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Distributed manufacturing, where decentralized small, local sites are engaged in production, often supported by digital systems and networks, can be a powerful tool in humanitarian aid. Field Ready uses distributed manufacturing to produce essential non-food items locally where they are needed during humanitarian responses. Such supplies can be available to communities in need and to relief workers...
Recommender systems assist users in the daunting task of sifting through large amounts of data in order to select relevant information or items. Unfortunately, such systems may be subject to attack by malicious users who want to manipulate the system's recommendations to suit their needs: to promote their own (or demote a competitor's) product/service, or to cause disruption in the recommender system...
The decisive political and economic modifications operated at a global level added to the accelerated digitization process in which modern society lives originate the construction of a new ecosystem in which the organized masses have a fundamental role. This process of change invites reflection on the new collaborative trends that emerge within a rebellious society that doesn't find economic support...
This paper illustrates the spaces, tribes and experiences within the Maker community. Using a theoretical framework of learning ecology and communities of practice, we illustrate and provide the context of Making, Maker Faires and Mini-Maker Faires, and Makers' experiences. We contribute a proposed taxonomy by which makerspaces can be categorized. We begin to compare Makers in our Southwest region...
Current research environments are witnessing high enormities of presentations occurring in different sessions at academic conferences. This situation makes it difficult for researchers (especially juniors) to attend the right presentation session(s) for effective collaboration. In this paper, we propose an innovative venue recommendation algorithm to enhance smart conference participation. Our proposed...
The emerging empirical literature on Open Source communities indicates that a majority of code writing and communication activity is concentrated with a few contributors, the “core” (maintainers). However, these communities allow and encourage participation from anybody, the “periphery”. The focus of this work is on explaining how distributed communities solve software problems through the participation...
In this paper we provide some insights of 10 C's of Social Networking (SNg) which is an extension of so far reported 6 C's. These C's are Community, Connection, Communication, Collaboration, Common experience, Creativity, Coaching, Competition, Content, and finally Commerce or Social commerce. All these 10 C's are one way or another are related as chain of activities with each other. For example,...
In this paper we present the ongoing research project Kodin-Kfz. Kodin-Kfz is the abbreviation for “Kollaboratives Diagnosenetzwerk für die Kfz-Servicearbeit” (Collaborative Diagnosis Network for Car Services). The main objective of this project is to connect motor mechanics within an internet-based community to collaboratively solve technical problems in a diagnostic context that could not be solved...
This communication reports on an experiment to create and maintain a community of practices in the sector of philanthropy. After defining such communities, and recalling its advantages, the paper describes how internet can support these communities and illustrates this point of view with the presentation of a real case, running for two years in Canada.
Most of trustworthy web service selection simply focus on individual reputation and ignore the collaboration reputation between services. To enhance the collaboration trust during web service selection, a reputation model called collaboration reputation is proposed. The reputation model is built on web service collaboration network(WSCN), which is constructed in terms of the composite service execution...
I explore patterns in regard to community based research and development in the water supply and sanitation sector. I set a bibliometric analysis, covering the 1998-2008 period, by means of applying a framework based on three factors: productivity, collaboration, and research topics, which are analyzed at global and country level. Results show: a) Northern countries are the most productive ones; b)...
The overload of information makes it too time consuming for common users to find what they really want in time. But it is easier for an expert to seek the related information he wants because of his rich search experiences and domain knowledge. Based on above idea and our previous works, we redesign our recommendation method, which can utilize experts' experiences to recommend experts' search histories...
This paper presents a novel approach from a perspective of considering community structures to collaborative filtering. In our approach, multiple types of information are be explored and exploited, including item content, user demography, use-item ratings, use-item structure and user social information. Leveraging the types of information, we apply multiple techniques from data mining, including multi-relational...
Collaborative filtering is an important personalized recommendation technique applied widely in E-commerce. It is not adapted to multi-interest or title recommendation for the 'general neighbourhood' problem which is analyzed in this paper. Based on it, collaborative filtering recommendation based on community is presented by introducing the concept 'community neighbourhood' in the paper. Unfortunately,...
Research in ontology management has reached a certain level of maturity, however, there is still little understanding of, and technological support for, the methodological and evolutionary aspects of ontologies as resources. Yet these are crucial in distributed and collaborative worlds such as the Semantic Web, where ontologies and their communities of use naturally and mutually co-evolve. Through...
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