SPIRE 2012 - 19th Symposium on String Processing and Information Retrieval

For the SPIRE 2012 main conference we welcome either long papers (12 pages) or short papers (6 pages). Submissions must be anonymous and formatted using the Springer LNCS style. At least three reviewers will evaluate each paper in double-blind mode based on its originality, quality, methodological robustness, and significance of theoretical and/or practical contribution. Papers must be in English, must be unpublished, and for the entire duration of the SPIRE 2012 reviewing process cannot be under submission either at another conference or at a journal.
All papers will be refereed according to the usual scientific standards. Accepted papers will appear in the Proceedings published by Springer Verlag in the Lecture Notes in Computer Science series, which will be distributed to all delegates at the symposium. By submitting a paper, its authors commit to having the paper presented at the conference by at least one of them; an accepted paper will not be published in the proceedings, and will thus be removed from the program, if none of its authors have registered for the conference by the time (July 30, 2012) the camera-ready copy of the paper is due.
The scope of the SPIRE series of symposia includes not only fundamental algorithms in in string processing and information retrieval, but also application areas such computational biology, DNA sequencing, and Web mining. Given its interdisciplinary nature, SPIRE offers a unique opportunity for researchers from these different areas to meet and network. Because of this reason interdisciplinary papers are encouraged. Typical topics of interest include, but are not limited to:
String Processing: Dictionary algorithms, Text searching, Pattern matching, Text and sequence compression, Succinct and compressed indexing, Automata-based string processing;
Biological Sequence Processing: Analysis of DNA and RNA sequencing data, Molecular sequence processing, Recognition of genes and regulatory elements, Comparative genomics and population genetics;
Information Retrieval: Information retrieval models, Indexing, Ranking and filtering, Interface design for IR, Evaluation issues in IR, Text analysis, Text mining, Text classi fication and clustering, Information extraction, Language models and topic models for search related-tasks, Efficient implementation of IR systems, Algorithms and data structures for IR;
Search-related tasks: Cross-lingual information retrieval, Multimedia / multi-modal information retrieval, Recommendation and collaborative filtering, Semi-structured data retrieval, Blog retrieval.