Publications

 Books

  1. Akerkar, R. (eds) AI, Data, and Digitalization. SAIDD 2023. Communications in Computer and Information Science, vol 1810. Springer, Cham. DOI 10.1007/978-3-031-53770-7

  2. Akerkar, R. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Akerkar, Rajendra (Ed.) Springer International Publishing, DOI 10.1007/978-3-030-48099-8, 2020

  3. Akerkar, R. Models of Computation for Big Data, SpringerBriefs in Advanced Information and Knowledge Processing, Springer International, 2018.

  4. Akerkar, R. Artificial Intelligence for Business, Springerbrief in Business, Springer International, 2019.

  5. Akerkar, R. and Priti Sajja. Intelligent Techniques for Data Science, Springer International Publishing, DOI 10.1007/978-3-319-29206-9, 2016.

  6. Akerkar, R. Big Data Computing, (Edited) Taylor & Francis Group/CRC Press, ISBN 978‐1‐46‐657837‐1, 2013.

  7. Akerkar, R. and Priti Sajja. Intelligent Technologies for Web Application, Taylor & Francis, USA, ISBN 9781439871621, 2012. (with Priti Sajja)

  8. Akerkar, R. and Priti Sajja. Knowledge Based Systems, Jones & Bartlett Publisher (USA), ISBN 9780763776473, 2010. (with Priti Sajja)

  9. Akerkar, R. Foundations of the Semantic Web, Narosa Publishing House, New Delhi & Alfa Science International, London, ISBN 978‐81‐7319‐985‐1, 2009.

Edited volumes

  1. Rajendra Akerkar. (Ed.) Proceedings of International Symposium on AI, Data and Digitalization. Vestlandsforsking, ISBN 978-82-428-0457-0, May 2023.

  2. Richard Chbeir, Yannis Manolopoulos, Rajendra Akerkar and Jolanta Mizera-Pietraszko. Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, WIMS 2020, New York, NY, USA.

  3. Rajendra Akerkar and Jason J. Jung. Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, 2019, New York, NY, USA.

  4. Rajendra Akerkar, Mirjana K Ivanović, Sangwook Kim, Y. Manolopoulos, Riccardo Rosati, Miloš Savić, Costin Bădică, Milos Radovanovic. Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, 2018, New York, NY, USA.

  5. Rajendra Akerkar, Michel Plantié and François Trousset. (Guest Editors) Special Issue on Web Intelligence, Mining and Semantics (WIMS’16);  International Journal on Artificial Intelligence Tools. Volume: 26, Number: 02 (April 2017) 

  6. Rajendra Akerkar, Laurent Vercouter & Pierre Maret. Special Issue on Web Intelligent and Communities, In Web Intelligence  Journal, 2017. 

  7. Special issue on Human Centred Design, International Journal of Human-Computer Studies (Elsevier), 2016.

  8. Rajendra Akerkar, Laurent Vercouter & Pierre Maret. Web Intelligent and Communities, WWW’16 Companion, Florence, Italy. ACM 978-1-4503-3473-0/15/05, 2015.

  9. Rajendra Akerkar, Michel Plantié, Sylvie Ranwez, Sébastien Harispe, Anne Laurent, Patrice Bellot, Jacky Montmain, François Trousset. (Ed.) Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'16). ICPS ACM Digital Library published by the Association for Computing Machinery, June 13- 15 2016, Nîmes, France. [ISBN 978-1-4503-4056-4]

  10. Rajendra Akerkar, Vadim Ermolayev & Nick Bassiliades. Special Issue on Web Intelligence, Mining and Semantics. International Journal on Artificial Intelligence Tools, Vol. 24, No. 2, pp 1-6, 2015.

  11. Rajendra Akerkar, Laurent Vercouter & Pierre Maret. Web Intelligent and Communities, WWW’15 Companion, Florence, Italy. ACM 978-1-4503-3473-0/15/05, 2015

  12. Rajendra Akerkar, Pierre Maret and Laurent Vercouter (Ed.). Proceedings of the International Workshop on Web Intelligence & Communities(WI&C14)  ICPS ACM Digital Library published by the Association for Computing Machinery, 2014.

  13. Rajendra Akerkar, Nick Bassiliades, John Davies, and Vadim Ermolayev (Ed.). Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'14). ICPS ACM Digital Library published by the Association for Computing Machinery, June 02 - 04 2014, Thessaloniki, Greece. [ISBN 978-1-4503-2538-7]

  14. Pierre Maret, Satoshi Honda, Rajendra Akerkar, Fuyuki Ishikawa, Takuro Yonezawa, Till Riedel.  International Workshop on Web Intelligence and Smart Sensing. Proceedings of the International Workshop on Web Intelligence and Smart Sensing, Lyon, France. ISBN: 978-1-4503-2747-3

  15. Zhihua Cui, Rajan Alex, Rajendra Akerkar, and Xin-She Yang. Recent Advances on Bioinspired Computation. The Scientific World Journal. Volume 2014 (2014).

  16. Big Data Computing, Taylor & Francis Group/CRC Press, ISBN 978-1-46-657837-1, 2013.

  17. Rajendra Akerkar, Pierre Maret and Laurent Vercouter (Ed.) Special Issue on Web Intelligence and Communities, International Journal of Web Intelligence and Agent Systems, IOS Press, ISSN 1570-1263, Dec. 2013.

  18. Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'13) (Ed.) ICPS ACM Digital Library published by the Association for Computing Machinery, 2013 [ISBN 978-1-4503-1850-1]

  19. Rajendra Akerkar, Pierre Maret and Laurent Vercouter (Ed.). Proceedings of the International Workshop on Web Intelligence & Communities (WI&C13)  ICPS ACM Digital Library published by the Association for Computing Machinery, 2013 [ISBN 978-1-4503-2038-2]

  20. Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'12) (Ed.) ICPS ACM Digital Library published by the Association for Computing Machinery, 2012 [ISBN: 978-1-4503-0915-8]

  21. Proceedings of the International Workshop on Web Intelligence & Communities (WI&C12) (Ed.) ICPS ACM Digital Library published by the Association for Computing Machinery, 2012 [ISBN: 978-1-4503-1189-2]

  22. Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'11) (Ed.) ICPS ACM Digital Library published by the Association for Computing Machinery, 2011 [ISBN: 978-1-4503-0148-0]

Research articles

2024

  1. Senarath, Y., Purohit, H., Akerkar, R. (2024). Violence-Inducing Behavior Prevention in Social-Cyber Space. In: Akerkar, R. (eds) AI, Data, and Digitalization. SAIDD 2023. Communications in Computer and Information Science, vol 1810. Springer, Cham. https://doi.org/10.1007/978-3-031-53770-7_10.

  2. Minsung Hong, Sojung An, Rajendra Akerkar, David Camacho & Jason J. Jung. Cross-cultural contextualisation for recommender systems. J Ambient Intell Human Comput 15, 1659–1670 (2024). https://doi.org/10.1007/s12652-019-01479-9.

  3. Waage, M., Weinbach, B.C., Larsen, Ø.H. (2024). Digital and AI Maturity of Enterprises in Sogn Og Fjordane, a Rural Region of Norway. In: Akerkar, R. (eds) AI, Data, and Digitalization. SAIDD 2023. Communications in Computer and Information Science, vol 1810. Springer, Cham. https://doi.org/10.1007/978-3-031-53770-7_13.

  4. Dante Della Vella, Hoang Long Nguyen and Rajendra Akerkar. The Utility of Community Resilience Models for the Prevention of Online Violence. (Accepted for ISCRAM 2024)

  5. Dante Della Vella, Carol Azungi Dralega, Torborg Igland and Rajendra Akerkar. Reflections on Incorporating RRI Goals into Online Violence Prevention Research. (Accepted for poster presentation at the AFINO International Conference, Oslo, August 2024.)

2023

  1. A. Jain, R. Akerkar and A. Srivastava, "Privacy-Preserving Human Activity Recognition System for Assisted Living Environments," in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2023.3323272.

  2. Hoang Long Nguyen, Salvatore Antonio Marchese, Valentino Gandolfo, Leonardo Luca Trombetta, Massimo Cristaldi, Uberto Delprato & Rajendra Akerkar (2023). Web-Based Tool to Facilitate Resilience-Related Information Management. In: Gjøsæter, T., Radianti, J., Murayama, Y. (eds) Information Technology in Disaster Risk Reduction. ITDRR 2022. IFIP Advances in Information and Communication Technology, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-031-34207-3_23.

  3. Yasas Senarath, Hemant Purohit and Rajendra Akerkar. Violence-inducing Behaviour Prevention in Social-Cyber Space. In Proceedings of Symposium on AI, Data and Digitalization SAIDD 2023, Sogndal, Norway. ISBN 978-82-428-0457-0, May 2023.

  4. Malin Waage, Bjørn Christian Weinbach and Øyvind Heimseth Larsen. The digital Maturation of Businesses in Sogn og Fjordane. In Proceedings of Symposium on AI, Data and Digitalization SAIDD 2023, Sogndal, Norway. ISBN 978-82-428-0457-0, May 2023.

  5. Malin Waage and Bjørn Christian Weinbach. Collaboration Approach for Improving Data Readiness in SMEs. In Proceedings of Symposium on AI, Data and Digitalization SAIDD 2023, Sogndal, Norway. ISBN 978-82-428-0457-0, May 2023.

  6. Charles Robinson, Rajendra Akerkar, Djamila Aouada, Alessandra Bagnato, Miklós Györffi, Michael Henshaw, Peter Gorm Larsen, Carles Hernandez Luz, Hugo Daniel Macedo, Claudio Pastrone, Peter Popov, Claudio Sassanelli, Marcus Völp and Thorsten Weyer. Bridging the stakeholder communities that produce cyber-physical systems. Belgium: HiPEAC 2023, ISBN 9789078427032.

2022

  1. Sajja, Priti Srinivas and Rajendra A. Akerkar. "Fuzzy Ontology for Requirements Determination and Documentation During Software Development." Research Anthology on Agile Software, Software Development, and Testing, edited by Information Resources Management Association, IGI Global, 2022, pp. 726-745. http://doi:10.4018/978-1-6684-3702-5.ch037.

  2. X. Song, H. Zhang, R. Akerkar, H. Huang, S. Guo, L. Zhong, Y. Ji, A. L. Opdahl, H. Purohit, A. Supkin, A. Pottathil, A. Culotta, "Big Data and Emergency Management: Concepts, Methodologies, and Applications," in IEEE Transactions on Big Data, vol. 8, no. 2, pp. 397-419, 1 April 2022, doi: 10.1109/TBDATA.2020.2972871.

  3. E. Zhou, Z. Hong, Y. Xiao, D. Zhao, Qingqi Pei, S. Guo and R. Akerkar, "MSTDB: A Hybrid Storage-Empowered Scalable Semantic Blockchain Database" in IEEE Transactions on Knowledge & Data Engineering, vol. , no. 01, pp. 1-17, 5555. doi: 10.1109/TKDE.2022.3220522.

  4. J. Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar, "Adaptive Federated Learning on Non-IID Data with Resource Constraint" in IEEE Transactions on Computers, vol. 71, no. 7, pp. 1655-1667, July 2022. doi: 10.1109/TC.2021.3099723.

2021

  1. Van An Le, Tien Thanh Le, Phi Le Nguyen, Huynh Thi Thanh Binh, Rajendra Akerkar and Yusheng Ji. GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network. 2021 IEEE International Conference on Communications (ICC): SAC Big Data. IEEE ICC'21. Montreal, Canada, 2021.

  2. Defan Feng, Yu Mo, Zhiyao Tang, Quanjun Chen, Haoran Zhang, Rajendra Akerkar & Xuan Song. Data-driven hospital personnel scheduling optimization through patients prediction. CCF Trans. Pervasive Comp. Interact. 3, 40–56 (2021). https://doi.org/10.1007/s42486-020-00052-0.

  3. Qihua Zhou; Zhihao Qu; Song Guo; Boyuan Luo; Jingcai Guo; Zhenda Xu; Rajendra Akerkar. "On-device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective," in IEEE Internet of Things Journal, vol. 8, no. 15, pp. 11916-11934, 1 Aug.1, 2021, doi: 10.1109/JIOT.2021.3063147.

  4. Hoang Long Nguyen, Yasas Senarath, Hemant Purohit and Rajendra Akerkar. Towards a Design of Resilience Data Repository for Community Resilience. ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management. Blacksburg, VA.

  5. C. Robinson, Alessandra Bagnato, C. Pastrone, T. Weyer, P. Popov, H. D. Macedo, C. Sassanelli, P. G. Larsen, C. H. Luz, M. Henshaw, C. Buron, R. Akerkar, M. Györffi. Bridging the stakeholder communities that produce cyber-physical systems. HiPEAC Vision 2021 : High performance embedded architecture and compilation (Ed. M. Duranton et al). ISBN 9789078427025. 20-29, 2021.

2020

  1. Nguyen, H.L.; Akerkar, R. Modelling, Measuring, and Visualising Community Resilience: A Systematic Review. Sustainability 2020, 12, 7896.

  2. Xuan Song, Haoran Zhang, Rajendra A. Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas Lothe Opdahl, Hemant Purohit, Andre Supkin, Akshay Pottathil, Aron Culotta. "Big data and emergency management: Concepts, methodologies, and applications". In IEEE Transactions on Big Data, 2020.

  3. Yi Liu, Minsung Hong, Rajendra Akerkar. Automatic and Incremental Keyword Expansion from Social Media Data in Disaster. Vol. 28 No. 1 (2020): Proceedings of the NOKOBIT conference 24-25th of November 2020.

  4. Akerkar R., Hong M. (2020) Introduction to Emergency Management. In: Akerkar R. (eds) Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer, Cham. https://doi.org/10.1007/978-3-030-48099-8_1.

  5. Hong M., Akerkar R. (2020) Learning Algorithms for Emergency Management. In: Akerkar R. (eds) Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer, Cham. https://doi.org/10.1007/978-3-030-48099-8_3.

  6. Nguyen H.L., Akerkar R. (2020) Emergency Information Visualisation. In: Akerkar R. (eds) Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data. Springer, Cham. https://doi.org/10.1007/978-3-030-48099-8_8.

  7. Hoang Long Nguyen, Minsung Hong and Rajendra Akerkar. Exploring AI-Enabled Use Cases for Societal Security and Safety. AI for Social Good - AAAI Fall Symposium 2020.

2019

  1. Minsung Hong and Rajendra Akerkar (2019), Victim Detection Platform in IoT Paradigm, Concurrency and Computation: Practice and Experience; DOI: 10.1002/cpe.5254.

  2. Hoang Long Nguyen and Rajendra Akerkar. Leveraging big data technologies for community resilience. Vol. 27 No. 1 (2019): Proceedings from the annual NOKOBIT conference held in Narvik 26-27 November 2019.

  3. Minsung Hong and Rajendra Akerkar (2019), Analytics and Evolving Landscape of Machine Learning for Emergency Response. G. A. Tsihrintzis et al. (eds.), Machine Learning Paradigms, Learning and Analytics in Intelligent Systems 1, pp. 351-397. Springer, Cham; DOI: 10.1007/978-3-030-15628-2_11. https://doi.org/10.1007/978-3-030-15628-2_11.

  4. Akerkar R., Hong M. (2019), Unlocking Value from Ubiquitous Data. In: Ermolayev V., Suárez-Figueroa M., Yakovyna V., Mayr H., Nikitchenko M., Spivakovsky A. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2018. Communications in Computer and Information Science 1007, Springer; DOI: 10.1007/978-3-030-13929-2_1.

  5. Minsung Hong, Rajendra Akerkar, and Jason J. Jung (2019), Improving Explainability of Recommendation System by Multi-sided Tensor Factorization, Cybernetics and Systems 50, no. 2, pp. 97-117; DOI: 10.1080/01969722.2019.1565119.

  6. Timothy Schempp, Haoran Zhang, Alexander Schmidt, Minsung Hong, and Rajendra Akerkar (2019), A framework to integrate social media and authoritative data for disaster relief detection and distribution optimization, International Journal of Disaster Risk Reduction (2019): 101143; DOI: 10.1016/j.ijdrr.2019.101143.

  7. Sajja, P.S. and Akerkar, R.A. “Fuzzy ontology for requirements determination and documentation during software development”, in Vishnu Pendyala (Ed.), Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, Chapter 2, pp.21-24, IGI Global Book Publishing, Hershey, PA, USA (Dec’19)

  8. Ning Xu, Qiong Zhang, Minsung Hong, Rajendra Akerkar, and Liang Yongtu, Global Optimization for Multi-Stage Construction of Rescue Units in Disaster Response, Sustainable Cities and Society, 2019 (Available online 12 August 2019).

  9. Hoang Long Nguyen and Jason J. Jung. "Social event decomposition for constructing knowledge graph." Future Generation Computer Systems 100 (2019): 10-18.

  10. Minsung Hong and Rajendra Akerkar. Improving Resilience to Extreme Events. 4th European Climate Change Adaptation conference (ECCA 2019), CCB, Lisbon | 28–31 May 2019.

2018

  1. Akerkar, R. Privacy and Security in Data-Driven Urban Mobility. (Eds.)  J. Darmont & S. Loudcher,  Utilizing Big Data Paradigms for Business Intelligence, IGI Global, 2018.

  2. T. Li, Xuan Song, S.-C. Chen, R. Shibasaki, R. Akerkar “Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events”, IEEE Trans. Multimedia 20(10): 2547-2550, 2018.

  3. Akerkar, R. Addressing Barriers and Opportunities Engendered by Big Data in Transport: The LeMO Project. 2nd Symposium on Management of Future motorway and urban Traffic Systems, Ispra, 2018.

  4. Dirk Ahlers, Rajendra Akerkar, John Krogstie, Andreas L. Opdahl, Bjørnar Tessem and Weiqing Zhang.  Harnessing Mobility Data in Cities: A Case Study From the Bergen Region. NIKT 2018, Svalbard, 18-20 Sept.

  5. Timothy Schempp, Haoran Zhang, Minsung Hong, Alexander Schmidt and Rajendra Akerkar. An Integrated Crowdsourced Framework for Disaster Relief Distribution. 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM’2018), Japan.

  6. Sajja, Priti Srinivas and Rajendra Akerkar. Deep Learning for Big Data Analytics. In Nature-Inspired Algorithms for Big Data Frameworks, ed. Hema Banati, Shikha Mehta and Parmeet Kaur, 1-21 (2019), accessed September 14, 2018. doi:10.4018/978-1-5225-5852-1.ch001

  7. Akerkar, R. Unlocking Value from Ubiquitous Data. (Keynote talk) Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference, Kyiv, Ukraine, May 14-17, 2018.

2017

  1. Akerkar, R. Processing Big Data for Emergency Management. (Ed.) Liu, Zhi, and Kaoru Ota. Smart Technologies for Emergency Response and Disaster Management. 1-316 (2018), accessed April 17, 2017. doi:10.4018/978-1-5225-2575-2.

  2. Maret, Pierre; Akerkar, Rajendra; Vercouter, Laurent. Virtual communities, a typology. Web Intelligence: an international journal 2017; Volum 15 (3) s. 185-187

  3. Rajendra Akerkar, Michel Plantié, and François Trousset, Editorial. Int. J. Artif. Intell. Tools 26, 1702002 (2017) DOI: http://dx.doi.org/10.1142/S021821301702002X 

2016

  1. G. Vega-Gorgojo, R. Fjellheim, D. Roman, R. Akerkar, A Waaler. Big data in the Oil & Gas upstream industry, Oil Gas European Magazine, 2016. (Accepted for publication)

  2. Maret, Pierre; Akerkar, Rajendra; Vercouter, Laurent. Web Communities in Big Data Era. Editorial. I: Proceedings of the 25th International Conference on World Wide Web. ACM Digital Library 2016 ISBN 978-1-4503-4144-8.

2015

  1. Rajendra Akerkar, Laurent Vercouter & Pierre Maret. Web Intelligent and Communities, WWW’15 Companion, Florence, Italy. ACM 978-1-4503-3473-0/15/05, 2015.

  2. Rajendra Akerkar, Vadim Ermolayev & Nick Bassiliades. Editorial. International Journal on Artificial Intelligence Tools, Vol. 24, No. 2, pp 1-6, (2015)

  3. Rajendra Akerkar, Towards an Intelligent Integrated Approach for Clinical Decision Support. I: Managing Big Data Integration in the Public Sector. IGI Global 2015. s. 187-205.

2014

  1. Rajendra Akerkar, Pierre Maret, & Laurent Vercouter. Exploring Intelligence of Web Communities. WWW’14 Companion, Seoul, Korea. ACM 978-1-4503-27459/14/04, 2014. dx.doi.org/10.1145/2567948.2578842.

  2. Zhihua Cui, Rajan Alex, Rajendra Akerkar, and Xin-She Yang. Recent Advances on Bioinspired Computation. The Scientific World Journal, vol. 2014, Article ID 934890, 2014. doi:10.1155/2014/934890.

  3. Rajendra Akerkar (2014) Analytics on big aviation data: turning data into insights. Intern J of Computer Science & Applications, Vol. 11, No. 3, pp 116-127.

  4. Rajendra Akerkar, Nick Bassiliades, John Davies, and Vadim Ermolayev. Research and Applications in Web Intelligence, Mining, and Semantics. Proceedings of WIMS '14, June 02 - 04 2014, Thessaloniki, Greece. dx.doi.org/10.1145/2611040.2611045

  5. Pierre Maret, Satoshi Honda, Rajendra Akerkar, Fuyuki Ishikawa, Takuro Yonezawa, Till Riedel. Editorial: International Workshop on Web Intelligence and Smart Sensing. Proceedings of the International Workshop on Web Intelligence and Smart Sensing, Lyon, France. ISBN: 978-1-4503-2747-3.

2013

  1. Priti S. Sajja and Rajendra Akerkar (2013), Bio-inspired Models for the Semantic Web (Edited by Xin-She Yang, Zhihua Chi, Renbin Xiao, and Amir Hossein Gandomi), Swarm Intelligence and Bio-Inspired Computation, Elsevier.

  2. Rajendra Akerkar (2013) Improving Data Quality on Big and High-Dimensional Data. Journal of Bioinformatics and Intelligent Control, Vol. 2, No. 1, pp 155-162 (8), 2013. (Invited paper)

  3. Vadim Ermolayev, Rajendra Akerkar, Vagan Terziyan, Michael Cochez. (2013) Towards Evolving Knowledge Ecosystems for Big Data Understanding. (Ed. R. Akerkar), Big Data Computing, Taylor & Francis Group/CRC Press, ISBN 978-1-46-657837-1.

  4. Rajendra Akerkar (2013) Advanced Data Analytics for Business.  (Ed. R. Akerkar), Big Data Computing, Taylor & Francis Group/CRC Press, ISBN 978-1-46-657837-1.

  5. David Camacho, Maria D. R-Moreno and Rajendra Akerkar (2013) Challenges and Issues of Web Intelligence Research. Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'13), ACM-ICPS, (ISBN 978-1-4503-1850-1)

  6. Rajendra Akerkar, Pierre Maret and Laurent Vercouter. Research topics on web intelligence and communities, An International Journal of Web Intelligence and Agent Systems, pp 299-302, DOI 10.3233/WIA-130276, Volume 11, Number 4 / 2013

2012

  1. Rajendra Akerkar, Pierre Maret, Laurent Vercouter (2012) Web intelligence and communities, Proceedings of the 4th International Workshop on Web Intelligence & Communities, ACM-ICPS (ISBN: 978-1-4503-1189-2).

  2. Rajendra Akerkar, Costin Badica, and Dumitru Dan Burdescu (2012) Desiderata for Research in Web Intelligence, Mining and Semantics, Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'12), ACM-ICPS, (ISBN 978-1-4503-0915-8)

  3. Terje Aaberge and Rajendra Akerkar (2012) Ontology and Ontology Construction: Background and Practices, International Journal of Computer Science & Applications, Vol. 9, No. 2.

  4. Priti S. Sajja and Rajendra Akerkar (2013),  Mining Sentiment using conversation ontology,  (Eds. Patricia Ordóñez de Pablos, Héctor Oscar Nigro, Robert Tennyson, Sandra E. González Císaro, Waldemar Karwowski ) Advancing Information Management through Semantic Web Concepts and Ontologies, IGI Global Publishers, ISBN 978-1-4666-2494-8.

  5. Terje Aaberge and Rajendra Akerkar (2013) Ontology-based opinion mining (Eds. Patricia Ordóñez de Pablos, Héctor Oscar Nigro, Robert Tennyson, Sandra E. González Císaro, Waldemar Karwowski) Advancing Information Management through Semantic Web Concepts and Ontologies, IGI Global Publishers, ISBN 978-1-4666-2494-8.

  6. Rajendra Akerkar (2012)  Intelligent Systems: Perspectives and Research Challenges CSI Communications, pp 10-14, December 2012. (Position paper)

2011

  1. Rajendra Akerkar, Terje Aaberge (2011) Semantically linking virtual communities, (Eds. Christo El Morr & Pierre Maret) Virtual Community Building and the Information Society: Current and Future Directions, IGI Global Publishers,  ISBN 1609608690.

  2. Terje Aaberge, Rajendra Akerkar and Harold Boley (2011) An Intensional Perspective on the Semantic and Pragmatic Web, Int. J. Metadata, Semantics and Ontologies, 6 (1), 74-80.

  3. Kunjal Mankad, Priti Srinivas Sajja, Rajendra Akerkar, (2011), Evolving rules using genetic fuzzy approach - an educational case study. International Journal of Soft Computing, 2011

  4. Kunjal Mankad, Priti Srinivas Sajja, Rajendra Akerkar, (2011) An Automatic Evolution of Rules to Identify Students' Multiple Intelligence, (Eds. N. Meghanathan et al.) Proceedings of International Conference on Computer Science & Information Technology (CCSIT-2011), Springer (LNCS) in Communications in Computer and Information Science (CCIS) Series, CCIS 133, pp. 35-45, 2011.

2010 

  1. Priti Srinivas Sajja, Rajendra Akerkar, (2010) Explanation generation in intelligent tutoring system, Research@ICT: International Journal of Information and Computing Technology, vol.1, no.1, pp.1-11 (2010).

  2. R. A. Akerkar (2010), Improving the Accuracy & Efficiency of the K-Means Clustering Method, Journal of Hybrid Computing Research, Vol. 3, No. 2, 2010.

  3. R. A. Akerkar (2010), Knowledge Extraction using Ontology and Agent, International workshop on agent technologies, Dortmund, Germany.

  4. R. A. Akerkar (2011), Ontology: Fundamentals and Languages, (Ed. Sugumaran, V. and J. A. Gulla) Applied Semantic Web Technologies, ISBN 1439801568, Taylor & Francis.

  5. Rajendra Akerkar (2010). Interactive digital TV services in India, International Workshop on Interactive Digital TV in Emergent Countries (EuroITV2010.), Finland. (Invited position paper)

  6. Rajendra Akerkar and Priti Srinivas Sajja (2010). A neuro-fuzzy decision support system for selection of small scale business, (E. Hüllermeier, R. Kruse, and F. Hoffmann (Eds.)): Proceedings of IPMU 2010, Part II, CCIS 81, pp. 306–315, 2010, Springer-Verlag Berlin Heidelberg 2010.07.02

  7. R. A. Akerkar and Priti S. Sajja (2010), Knowledge based systems for development, TMRF e-Book, Vol. 1, pp 1-11 (ISBN 978-81-908426-0-0).

  8. R. A. Akerkar and Priti S. Sajja (2010), Generic Multilayer Architecture of Knowledge-Based System for Structured Knowledge Representation, Journal of Hybrid Computing, Vol. 3, No. 1, 2010.

  9. R. A. Akerkar and Carol Azungi Dralega (2010), ICT Based Health-Care: Research and Development Challenges, 97th Indian Science Congress. India. (Invited Talk).