Dynamics of online peer production and collaborative sensemaking
This event took place on Tuesday 02 November 2010 at 12:00
Dario Taraborelli Centre for Research in Social Simulation at the University of Surrey
This talk consists of two parts: the first part focusses on a study of the dynamics of online peer production systems; the second discusses crowdsourcing strategies to semantically structure a large body of knowledge.
Despite a large interest in the research community for online peer production, little has been done to study the dynamics of online communities that form part of larger ecosystems, and in particular what determines the performance and ultimately the survival of individual collaborative communities within such an ecosystem. This is partly due to the lack of large-scale data on the temporal evolution of collaborative ecosystems, partly to a poor understanding of what it means for communities that form these ecosystems to be "viable". Studying how these communities evolve over time can help us understand the determinants of their growth and assess their viability as a function of their social structure, internal functioning and relationship with competing communities. In this talk I present two case studies looking at community dynamics in the context of the wiki and social media ecosystem. I also present a tool called WikiTracer whose goal is to help us collect in a standardised way detailed data on wiki-based communities from a variety of heterogeneous platforms.
The second part of this presentation describes the CrowdLinks project, a proposed framework to allow large populations of users to semantically annotate the relationship between scholarly articles. Online reference management services offer a unique opportunity to add a collaborative semantic layer on top of a citation network. In this talk I present the rationale, design and expected outcome of this framework and discuss how collaborative citation typing can help us better understand the structure and progress of scientific research.
This event took place on Tuesday 02 November 2010 at 12:00
This talk consists of two parts: the first part focusses on a study of the dynamics of online peer production systems; the second discusses crowdsourcing strategies to semantically structure a large body of knowledge.
Despite a large interest in the research community for online peer production, little has been done to study the dynamics of online communities that form part of larger ecosystems, and in particular what determines the performance and ultimately the survival of individual collaborative communities within such an ecosystem. This is partly due to the lack of large-scale data on the temporal evolution of collaborative ecosystems, partly to a poor understanding of what it means for communities that form these ecosystems to be "viable". Studying how these communities evolve over time can help us understand the determinants of their growth and assess their viability as a function of their social structure, internal functioning and relationship with competing communities. In this talk I present two case studies looking at community dynamics in the context of the wiki and social media ecosystem. I also present a tool called WikiTracer whose goal is to help us collect in a standardised way detailed data on wiki-based communities from a variety of heterogeneous platforms.
The second part of this presentation describes the CrowdLinks project, a proposed framework to allow large populations of users to semantically annotate the relationship between scholarly articles. Online reference management services offer a unique opportunity to add a collaborative semantic layer on top of a citation network. In this talk I present the rationale, design and expected outcome of this framework and discuss how collaborative citation typing can help us better understand the structure and progress of scientific research.
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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