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its authors commit to having the paper presented at the conference by at least one of them; an accepted paper will not be published in the proceedings, and will thus be removed from the programme, if none of its authors have registered for the conference by the time the camera-ready copy of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 (June 26th, 2015).


Submission

Submission is via easychair.

Important Dates

Abstract deadline: May 1st, 2015 May 8th, 2015 (Anywhere in the world)
Paper deadline: May 15th, 2015 (Anywhere in the world)
Notification: June 20th, 2015
Camera-ready due: June 26th, 2015
Early registration: July 15th, 2015
Main conference: September 1st - September 3rd, 2015
Workshops: 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

    •