Advances in Distributed Agent-Based Retrieval Tools by Manuela Angioni, Emanuela De Vita (auth.), Vincenzo

By Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)

This quantity includes revised and prolonged types of papers provided on the 4th version of the overseas workshop on dispensed and Agent-based Retrieval Toos (DART'10) held in June 2010, along with the Symposium on Human Language expertise for the knowledge Society, in Geneva, Swizerland. Practitioners and researchers engaged on pervasive and clever entry to net companies and dispensed details retrieval met to proportion their effects and insights in fascinating and tough issues corresponding to: (i) social media and collaboration, (ii) new demanding situations in seek expertise, (iii) sentiment research and opinion mining, (iv) dispensed info retrieval, (v) pervasive intelligence. each bankruptcy, prior to discussing extensive the categorical subject, provides a entire assessment of similar paintings and cutting-edge, within the wish of this quantity to be of use within the future years, to either researchers and students.

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Armano and A. Manconi Fig. 8 A screenshot showing the web area associated to the knowledge repository of a project. relevant projects related to their research interests. Anonymous users have access to a limited set of functionalities. In particular, although with full access to all project resources, they cannot update them. 4 Discussion Devised and developed to facilitate the work of researchers engaged to generate specialized protein strucuture datasets, ProDaMa-C is a tool able to address a wide range of problems.

ProDaMa: an open source Python library to generate protein structure datasets. BMC Research Notes 2, 202 (2009) 17. : The PDBFINDER database: a summary of PDB, DSSP and HSSP information with added value. Bioinformatics 12(6), 525–529 (1996) 18. : Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 22(12), 2577–2637 (1983) 19. : The HSSP database of protein structuresequence alignments. Nucleic Acids Research 25(1), 226–230 (1997) 20.

Dictionaries are static and often incomplete resources, and they do not provide frequency information. For the acquisition of translational contexts, any multilingual parallel corpus can be used. It is thus possible to focus on a special domain. Furthermore, the automatic alignment provides us with frequency information for every translation pair, useful for handling ambiguity. 3 Translational Context We rely on automatic word alignment in parallel corpora to find the most probable translation pairs.

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