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SPIRE 2015 : Symposium on String Processing and Information RetrievalConference Series : String Processing and Information Retrieval | |||||||||||||||
Link: http://www.dcs.kcl.ac.uk/events/spire2015/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Call For Papers
SPIRE 2015 invites submissions in two categories: long papers (12 pages) and short papers (6 pages). Submissions should be anonymous and formatted using LNCS style. At least three reviewers will evaluate each paper based on its originality, quality and significance of theoretical and/or practical contribution, the validity and robustness of the used methodology, and the overall contribution to our understanding of the context of the work. 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. Papers should be submitted exclusively through the SPIRE 2015 paper submission Web site. 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its authors commit to having the paper presented at the conference by at least one of them; an accepted paper will not be published in the proceedings, and will thus be removed from the programme, if none of its authors have registered for the conference by the time the camera-ready copy of the paper is due (19 June, 2015). Submission Submission is via easychair. Important Dates Submission deadline: May 1st, 2015 Notification: June 5th, 2015 Camera-ready due: June 19th, 2015 Early registration: TBA Main conference: September 1st - September 3rd, 2015 Workshops: August 31st and September 4th, 2015 Topics Areas SPIRE 2015 covers research in all aspects of string processing, information retrieval, computational biology, pattern matching, semi-structured data, and related applications. Typical topics of interest include (but are not limited to): String Processing Text searching Pattern matching Text indexing Text data structures Data compression Compressed data structures Data mining Natural language processing Automata-based string processing Information Retrieval Retrieval models Indexing Evaluation Algorithms and data structures for IR Efficiency in IR systems Interface design Text classification and clustering Text analysis and mining Collaborative and content-based filtering Topic modeling for IR Search tasks (Web search, enterprise search, desktop search, legal search, cross-lingual retrieval, federated search, blog search, XML retrieval, multimedia retrieval) Digital libraries Computational Biology High-throughput DNA sequencing (assembly, read alignment, read error correction, metagenomics, transcriptomics, proteomics, et c.) Evolution and Phylogenetics Gene and regulatory element recognition Motif finding Protein structure prediction |
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