Supporting the Virtual Community: Social Bookmarking as a user- based Classification Scheme in a Knowledge Library

Knowledge libraries hold the promise of widespread access to information available anywhere, anytime, freeing patrons from the geographical and temporal boundaries that currently exist. The classification of materials and subsequent searching of knowledge library content is an overall problem with many complex parts. Relevant classification is important for optimal information retrieval. This is especially important for the virtual communities that exist with extended organizations. Rooted in the virtual community and digital library literature, this paper develops a theory for improving the information classification and retrieval process of knowledge libraries that support virtual communities by applying social bookmarking techniques

Enriching ontological user profiles with tagging history for multi-domain recommendations

Many advanced recommendation frameworks employ ontologies of various complexities to model individuals and items, providing a mechanism for the expression of user interests and the representation of item attributes. As a result, complex matching techniques can be applied to support individuals in the discovery of items according to explicit and implicit user preferences. Recently, the rapid adoption of Web2.0, and the proliferation of social networking sites, has resulted in more and more users providing an increasing amount of information about themselves that could be exploited for recommendation purposes. However, the unification of personal information with ontologies using the contemporary knowledge representation methods often associated with Web2.0 applications, such as community tagging, is a non-trivial task. In this paper, we propose a method for the unification of tags with ontologies by grounding tags to a shared representation in the form of Wordnet and Wikipedia. We incorporate individuals' tagging history into their ontological profiles by matching tags with ontology concepts. This approach is preliminary evaluated by extending an existing news recommendation system with user tagging histories harvested from popular social networking sites

Web collaboration for software engineering

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

Web 2.0 technologies for learning: the current landscape – opportunities, challenges and tensions: supplementary materials

These supplementary materials accompany the report ‘Web 2.0 technologies for learning: the current landscape – opportunities, challenges and tensions’, which is the first report from research commissioned by Becta into Web 2.0 technologies for learning at Key Stages 3 and 4. This report describes findings from the commissioned literature review of the then current landscape concerning learner use of Web 2.0 technologies and the implications for teachers, schools, local authorities and policy makers

Linking information and people in a social system for academic conferences

This paper investigates the feasibility of maintaining a social information system to support attendees at an academic conference. The main challenge of this work was to create an infrastructure where users’ social activities, such as bookmarking, tagging, and social linking could be used to enhance user navigation and maximize the users’ ability to locate two important types of information in conference settings: presentations to attend and attendees to meet. We developed Conference Navigator 3, a social conference support system that integrates a conference schedule planner with a social linking service. We examined its potential and functions in the context of a medium-scale academic conference. In this paper, we present the design of the system’s socially enabled features and report the results of a conference-based study. Our study demonstrates the feasibility of social information systems for supporting academic conferences. Despite the low number of potential users and the short timeframe in which conferences took place, the usage of the system was high enough to provide sufficient data for social mechanisms. The study shows that most critical social features were highly appreciated and used, and provides direction for further research

DJINN: Implementation and evaluation of implicit social bookmarking paradigm

Social bookmarking is a popular way to share and publish bookmarks. The growth of the social bookmarking community is creating a parallel resource for web searches. In this paper we present an approach called implicit social bookmarking, that creates a bridge between classical web searches initiated in a search engine and search in social bookmarks. Our approach allows a user to implicitly contribute to a social bookmarking system and benefit from other user searches, therefore improving the accuracy of results of web searches. This paper details our approach, presents a prototype implementation of the approach called DJINN, and presents two evaluations of the concept. We conclude with a discussion of our results and directions for future work.Key words: social bookmarking, collaborative filtering, tagging

USING EXTERNAL SOURCES TO IMPROVE RESEARCH TALK RECOMMENDATION IN SMALL COMMUNITIES

In academic research communities, a typical way to spread ideas or seek for collaboration is through research talks, which might be presented at departmental colloquia or might be in given at conferences. Given a large number of research talks, with some of them happening in parallel, it becomes increasingly harder to focus on those of that are of most interest. To solve this problem, talk recommendation systems can help academics identify the most useful talks among many. This dissertation investigates methods to improve research talk recommendations, both for conference attendees and for faculty and students at a research university. More specifically, the focus of this thesis is the use of external information about user interests as a way to address the challenges of having limited data about target users. The thesis examines several kinds of external sources such as user home page, bibliography, external bookmarks, and user profiles from external information systems and explores impact of this information on the quality of talk recommendation in a general situation and in a cold-start context. For this study, the dissertation uses data from two existing talk recommendation systems, CoMeT and Conference Navigator 3, and an academic paper search system, SciNet

Bibliothek 2.0 : Neue Perspektiven und Einsatzmöglichkeiten für wissenschaftliche Bibliotheken

Zunächst als Marketingbegriff geschaffen, ist der Neologismus „Web 2.0“ mittlerweile zum buzzword geworden, dem bis dato jedoch eine konkrete und eindeutige Definition fehlt. Zunehmend erlangt die Thematik des Web 2.0 große Aufmerksamkeit und beinahe täglich entstehen neue Applikationen, Anwendungen und Informationsdienstleistungen, die sich besonders durch eine kollaborative Entstehung und Nutzung von Informationen kennzeichnen – Schlagwörter wären hier u.a. Wikis, Weblogs oder RSS-Feeds. Wissenschaftliche Bibliotheken, die als Zentren von Informationsdienstleistungen dienen, dürfen sich vor dem externen wie internen Gebrauch und der Einbindung der Web 2.0-Techniken in ihre Institutionen nicht verschließen, sondern sollten gerade hier eine Vorreiterrolle einnehmen, um so das Geschehen auf diesem für sie potenziell immer wichtiger werdenden Sektor beeinflussen und mitgestalten zu können. In dieser Arbeit sollen solche wissenschaftlichen Bibliotheken vorgestellt werden, die in Bezug auf Web 2.0-Anwendungen bereits erste Erfahrungen gesammelt haben und nunmehr für weitere wissenschaftliche Bibliotheken eine Vorbildfunktion einnehmen können. Die dargestellten bibliothekarischen Beispiele zeigen, dass eine Wandlung und Anpassung an die neuen Anforderungen – seitens der Bibliotheksnutzer, aber auch und vor allem seitens der Bibliothekare – bereits begonnen hat. Im Einzelnen liegt hierbei das Hauptaugenmerk auf dem Kölner UniversitätsGesamtkatalog (KUG), dem Recommender-System BibTip in Karlsruhe, dem Weblog der UB Mannheim, der LMU München mit ihrer Schnittstelle zu Connotea und der internen Informationsplattform ISIS aus der SULB Saarbrücken. Ausgehend von diesen Beispielen aus der Praxis wird ferner ein genereller Blick gewagt, welche Fakten als Ursache für eine entstehende Bibliothek 2.0 gesehen werden können. Hierbei werden insbesondere die Auskunft, der Schulungskomplex und die Erschließung betrachtet, die von einem Umdenken und einer Umstrukturierung betroffen sein müssen, wobei für diese Einzelbereiche neue Optionen herausgearbeitet werden, durch die sie in besonderem Maß vom Web 2.0 profitieren können

An Introduction to Social Semantic Web Mining & Big Data Analytics for Political Attitudes and Mentalities Research

The social web has become a major repository of social and behavioral data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for harvesting, organizing and analyzing such data and provide knowledge and insights into the structure and behavior or people on-line. Some of these techniques include social web mining, conceptual and social network analysis and modeling, tag clouds, topic maps, folksonomies, complex network visualizations, modeling of processes on networks, agent based models of social network emergence, speech recognition, computer vision, natural language processing, opinion mining and sentiment analysis, recommender systems, user profiling and semantic wikis. All of these techniques are briefly introduced, example studies are given and ideas as well as possible directions in the field of political attitudes and mentalities are given. In the end challenges for future studies are discussed