Workshop Program
Sunday, September 11th, 2005
(not scheduled) | Cluster Analysis of Railway Directory Inquire Dialogs M. Alexandrov, E. Sanchis, and P. Rosso [paper] |
12:00-12:30 | Fast LSI-based Techniques for Query Expansion in Text Retrieval Systems L. Laura, U. Nanni, and F. Sarracco [paper] [slides] |
12:30-13:00 | A Fast and Simple Path Index Based Retrieval Approach for Graph-Based Semantic Descriptions M. Lux and M. Granitzer [paper] [slides] |
13:00-13:30 | Density-based Cluster Algorithms in Low-dimensional and High-dimensional Applications B. Stein and M. Busch [paper] [slides] |
13:30-14:30 | Lunch break |
14:30-15:00 | CLIR-based Method for Attribute Correspondences Identification in Schema Integration H. Wang, Y. Tong, S. Tan, S. Tang, and D. Yang [paper] |
15:00-15:30 | TIRA - Text based Information Retrieval Architecture Y. Ai, R. Gerling, M. Neumann, Ch. Nitschke, and P. Riehmann [paper] |
15:30-16:00 | On Web-based Plagiarism Analysis A. Kleppe, D. Braunsdorf, Ch. Loessnitz, and S. Meyer zu Eissen [paper] [slides] |
16:00-16:30 | Coffee |
18:00-??:?? | BBQ on campus for all workshop participants |
The entire Proceedings (~ 8MB)
Call for Papers
Being in the age of information—so to speak: information flooding—intelligent technologies for information mining and retrieval have become an important as well as exciting field of research. In this connection, methods of text-based information retrieval receive special attention, which results from the fundamental role of written text, but also because of the high availability of the Internet. E.g., information retrieval methods have the potential to improve the quality of the standard keyword search; moreover, they strike a path to the new developments from the field of the Semantic Web. In this sense, text-based information retrieval can be regarded as the heart of many IR applications.
There are various techniques and methods being used for text-based information retrieval tasks, which stem from different research areas: machine learning algorithms, models from computer linguistics and psychology, paradigms from the field of user interaction and modeling, or algorithms for information visualization. The development of powerful retrieval tools requires the combination of these developments, and in this sense the workshop shall provide a platform that spans the different views and approaches.
The following list gives examples from classic and ongoing topics from the field of text-based information retrieval for which contributions are welcome (but not restricted to):
- document models and similarity measures for special retrieval tasks
- automatic category formation in document corpora, search results, etc.
- topic identification and auto-abstracting: characterization of documents by keywords
- plagiarism analysis: identification and evaluation of similar text sections
- ontologies and the Semantic Web: analysis of annotated texts (RDF, RDFS, DAML+OIL); usage, construction, and maintenance of ontologies for retrieval tasks, OWL
- cross-language retrieval, multilingual retrieval, and machine translation for IR
- concepts and techniques for information visualization, user modeling, and interaction in the context of particular retrieval tasks
- link analysis and Web dynamics
- relevance feedback and personalization
- evaluation; construction of test collections; user studies
In particular, we would like to encourage potential participants to present (prototypic) implementations of their ideas. Contributions can be submitted in English or German.
Submission Guideline
Research papers submitted to TIR-05 must consist of original contributions. Submissions must generally be in electronic form using the Portable Document Format (PDF) or Postscript. It is the responsibility of authors to ensure that their papers use no unusual format features and are printable on a standard Postscript printer.
Author information
Submitted papers must not exceed 15 pages and should conform to Springer LNCS style. Papers must be written in English. At least one author of each accepted paper must register for the conference and present the contribution.
Submit a contribution
Please send your paper to tir@webis.de