Peer-to-peer (P2P) technology has triggered a wide range of distributed applications including file-sharing, distributed XML databases, distributed computing, server-less web publishing and networked resource/service sharing. Despite of the diversity in application, these systems share common requirements for searching due to transitory nodes population and content volatility. In such dynamic e...

In this paper a market where a buyer (job seeker) is searching in a known order among sellers (e.g. a motorist driving along a road looking for gasoline) is described. Both sellers and buyers are assumed to behave strategically. There are many types of buyers. The sellers know only the distribution of all possible buyers; similarly, buyers have imperfect information about sellers. The analysis ...

MOTIVATION BioPAX is a standard language for representing complex cellular processes, including metabolic networks, signal transduction and gene regulation. Owing to the inherent complexity of a BioPAX model, searching for a specific type of subnetwork can be non-trivial and difficult. RESULTS We developed an open source and extensible framework for defining and searching graph patterns in Bi...

SUMMARY We present PARSEC (PAtteRn Search and Contextualization), a new open source platform for guided discovery, allowing localization and biological characterization of short genomic sites in entire eukaryotic genomes. PARSEC can search for a sequence or a degenerated pattern. The retrieved set of genomic sites can be characterized in terms of (i) conservation in model organisms, (ii) genomi...

Asynchronous parallel pattern search (APPS) is a nonlinear optimization algorithm that dynamically initiates actions in response to events, rather than cycling through a fixed set of search directions, as is the case for synchronous pattern search. This gives us a versatile concurrent strategy that allows us to effectively balance the computational load across all available processors. However,...

This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to exist­ ing representations, some insights are gained into a design approach for integrating cate­ gorical and uncertain knowledge in a context­ sensitive...