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NTSS 2011 : 1st International Workshop on New Trends in Similarity Search | |||||||||||||||
Link: https://sites.google.com/site/ntss2011/ | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS
========================================================================= 1st International Workshop on NEW TRENDS IN SIMILARITY SEARCH (NTSS 2011) in conjunction with 14th International Conference on Extending Database Technology (EDBT 2011) Uppsala, Sweden March 25, 2011 URL: https://sites.google.com/site/ntss2011/ http://tinyurl.com/ntss2011 ========================================================================= ******SUBMISSION DEADLINE: Jan 24, 2011****** http://www.easychair.org/conferences/?conf=ntss2011 ========================================================================= SCOPE ========================================================================= In this workshop, we seek papers addressing novel problems that arise in real world applications of similarity search. Similarity Search is an active area of research with large advances in numeric space similarity search over the last two decades. However, many real world applications deal with complex objects that have attributes of many different types - numeric, string, categorical, set valued etc. The prevalence of large amounts of non-numeric data necessitates designing of new similarity measures, indexing techniques and querying techniques. This includes addressing the challenge of efficiently performing similarity search on various attribute types leveraging different kinds of index structures. We also seek papers addressing similarity search on probabilistic and streaming data. TOPICS OF INTEREST ========================================================================= Similarity Measures Similarity Measures for heterogeneous attribute types (e.g., set values, numeric, string, categorical, time series etc.) Similarity Measures that lead to metric spaces, arbitrary metric spaces, non-metric or (dis)similarity spaces Learning of similarity Measures (e.g., using partially specified supervised information, relevance feedback, active learning etc.) Aggregation of attribute similarities to object similarities (e.g., weighted sum type monotonic aggregates, and non-monotonic aggregates) Indexing for Similarity Search Indexes for various similarity measures and aggregation functions Indexes for handling heterogeneous attributes (e.g., certain objects could have a combination of numeric, categorical, string and set-valued attributes) Indexing for various similarity operators Queries for Similarity Search Top-k, Skyline, Reverse kNN, Reverse Skyline, Range Queries Other novel operators for Similarity Search Complex Similarity Queries Approximate Similarity Search Scalability (dataset size, number of dimensions etc.) and Performance Studies Clustering for Similarity Search Practical Experiences Similarity Search in Relational Database Systems Leveraging traditional SQL style queries for Similarity Search Distributed and Parallel Similarity Search Novel and Domain-Specific Applications of Similarity Search Similarity Search on Uncertain Databases Similarity Search on Streaming Data KEYNOTE TALK ========================================================================= Similarity Search in Uncertain Databases MATTHIAS RENZ Ludwig-Maximilians-Universität München, Germany IMPORTANT DATES ========================================================================= Manuscripts Due: Jan 24, 2011 Notification: Feb 14, 2011 Camera Ready Due: Feb 20, 2011 SUBMISSION GUIDELINES ========================================================================= We welcome original, unpublished manuscripts of upto 6 pages (2 column format) inclusive of all references and figures. Vision papers and descriptions of work-in-progress are welcomed as short paper submissions (4 pages). Papers must be written in English, and formatted according to ACM SIG proceedings templates. Proceedings to be published by ACM and indexed by DBLP and ACM DL. Submission Website: http://www.easychair.org/conferences/?conf=ntss2011 RESOURCES ========================================================================= A list of datasets with links has been put together at https://sites.google.com/site/ntss2011/datasets ORGANIZING COMMITTEE ========================================================================= Workshop Chairs: Prasad Deshpande, IBM Research - India Deepak P, IBM Research - India Steering Committee: Gautam Das, University of Texas at Arlington, USA Raghu Krishnapuram, IBM Research - India Program Committee: Reza Akbarinia, INRIA, France Reynold CK Cheng, University of Hong Kong, Hong Kong Peer Kröger, Ludwig-Maximilians-Universität München, Germany Patrick Lambrix, Linköping University, Sweden Debapriyo Majumdar, IBM Research - India Karin Murthy, IBM Research – India Evaggelia Pitoura, University of Ioannina, Greece Martin Theobald, Max-Planck-Institut für Informatik, Germany Demetris Zeinalipour, University of Cyprus, Cyprus |
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