineers Inc., p. 99-102 4 p. 713391. (1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998; vol. 1998-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    34 Scopus citations
  • Is providing mobile interventions "just-in-time" helpful? an experimental proof of concept study of just-in-time intervention for stress management

    Smyth, J. M. & Heron, K. E., Dec 1 2016, 2016 IEEE Wireless Health, WH 2016. Institute of Electrical and Electronics Engineers Inc., p. 89-95 7 p. 7764561. (2016 IEEE Wireless Health, WH 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    30 Scopus citations
  • Labeling actors in multi-view social networks by integrating information from within and across multiple views

    Bui, N., Le, T. & Honavar, V., 2016, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Ak, R., Karypis, G., Xia, Y., Hu, X. T., Yu, P. S., Joshi, J., Ungar, L., Liu, L., Sato, A-H., Suzumura, T., Rachuri, S., Govindaraju, R. & Xu, W. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 616-625 10 p. 7840654. (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Labeling actors in social networks using a heterogeneous graph kernel

    Bui, N. & Honavar, V., Jan 1 2014, Social Computing, Behavioral-Cultural Modeling, and Prediction - 7th International Conference, SBP 2014, Proceedings. Springer Verlag, p. 27-34 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8393 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Learning classifiers for misuse and anomaly detection using a bag of system calls representation

    Kang, D. K., Fuller, D. & Honavar, V., 2005, Proceedings from the Sixth Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC 2005. p. 118-125 8 p. 1495942. (Proceedings from the 6th Annual IEEE System, Man and Cybernetics Information Assurance Workshop, SMC 2005; vol. 2005).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    93 Scopus citations
  • Learning classifiers from chains of multiple interlinked RDF data stores

    Lin, H. T. & Honavar, V., 2013, Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013. p. 94-101 8 p. 6597124. (Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • Learning classifiers from distributed, ontology-extended data sources

    Caragea, D., Zhang, J., Pathak, J. & Honavar, V., 2006, Data Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings. Springer Verlag, p. 363-373 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4081 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Learning classifiers from distributional data

    Lin, H. T., Lee, S., Bui, N. & Honavar, V., 2013, Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013. p. 302-309 8 p. 6597151. (Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Learning classifiers from large databases using statistical queries

    Koul, N., Caragea, C., Honavar, V., Bahirwani, V. & Caragea, D., Dec 1 2008, Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. p. 923-926 4 p. 4740577. (Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies

    Lin, H. T., Bui, N. & Honavar, V., Dec 22 2015, Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015. Luo, F., Ogan, K., Zaki, M. J., Haas, L., Ooi, B. C., Kumar, V., Rachuri, S., Pyne, S., Ho, H., Hu, X., Yu, S., Hsiao, M. H-I. & Li, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1807-1813 7 p. 7363953. (Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Learning classifiers using hierarchically structured class taxonomies

    Wu, F., Zhang, J. & Honavar, V., 2005, Abstraction, Reformulation and Approximation - 6th International Symposium, SARA 2005, Proceedings. Springer Verlag, p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3607 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    37 Scopus citations
  • Learning Decision Tree Classifiers from Attribute Value Taxonomies and Partially Specified Data

    Zhang, J. & Honavar, V., 2003, Proceedings, Twentieth International Conference on Machine Learning. Fawcett, T. & Mishra, N. (eds.). p. 880-887 8 p. (Proceedings, Twentieth International Conference on Machine Learning; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    53 Scopus citations
  • Learning DFA from simple examples

    Parekh, R. & Honavar, V., 1997, Algorithmic Learning Theory - 8th International Workshop, ALT 1997, Proceedings. Li, M. & Maruoka, A. (eds.). Springer Verlag, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1316).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    16 Scopus citations
  • Learning in presence of ontology mapping errors

    Koul, N. & Honavar, V., Dec 13 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010. p. 291-296 6 p. 5616569. (Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Learning link-based classifiers from ontology-extended textual data

    Caragea, C., Caragea, D. & Honavar, V., Dec 1 2009, ICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence. p. 354-361 8 p. 5364346. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Learning link-based naïve bayes classifiers from ontology-extended distributed data

    Caragea, C., Caragea, D. & Honavar, V., Dec 1 2009, On the Move to Meaningful Internet Systems: OTM 2009 - Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009, Proceedings. PART 2 ed. p. 1139-1146 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5871 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning ontology-Aware classifiers

    Zhang, J., Caragea, D. & Honavar, V., 2005, Discovery Science - 8th International Conference, DS 2005, Proceedings. Springer Verlag, p. 308-321 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3735 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations
  • Learning relational Bayesian classifiers from RDF data

    Lin, H. T., Koul, N. & Honavar, V., 2011, The Semantic Web, ISWC 2011 - 10th International Semantic Web Conference, Proceedings. PART 1 ed. p. 389-404 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7031 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • Learning Support Vector Machines from distributed data sources

    Caragea, C., Caragea, D. & Honavar, V., 2005, Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05. Vol. 4. p. 1602-1603 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    16 Scopus citations
  • LMLFM: Longitudinal multi-level factorization machine

    Liang, J., Xu, D., Sun, Y. & Honavar, V., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 4811-4818 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Megan: A generative adversarial network for multi-view network embedding

    Sun, Y., Wang, S., Hsieh, T. Y., Tang, X. & Honavar, V., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 3527-3533 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    16 Scopus citations
  • MICCLLR: Multiple-instance learning using class conditional log likelihood ratio

    El-Manzalawy, Y. & Honavar, V., 2009, Discovery Science - 12th International Conference, DS 2009, Proceedings. p. 80-91 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5808 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations
  • Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection

    Abbas, M., Le, T., Bensmail, H., Honavar, V. & El-Manzalawy, Y., Aug 15 2018, ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 172-177 6 p. (ACM-BCB 2018 - Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • Minimum intervention cover of a causal graph

    Kandasamy, S., Bhattacharyya, A. & Honavar, V. G., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 2876-2885 10 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Model checking of qualitative sensitivity preferences to minimize credential disclosure

    Oster, Z. J., Santhanam, G. R., Basu, S. & Honavar, V., Jan 28 2013, Formal Aspects of Component Software - 9th International Symposium, FACS 2012, Revised Selected Papers. p. 205-223 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7684 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations
  • Modeling Web service composition using symbolic transition systems

    Pathak, J., Basu, S. & Honavar, V., Dec 1 2006, AI-Driven Technologies for Services-Oriented Computing - Papers from the AAAI Workshop, Technical Report. p. 44-51 8 p. (AAAI Workshop - Technical Report; vol. WS-06-01).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    14 Scopus citations
  • Modeling Web services by iterative reformulation of functional and non-functional requirements

    Pathak, J., Basu, S. & Honavar, V., 2006, Service-Oriented Computing - ICSOC 2006 - 4th International Conference, Proceedings. p. 314-326 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4294 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    24 Scopus citations
  • Modular ontologies - A formal investigation of semantics and expressivity

    Bao, J., Caragea, D. & Honavar, V. G., 2006, The Semantic Web - ASWC 2006 - First Asian Semantic Web Conference, Proceedings. Springer Verlag, p. 616-631 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4185 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    28 Scopus citations
  • MoSCoE: A framework for modeling web service composition and execution

    Pathak, J., Basu, S., Lutz, R. & Honavar, V., Jan 1 2006, ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops. Zhou, X. & Barga, R. S. (eds.). Institute of Electrical and Electronics Engineers Inc., 1623939. (ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Scopus citations
  • M-transportability: Transportability of a causal effect from multiple environments

    Lee, S. & Honavar, V., Dec 1 2013, Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. p. 583-590 8 p. (Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    16 Scopus citations
  • Multiagent System Solutions for Distributed Computing, Communications, and Data Integration Needs in the Power Industry

    Zhang, Z., McCalley, J. D., Vishwanathan, V. & Honavar, V., Dec 1 2003, 2003 IEEE Power Engineering Society General Meeting, Conference Proceedings. p. 44-47 4 p. (2003 IEEE Power Engineering Society General Meeting, Conference Proceedings; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • Multi-agent system solutions for distributed computing, communications, and data integration needs in the power industry

    Zhang, Z., McCalley, J. D., Vishwanathan, V. & Honavar, V., Dec 1 2004, 2004 IEEE Power Engineering Society General Meeting. p. 45-49 5 p. (2004 IEEE Power Engineering Society General Meeting; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    34 Scopus citations
  • Multi-instance multi-label learning for image classification with large vocabularies

    Yakhnenko, O. & Honavar, V., 2011, BMVC 2011 - Proceedings of the British Machine Vision Conference 2011. British Machine Vision Association, BMVA

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • Multi-modal hierarchical dirichlet process model for predicting image annotation and image-object label correspondence

    Yakhnenko, O. & Honavar, V., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 280-290 11 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    14 Scopus citations
  • Multinomial event model based abstraction for sequence and text classification

    Kang, D. K., Zhang, J., Silvescu, A. & Honavar, V., 2005, Abstraction, Reformulation and Approximation - 6th International Symposium, SARA 2005, Proceedings. Springer Verlag, p. 134-148 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3607 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Scopus citations
  • Multiple label prediction for image annotation with multiple kernel correlation models

    Yakhnenko, O. & Honavar, V., 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. IEEE Computer Society, p. 8-15 8 p. 5204274. (2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • Multi-view network embedding via graph factorization clustering and co-regularized multi-view agreement

    Sun, Y., Bui, N., Hsieh, T. Y. & Honavar, V., Feb 7 2019, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Li, Z., Tong, H., Zhu, F. & Yu, J. (eds.). IEEE Computer Society, p. 1006-1013 8 p. 8637384. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations
  • MUpstart-A constructive neural network learning algorithm for multi-category pattern classification

    Parekh, R., Yang, J. & Honavar, V., 1997, 1997 IEEE International Conference on Neural Networks, ICNN 1997. p. 1924-1929 6 p. 614193. (IEEE International Conference on Neural Networks - Conference Proceedings; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations
  • Object-oriented data warehouse for information fusion from heterogeneous distributed data and knowledge sources

    Miller, L., Honavar, V., Wong, J. & Nilakanta, S., 1998, 1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998. Institute of Electrical and Electronics Engineers Inc., p. 27-30 4 p. (1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998; vol. 1998-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    14 Scopus citations
  • Office worker response to fluorescent lamps of different CCT and lumen output

    Wei, M., Houser, K. W., Orland, B., Lang, D. H., Ram, N., Sliwinski, M. J. & Bose, M., 2013, AEI 2013: Building Solutions for Architectural Engineering - Proceedings of the 2013 Architectural Engineering National Conference. p. 554-563 10 p. (AEI 2013: Building Solutions for Architectural Engineering - Proceedings of the 2013 Architectural Engineering National Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • On context-specific substitutability of Web services

    Pathak, J., Basu, S. & Honavar, V., Dec 1 2007, Proceedings - 2007 IEEE International Conference on Web Services, ICWS 2007. p. 192-199 8 p. 4279599. (Proceedings - 2007 IEEE International Conference on Web Services, ICWS 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    46 Citations (SciVal)
  • On learning causal models from relational data

    Lee, S. & Honavar, V., Jan 1 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 3263-3270 8 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    16 Scopus citations
  • On-line self assembly

    Koul, N., Lathrop, J., Lutz, J. & Honavar, V., 2008, 5th Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2008. p. 224-228 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On the decidability of role mappings between modular ontologies

    Bao, J., Voutsadakis, G., Slutzki, G. & Honavar, V., 2008, AAAI-08/IAAI-08 Proceedings - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference. p. 400-405 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • On the mathematical modeling of the effect of treatment on human physical activity

    Ashour, M., Bekiroglu, K., Yang, C. H., Lagoa, C. M., Conroy, D., Smyth, J. M. & Lanza, S. T., Oct 10 2016, 2016 IEEE Conference on Control Applications, CCA 2016. Institute of Electrical and Electronics Engineers Inc., p. 1084-1091 8 p. 7587951. (2016 IEEE Conference on Control Applications, CCA 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Scopus citations
  • On the relationship between models for learning in helpful environments

    Parekh, R. & Honavar, V., 2000, Grammatical Inference: Algorithms and Applications - 5th International Colloquium, ICGI 2000, Proceedings. Oliveira, A. L. (ed.). Springer Verlag, p. 207-220 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1891).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • On the semantics of linking and importing in modular ontologies

    Bao, J., Caragea, D. & Honavar, V. G., 2006, The Semantic Web - ISWC 2006 - 5th International Semantic Web Conference, ISWC 2006, Proceedings. Springer Verlag, p. 72-86 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4273 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    41 Scopus citations