Knowledge and information production
| knowledge and information production|
(Alternative names for this keyword)
|Related keyword(s)||Knowledge Extraction, Knowledge process, Knowledge representation|
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knowledge and information production is included as keyword or extra keyword in 0 datasets, 0 tools and 5 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Integrating artificial intelligence solutions into interfaces of online knowledge production||Heder M.||ICIC Express Letters||English||2011||The current interfaces of online knowledge production systems are not optimal for the creation of high-quality knowledge units. This study investigates possible methods for the integration of AI solutions into those web interfaces where users produce knowledge, e.g., Wikipedia, forums and blogs. A requirement survey was conducted in order to predict which solutions the users would most likely accept out of the many possible choices. We focused on the reading and editing preferences of Wikipedia users, Wikipedia being the biggest knowledge production and sharing framework. We found that many functions can be easily implemented into the knowledge production interface if we simply integrate well-known and available AI solutions. The results of our survey show that right now the need for basic, but well-implemented and integrated AI functions is greater than the need for cutting-edge, complex AI modules. It can be concluded that even if it is advisable to constantly improve the underlying algorithms and methods of the system, much more emphasis should be given to the interface design of currently available AI solutions.||0||0|
|Network centrality and contributions to online public good - The case of Chinese Wikipedia||Chao Wang
|Proceedings of the Annual Hawaii International Conference on System Sciences||English||2011||Internet technology enables virtual collaboration and plays an important role in knowledge production. However, collaborative technology will not function without conducive underlying social mechanisms. Previous research mostly investigates individual-level motivations of editors, with only a few exceptions examining the collaboration relationships. In this paper, we take a structural perspective and investigate the impact of positions (centralities) of editors in the collaboration networks on their efforts and effort allocations. To achieve this, we empirically reconstruct the dynamic collaboration network of Chinese Wikipedia for the period between 2002 and 2007. Based on a dynamic view of the network, we compose a panel data set that covers both the contribution behavior and network position characteristics of Wikipedia editors. We strengthen our causal interpretation by leveraging the exogenous block that prevented Wikipedia editors in Mainland China from accessing the website. We find distinctive effort allocation patterns that strongly correlate with network centrality measures. This confirms theoretical predictions derived in recent developments in network economics and social network theories. This research enhances our understanding about how collaboration network structure shapes individuals' behavior in online collaboration platforms.||0||0|
|Wikipedia, heterotopi och versioner av kulturella minnen||Haider J.
|Human IT||Swedish||2010||The article draws together studies on encyclopaedic expressions throughout history with Foucault's notion of heterotopia, i.e. actually existing utopias or 'other', particular spaces that exist besides society's regular spaces and which work according to their own rules. It explores how we can understand contemporary online encyclopaedias, specifically Wikipedia, as digital heterotopias. For this it investigates Wikipedia as an archive for our cultural memory in its different - and sometimes contested - versions. In conclusion, participatory online encyclopaedias are framed as a continuation of an Enlightenment ideal as well as distinct networked spaces that are made possible through the affordances of the Internet. © Författarna. Publicerad av Högskolan i Borås.||0||0|
|Managing collective knowledge in the web 3.0||Padula M.
|1st International Conference on Evolving Internet, INTERNET 2009||English||2009||Knowledge Management (KM) is one of the hottest Internet challenges influencing the design and the architecture of the infrastructures that will be accessed by the future generation. In this paper, we bridge KM to philosophical theories to quest a theoretical foundation for the discussion, today utterly exciting, about Web's semantics. The man has always tried to organise the knowledge he gained, using lists, encyclopaedias, libraries, etc., in order to make the consultation and the finding of information easier. Nowadays it is possible to get information from the Web, digital archives and databases, but the actual problem is linked to its interpretation, which is now possible only by human beings. The act of interpreting is peculiar for men, not for machines. At the moment there are lots of available digital tools which are presented as KM technologies, but languages often do not discern meanings. We shall investigate the meaning of "knowledge" in the digital world, sustaining it with references to the Philosophy of Information and epistemology. After having provided a definition of "knowledge", suitable for the digital environment, it has been extended to "collective knowledge", a very common concept in the area of global information, proper to the current process of knowledge production and management. The definition is verified testing if a well-known growing phenomenon like Wikipedia can be truly regarded as a knowledge management system.||0||0|
|Where information searches for you: The visible past ubiquitous knowledge environment for digital humanities||Matei S.A.
|Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009||English||2009||Visible Past proposes a new class of interdisciplinary learning, documenting, knowledge production, and discovery experiences that are anchored in space and time indicators. The project is supported by a ubiquitous computing platform with wiki, implicit social networking, and location aware capabilities. The environment can be used as an integrated framework for enhancing learning and research in social sciences and humanities. Its main benefit would be involving the student, the researcher, and/or the museum visitor in mobile interactive experiences which rely on social networking around common topics or spaces.||1||0|