By Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)
This quantity comprises revised and prolonged models of papers offered on the 4th variation of the foreign workshop on allotted and Agent-based Retrieval Toos (DART'10) held in June 2010, along side the Symposium on Human Language expertise for the knowledge Society, in Geneva, Swizerland. Practitioners and researchers engaged on pervasive and clever entry to internet providers and allotted details retrieval met to proportion their effects and insights in exciting and tough subject matters reminiscent of: (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 intensive the explicit subject, offers a accomplished evaluate of similar paintings and state-of-the-art, within the wish of this quantity to be of use within the years yet to come, to either researchers and students.
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Additional resources for Advances in Distributed Agent-Based Retrieval Tools
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. We deem that ProDaMa-C can be very effective in the task of generating datasets according to specific constraints on protein structure.
This task is very difficult and time-consuming as it typically requires to search for, retrieve and combine protein data, preprocess and analyze them with suitable specialized tools, while overcoming the limitations concerning the migration of data. Despite the huge increase of biological data and sources, the distinctive feature in integrating biological data is mainly concerned with the complexity of available data rather than with their amount . In the literature several and specialized solutions have been proposed to deal with the problem of integrating biological sources.
A special thanks goes to Stefano Curatti, for his help in implementing the web application. References 1. : GenBank. Nucleic Acids Research 27(1), 12–17 (1998) 2. : The Protein Data Bank. Nucleic Acids Research 28, 235– 242 (2000) 3. : Protein secondary structure prediction based on position-specific scoring matrices. Journal of Molecular Biology 292, 192–202 (1999) 4. : Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.
Advances in Distributed Agent-Based Retrieval Tools by Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)