Porqpine: a peer-to-peer search engine

In this paper, we present a fully distributed and collaborative search engine for web pages: Porqpine. This system uses a novel query-based model and collaborative filtering techniques in order to obtain user-customized results. All knowledge about users and profiles is stored in each user node?s application. Overall the system is a multi-agent system that runs on the computers of the user community. The nodes interact in a peer-to-peer fashion in order to create a real distributed search engine where information is completely distributed among all the nodes in the network. Moreover, the system preserves the privacy of user queries and results by maintaining the anonymity of the queries? consumers and results? producers. The knowledge required by the system to work is implicitly caught through the monitoring of users actions, not only within the system?s interface but also within one of the most popular web browsers. Thus, users are not required to explicitly feed knowledge about their interests into the system since this process is done automatically. In this manner, users obtain the benefits of a personalized search engine just by installing the application on their computer. Porqpine does not intend to shun completely conventional centralized search engines but to complement them by issuing more accurate and personalized results.Postprint (published version

Finding Relevant Answers in Software Forums

Abstract—Online software forums provide a huge amount of valuable content. Developers and users often ask questions and receive answers from such forums. The availability of a vast amount of thread discussions in forums provides ample opportunities for knowledge acquisition and summarization. For a given search query, current search engines use traditional information retrieval approach to extract webpages containin

Scholarly Journals on the Net: A Reader's Assessment

published or submitted for publicatio

Europeana communication bug: which intervention strategy for a better cooperation with creative industry?

Although Europeana as well as many GLAMs are very engaged - beside the main mission, i.e. spreading cultural heritage knowledge- in developing new strategies in order to make digital contents reusable for creative industry, these efforts have been successful just only in sporadic cases. A significant know how deficits in communication often compromises expected outcomes and impact. Indeed, what prevails is an idea of communication like an enhancement “instrument” intended on the one hand in purely economic (development) sense, on the other hand as a way for increasing and spreading knowledge. The main reference model is more or less as follows: digital objects are to be captured and/or transformed by digital technologies into sellable goods to put into circulation. Nevertheless, this approach risks neglecting the real nature of communication, and more in detail the one of digital heritage where it is strategic not so much producing objects and goods as taking part into sharing environments creation (media) by engaged communities, small or large they may be. The environments act as meeting and interchange point, and consequently as driving force of enhancing. Only in a complex context of network interaction on line accessible digital heritage contents become a strategic resource for creating environments in which their re/mediation can occur – provided that credible strategies exist, shared by stakeholders and users. This paper particularly describes a case study including proposals for an effective connection among Europeana, GLAMs and Creative Industry in the framework of Food and Drink digital heritage enhancement and promotion. Experimental experiences as the one described in this paper anyway confirm the relevance of up-to-date policies based on an adequate communication concept, on solid partnerships with enterprise and association networks, on collaborative on line environments, on effective availability at least for most of contents by increasing free licensing, and finally on grassroots content implementation involving prosumers audience, even if filtered by GLAMs

A Literature Survey of Cooperative Caching in Content Distribution Networks

Content distribution networks (CDNs) which serve to deliver web objects (e.g., documents, applications, music and video, etc.) have seen tremendous growth since its emergence. To minimize the retrieving delay experienced by a user with a request for a web object, caching strategies are often applied - contents are replicated at edges of the network which is closer to the user such that the network distance between the user and the object is reduced. In this literature survey, evolution of caching is studied. A recent research paper [15] in the field of large-scale caching for CDN was chosen to be the anchor paper which serves as a guide to the topic. Research studies after and relevant to the anchor paper are also analyzed to better evaluate the statements and results of the anchor paper and more importantly, to obtain an unbiased view of the large scale collaborate caching systems as a whole.Comment: 5 pages, 5 figure

Modeling and Evaluation of Multisource Streaming Strategies in P2P VoD Systems

In recent years, multimedia content distribution has largely been moved to the Internet, inducing broadcasters, operators and service providers to upgrade with large expenses their infrastructures. In this context, streaming solutions that rely on user devices such as set-top boxes (STBs) to offload dedicated streaming servers are particularly appropriate. In these systems, contents are usually replicated and scattered over the network established by STBs placed at users' home, and the video-on-demand (VoD) service is provisioned through streaming sessions established among neighboring STBs following a Peer-to-Peer fashion. Up to now the majority of research works have focused on the design and optimization of content replicas mechanisms to minimize server costs. The optimization of replicas mechanisms has been typically performed either considering very crude system performance indicators or analyzing asymptotic behavior. In this work, instead, we propose an analytical model that complements previous works providing fairly accurate predictions of system performance (i.e., blocking probability). Our model turns out to be a highly scalable, flexible, and extensible tool that may be helpful both for designers and developers to efficiently predict the effect of system design choices in large scale STB-VoD system