Knowledge Engineering

Seminar Intelligent Information Systems








Semester:Winter 2013/14
Lecturer:Dr. Lena Wiese
Course type:Seminar
ECTS (SWS):5 ECTS (2 SWS)
Date:First Meeting: 24.10.2013, 10:00, room 1.101
Presentations: 12.2.2014, 9:30-16:00, room: 3.101
AudienceApplied Computer Science MSc
Applied Computer Science BSc
ITIS MSc




Deadlines









Submission of title page:14.11.2013
Submission of glossary:28.11.2013
Submission of essay (first version):16.1.2014
Submission of presentation (first version):16.1.2014
Registration in FlexNow:23.1.2014
Block seminar (live presentations):12.2.2014(presence in Göttingen required!)
Submission of essay (final version):18.2.2014
Submission of presentation (final version):18.2.2014


Description

Intelligent Information Systems cover recommendation systems, decision making systems, case-based reasoning systems, multi-agent systems, information retrieval and much more. In this seminar we discuss selected topics on information systems that intelligently assist users in managing and retrieving data.


Requirements

Preparation of a presentation (duration 35 minutes) and an essay (length 20 pages) on a topic chosen in the first meeting.

List of topics

-Alexandra Meliou, Wolfgang Gatterbauer, Joseph Y. Halpern, Christoph Koch, Katherine F. Moore, and Dan Suciu.
Causality in Databases.
IEEE Data Eng. Bull., 33(3), 59-67. 2010.

-Wenchao Zhou, Ling Ding, Andreas Haeberlen, Zachary Ives, and Boon Thau Loo.
TAP: Time-aware provenance for distributed systems.
Proc. USENIX Workshop on the Theory and Practice of Provenance (TaPP). 2011.

-Léauté, Thomas, and Boi Faltings.
Protecting Privacy through Distributed Computation in Multi-agent Decision Making.
Journal of Artificial Intelligence Research 47 (2013): 649-695.

-Patrick Pantel, Eric Crestan, Arkady Borkovsky, Ana-Maria Popescu, and Vishnu Vyas.
Web-Scale Distributional Similarity and Entity Set Expansion.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2. Association for Computational Linguistics, 2009.

+David Sánchez, Montserrat Batet, David Isern, and Aida Valls.
Ontology-based semantic similarity: A new feature-based approach.
Expert Systems with Applications, 39(9), 7718-7728. 2012.

-Tong Wang, and Graeme Hirst.
Refining the notions of depth and density in WordNet-based semantic similarity measures.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2011.

-Katja Niemann, and Martin Wolpers.
A New Collaborative Filtering Approach for Increasing the Aggregate Diversity of Recommender Systems.
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2013.

-Saúl Vargas and Pablo Castells.
Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems.
Proceedings of the fifth ACM conference on Recommender systems. ACM, 2011.

-Gediminas Adomavicius and YoungOk Kwon.
Maximizing Aggregate Recommendation Diversity: A Graph-Theoretic Approach.
Proc of RecSys' 11 Intl. Workshop on Novelty and Diversity in Recommender Systems. 2011.

-Panagiotis Adamopoulos and Alexander Tuzhilin.
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected.
Proc of RecSys' 11 Intl. Workshop on Novelty and Diversity in Recommender Systems. 2011.

-Hendrik Decker.
Consistent Explanations of Answers to Queries in Inconsistent Knowledge Bases.
ExaCt. 2011.

-R. Uday Kiran and Masaru Kitsuregawa.
An Improved Neighborhood-Restricted Association Rule-based Recommender System.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013.

-D. J. Abadi, A. Marcus , S.R. Madden, and K. J. Hollenbach.
Scalable semantic web data management using vertical partitioning.
VLDB, 2007

-Lyublena Antova, Christoph Koch, and Dan Olteanu.
10ˆ(10ˆ6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information.
The VLDB Journal—The International Journal on Very Large Data Bases 18.5 (2009): 1021-1040

-Ravi Gummadi, Anupam Khulbe, Aravind Kalavagattu, Sanil Salvi, and Subbarao Kambhampati.
SMARTINT: Using Mined Attribute Dependencies to Integrate Fragmented Web Databases.
Journal of Intelligent Information Systems 38.3 (2012): 575-599.