Policy Compliant Integration of Linked Data
Overview
The ubiquity of computing technology and the Internet have created an age of big data that has the potential to greatly enhance the efficiency of our societies and the well-being of all people. The trend comes with problems that threaten to prevent or undermine the benefits. An immediate concern is how to fuse, integrate and analyze data while respecting privacy, security and usage concerns. A second issue is allowing data to remain distributed, enabling its owners to maintain and control quality as well as to enforce security and privacy policies. access and usage policies A final underlying challenge is helping to produce sound and useful results by assuring that systems understand the meaning of the data being integrated and analyzing. For some domains, like health informatics and clinical research, solving these problems will have a significant impact on society.
This multi-university collaborative project will explore an approach to solving these problems by developing a policy-compliant integration system for Linked Data. The system will model data, schemas and policies using open Web standards such as Semantic Web languages, federate queries to independent Linked Data stores based on content, provide policy enforcement by modifying incompliant queries, and use formal methods to guarantee correctness of key components. It will demonstrate the result on a realistic example involving the integration and analysis of healthcare information.
Publications
- Primal Pappachan, Roberto Yus, Prajit Kumar Das, Sharad Mehrotra, Tim Finin and Anupam Joshi, Building a Mobile Applications Knowledge Base for the Linked Data Cloud, 1st Workshop on Mobile Deployment of Semantic Technologies, 14th Inernational Semantic Web Conference, Oct. 12, 2015.
- Primal Pappachan, Roberto Yus, Prajit Kumar Das, Sharad Mehrotra, Tim Finin and Anupam Joshi, Mobipedia: A Knowledge Base for Mobile Applications, (demo paper), 14th Inernational Semantic Web Conference, Oct. 11, 2015.
- Donald F. Norris, Anupam Joshi and Tim Finin, Cybersecurity Challenges to American State and Local Governments, 15th European Conference on eGovernment (ECEG 2015), University of Portsmouth, UK, 18-19 June 2015.
- Donald F. Norris, Anupam Joshi and Tim Finin, Cyber-Security at the Grassroots: American State and Local Governments and the Management of Website Security, Annual Conference of the Urban Affairs Association, Miami, FL, April 2015.
- Roberto Yus, Primal Pappachan, Prajit Kumar Das, Tim Finin, Anupam Joshi and Eduardo Mena, Semantics for Privacy and Shared Context, Proc. 2nd Workshop on Society, Privacy and the Semantic Web - Policy and Technology, CEUR vol. 1316, co-located with 13th Int. Semantic Web Conf., Trento IT, 20 Oct. 2014.
- Primal Pappachan, Roberto Yus, Anupam Joshi and Tim Finin, Rafiki: A Semantic and Collaborative Approach to Community Health-Care in Underserved Areas, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, 22-15 October2014, Miami.
- Primal Pappachan, Roberto Yus, Prajit Kumar Das, Tim Finin, Eduardo Mena, and Anupam Joshi, A Semantic Context-Aware Privacy Model for FaceBlock, Workshop on Society, Privacy and the Semantic Web - Policy and Technology, held at Int. Semantic Web Conf., Oct. 2014.
- A. Padia, T. Finin and A. Joshi, Attribute-based Fine Grained Access Control for Triple Stores, Privon Workshop, ISWC, Oct. 2015.
- Huseyin Ulusoy, Murat Kantarcioglu, Erman Pattuk, and Lalana Kagal, "AccountableMR: Toward Accountable MapReduce systems", IEEE Big Data 2015 (under review)
- Jyothsna Rachapalli, Vaibhav Khadilkar, Murat Kantarcioglu, Bhavani M. Thuraisingham: Towards fine grained RDF access control ACM SACMAT 2014:165-176
- Huseyin Ulusoy, Murat Kantarcioglu, Erman Pattuk, and Kevin Hamlen: Vigiles: Fine-grained Access Control for MapReduce Systems IEEE 3rd International Congress on Big Data 2014.
- Oshani Seneviratne, and Lalana Kagal, Enabling Privacy Through Transparency, Twelfth Annual Conference on Privacy, Security, and Trust, Toronto, Canada, July 2014.
- Safwan Mahmud Khan, Kevin W. Hamlen, and Murat Kantarcioglu. Silver Lining: Enforcing secure information flow at the cloud edge. In Proceedings of the 2nd IEEE Conference on Cloud Engineering (IC2E), pp. 37-46, March 2014.
- Safwan Mahmud Khan. Decentralizing Trust: New Security Paradigms for Cloud Computing Ph.D. Thesis (Advisor: Dr. Kevin Hamlen), The University of Texas at Dallas, Richardson, Texas, December 2013.
- A Semantic Framework for Content-based Access Controls Paradesi, Sharon, Liccardi, Ilaria, Kagal, Lalana, and Pato, Joseph ASE/IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT), September 2013
- Policy Enforcement Framework for Cloud Data Management Hamlen, Kevin W., Kagal, Lalana, and Kantarcioglu, Murat IEEE Data Engineering Bulletin (DEB), Special Issue on Security and Privacy in Cloud Computing, March 2013
- Sharon Myrtle Paradesi, "Policy Aware Social Miner", Master of Science thesis, Massachusetts Institute of Technology, Jan 2013
- Yotam Aron, "Information Privacy for Linked Data", Master of Engineering in Electrical Engineering and Computer Science thesis, Dec 2012
Team
- Timothy W Finin, UMBC
- Kevin Hamlen, UT Dallas
- Anupam Joshi, UMBC
- Lalana Kagal, MIT
- Murat Kantarcioglu, UT Dallas
- Latifur R Khan, UT Dallas
