Advances in Distributed Agent-Based Retrieval Tools (Studies in Computational Intelligence, 361)

As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception.This monograph deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. First, the core building blocks of Internet Science and other related networking aspects are introduced. Then, data mining and control problems are addressed. In the first class two issues are considered: predictive modeling of traffic load as well as summarization of traffic flow measurements. The second class, control, includes active queue management schemes for Internet routers as well as window based end-to-end rate and congestion control. The practical hardware implementation of some of the fuzzy inference systems proposed here is also addressed. While some theoretical developments are described, we favor extensive evaluation of models using real-world data by simulation and experiments. This volume contains revised and extended versions of papers presented at the 4th edition of the international workshop on Distributed and Agent-based Retrieval Tools (DART'10) held in June 2010, in conjunction with the Symposium on Human Language Technology for the Information Society, in Geneva, Switzerland. Practitioners and researchers working on pervasive and intelligent access to web services and distributed information retrieval met to share their results and insights in intriguing and challenging topics such as: (i) social media and collaboration, (ii) new challenges in search technology, (iii) sentiment analysis and opinion mining, (iv) distributed information retrieval, (v) pervasive intelligence. Every chapter, before discussing in depth the specific topic, presents a comprehensive review of related work and state of the art, in the hope of this volume to be of use in the years to come, to both researchers and students. Front Matter....Pages - Rethinking Search Engines in Social Network Vision....Pages 1-12 A Collaborative Web Application for Supporting Researchers in the Task of Generating Protein Datasets....Pages 13-26 RefGen : Identifying Reference Chains to Detect Topics....Pages 27-40 Synonym Acquisition across Domains and Languages....Pages 41-57 Linguistically-Based Reranking of Google’s Snippets with GreG....Pages 59-79 Opinion Mining and Sentiment Analysis Need Text Understanding....Pages 81-95 Sentiment Analysis of French Movie Reviews....Pages 97-108 Query Building in a Distributed Semantic Indexing System....Pages 109-128 Building Distributed and Pervasive Information Management Systems with HDS....Pages 129-142 Sensor Mining for User Behavior Profiling in Intelligent Environments....Pages 143-158 Motivating Serendipitous Encounters in Museum Recommendations....Pages 159-167 Back Matter....Pages -