| Collaborative system|
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Collaborative system is included as keyword or extra keyword in 0 datasets, 0 tools and 18 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Automated Decision support for human tasks in a collaborative system: The case of deletion in wikipedia||Gelley B.S.
|Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013||English||2013||Wikipedia's low barriers to participation have the unintended effect of attracting a large number of articles whose topics do not meet Wikipedia's inclusion standards. Many are quickly deleted, often causing their creators to stop contributing to the site. We collect and make available several datasets of deleted articles, heretofore inaccessible, and use them to create a model that can predict with high precision whether or not an article will be deleted. We report precision of 98.6% and recall of 97.5% in the best case and high precision with lower, but still useful, recall, in the most difficult case. We propose to deploy a system utilizing this model on Wikipedia as a set of decision-support tools to help article creators evaluate and improve their articles before posting, and new article patrollers make more informed decisions about which articles to delete and which to improve. Categories and Subject Descriptors H.5.3. Collaborative Computing; Computer Supported Collaborative Work General Terms Measurement, Performance, Human Factors,. Copyright 2010 ACM.||0||0|
|Open2Edit: A peer-to-peer platform for collaboration||Zeilemaker N.
|2013 IFIP Networking Conference, IFIP Networking 2013||English||2013||Peer-to-peer systems owe much of their success to user contributed resources like storage space and bandwidth. At the same time, popular collaborative systems like Wikipedia or StackExchange are built around user-contributed knowledge, judgement, and expertise. In this paper, we combine peer-to-peer and collaborative systems to create Open2Edit, a peer-to-peer platform for collaboration.||0||0|
|Citation needed: The dynamics of referencing in Wikipedia||Chih-Chun Chen
|WikiSym||English||August 2012||The extent to which a Wikipedia article refers to external sources to substantiate its content can be seen as a measure of its externally invoked authority. We introduce a protocol for characterising the referencing process in the context of general article editing. With a sample of relatively mature articles, we show that referencing does not occur regularly through an article’s lifetime but is associated with periods of more substantial editing, when the article has reached a certain level of maturity (in terms of the number of times it has been revised and its length). References also tend to be contributed by editors who have contributed more frequently and more substantially to an article, suggesting that a subset of more qualified or committed editors may exist for each article.||13||1|
|Building for social translucence: A domain analysis and prototype system||David W. McDonald
|English||2012||The relationships and work that facilitate content creation in large online contributor system are not always visible. Social translucence is a stance toward the design of systems that allows users to better understand collaborative system participation through awareness of contributions and interactions. Like many socio-technical constructs, social translucence is not something that can be simply added after a system is built; it should be at the core of system design. In this paper, we conduct a domain analysis to understand the space of architectural support required to facilitate social translucence in systems. We describe an instantiation of those requirements as a system architecture that relies on data from Wikipedia and illustrate how translucence can be propagated to some basic visualizations which we have created for Wikipedia users. We close with some reflections on the state of social translucence research and some openings for this important design perspective.||0||0|
|Tagging wikipedia: Collaboratively creating a category system||Thornton K.
|GROUP'12 - Proceedings of the ACM 2012 International Conference on Support Group Work||English||2012||Category systems have traditionally been created by small committees of people who had authority over the system they were designing. With the rise of large-scale social media systems, category schemes are being created by groups with differing perspectives, values, and expectations for how categories will be used. Prior studies of social tagging and folksonomy focused on the application and evolution of the collective category scheme, but struggled to uncover some of the collective rationale undergirding the decision-making processes in those schemes. In this paper, we qualitatively analyze the early discussions among editors of Wikipedia about the design and creation of its category system. We highlight three themes that dominated the discussion: hierarchy, scope and navigation, and relate these themes to their more formal roots in the information science literature. We distill out four styles of collaboration with regard to category systems that apply broadly to social tagging and other folksonomies. We conclude the paper with implications for collaborative tools and category systems as applied to large-scale collaborative systems. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).||0||0|
|Adessowiki - Collaborative platform for writing executable papers||Machado R.C.
|Procedia Computer Science||English||2011||Adessowiki is a collaborative platform for scientific programming and document writing. It is a wiki environment that carries simultaneously documentation, programming code and results of its execution without any software configuration such as compilers, libraries and special tools at the client side. This combination of a collaborative wiki environment, central server and execution of code at rendering time enables the use of Adessowiki as an executable paper platform, since it fulfills the need to disseminate, validate, and archive research data.||0||0|
|Finding paths connecting two proper nouns using an ant colony algorithm||Hakande D.||ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications||English||2011||Collaborative systems available on the Web allow millions of users to share information through a growing collection of tools and platforms such as wiki- patforms, blogs, and shared forums. With abundant information resources on the Internet such as Wikipedia or the Freebase, we study the connections between two proper nouns. Nevertheless, the problem is a challenging search problem, as information on the Internet is undoubtedly large and full of irrelevant information. In this project, we first parse and mine the entire Freebase database in order to extract the relevant information of proper nouns. Further we apply Ant Colony Optimization method for finding the path that connects two proper nouns together.||0||0|
|Multi-label classification of short text: A study on Wikipedia barnstars||Sajnani H.
David W. McDonald
|AAAI Workshop - Technical Report||English||2011||A content analysis of Wikipedia barnstars personalized tokens of appreciation given to participants reveals a wide range of valued work extending beyond simple editing to include social support, administrative actions, and types of articulation work. Barnstars are examples of short semi-structured text characterized by informal grammar and language. We propose a method to classify these barnstars which contain items of interest into various work type categories. We evaluate several multi-label text categorization classifiers and show that significant performance can be achieved by simple classifiers using features which carry context extracted from barnstars. Although this study focused specifically on work categorization via barnstar content for Wikipedia, we believe that the findings are applicable to other similar collaborative systems. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.||0||0|
|My kind of people? Perceptions about wikipedia contributors and their motivations||Judd Antin||Conference on Human Factors in Computing Systems - Proceedings||English||2011||Perceptions of information products such as Wikipedia can depend on assumptions and stereotypes about the people who create them. As new Wikipedians consider contributing they are likely to apply such assumptions and ask themselves: "Are Wikipedia contributors my kind of people? Is this a group I'd like to belong to?" In this qualitative study I address the potential challenge of these questions by exploring readers and infrequent editors' perceptions of Wikipedia contributors and their motivations. Through analysis of twenty semi-structured interviews, I find evidence of strong negative perceptions as well as positive ones which nonetheless prevent users from identifying with active Wikipedia contributors. I argue that these perceptions present a barrier to the progression of participation over time. I conclude by discussing the practical challenges of my findings for Wikipedia and other online collaborative systems. Copyright 2011 ACM.||0||1|
|WikiLit: Collecting the wiki and Wikipedia literature||Phoebe Ayers
|WikiSym 2011 Conference Proceedings - 7th Annual International Symposium on Wikis and Open Collaboration||English||2011||This workshop has three key goals. First, we will examine existing and proposed systems for collecting and analyzing the research literature about wikis. Second, we will discuss the challenges in building such a system and will engage participants to design a sustainable collaborative system to achieve this goal. Finally, we will provide a forum to build upon ongoing wiki community discussions about problems and opportunities in finding and sharing the wiki research literature.||0||2|
|A comparison of generated Wikipedia profiles using social labeling and automatic keyword extraction||Russell T.
|ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media||English||2010||In many collaborative systems, researchers are interested in creating representative user profiles. In this paper, we are particularly interested in using social labeling and automatic keyword extraction techniques for generating user profiles. Social labeling is a process in which users manually tag other users with keywords. Automatic keyword extraction is a technique that selects the most salient words to represent a user's contribution. We apply each of these two profile generation methods to highly active Wikipedia editors and their contributions, and compare the results. We found that profiles generated through social labeling matches the profiles generated via automatic keyword extraction, and vice versa. The results suggest that user profiles generated from one method can be used as a seed or bootstrapping proxy for the other method. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.||0||0|
|A contribution-based framework for the creation of semantically-enabled web applications||Rico M.
|Information Sciences||English||2010||We present Fortunata, a wiki-based framework designed to simplify the creation of semantically-enabled web applications. This framework facilitates the management and publication of semantic data in web-based applications, to the extent that application developers do not need to be skilled in client-side technologies, and promotes application reuse by fostering collaboration among developers by means of wiki plugins. We illustrate the use of this framework with two Fortunata-based applications named OMEMO and VPOET, and we evaluate it with two experiments performed with usability evaluators and application developers respectively. These experiments show a good balance between the usability of the applications created with this framework and the effort and skills required by developers. © 2009 Elsevier Inc. All rights reserved.||0||0|
|Semantic Wiki aided business process specification||Toufeeq Hussain
|WWW'09 - Proceedings of the 18th International World Wide Web Conference||English||2009||This paper formulates a collaborative system for modeling business application. The system uses a Semantic Wiki to enable collaboration between the various stakeholders involved in the design of the system and translates the captured intelligence into business models which are used for designing a business system. Copyright is held by the author/owner(s).||0||0|
|Supporting and transforming leadership in online creative collaboration||Kurt Luther||GROUP'09 - Proceedings of the 2009 ACM SIGCHI International Conference on Supporting Group Work||English||2009||Behind every successful online creative collaboration, from Wikipedia to Linux, is at least one effective project leader. Yet, we know little about what such leaders do and how technology supports or inhibits their work. My thesis investigates leadership in online creative collaboration, focusing on the novel context of animated movie-making. I first conducted an empirical study of existing leadership practices in this context. I am now designing a Web-based collaborative system, Sandbox, to understand the impact of technological support for centralized versus decentralized leadership in this context. My expected contributions include a comparative investigation of the effects of different types of leadership on online creative collaboration, and a set of empirically validated design principles for supporting leadership in online creative collaboration.||0||0|
|Community experience at OpenOffice.org||Muller-Prove M.||Interactions||English||2007||The community perspective for open source projects with OpenOffice.org as an example is discussed. OpenOffice.org is the leading open source office suite, with about 85 million downloaded copies worldwide. It is available for all major platforms and has been localized for almost 100 languages. The project is initiated by Sun Microsystems by open-sourcing StarOffice's code base. Sun also contributes a team of dedicated user-experience engineers to the project to support the development process and to improve the usefulness and usability of OpenOffice.org. Wikipedia is the prominent example of collaborative systems where everyone is invited to contribute and edit articles. Open source projects can also be seen as a kind of social network with the open source product as the connecting social object. The Web presence is a complex network of websites and databases that has a significant impact on the perceived image of the open source project.||0||0|
|RikWik: An extensible XML based Wiki||Richard Mason
|Proceedings - 2005 International Symposium on Collaborative Technologies and Systems||English||2005||Wiki Wiki Webs provide a simple form of collaboration between multiple users using standard web browsers. Their popularity stems from their easy access and straightforward editing manner. Wikis are often used to support collaboration in research. We present a Wiki Wiki Clone, RikWik, which uses XML to provide a simple, secure platform for collaboration. In addition to supporting standard Wiki features, RikWik also provides a robust security system, provides a Web Service front-end and allows custom page types to better suit specific collaborative endeavors. RikWik has a plug-in architecture to easily allow end users to extend the platform. Thus RikWik provides an extensible collaboration platform. It is in day to day use at QUT.||0||0|
|RikWik: an extensible XML based Wiki||Richard Mason
|The design for a collaborative system of english as foreign language composition writing of senior high school students in Taiwan||Chang Y.-F.
|ICALT||English||2005||The authors will propose system integrated mechanisms, a Wiki platform for peer-reviewing, Link Grammar for automatically checking the students' papers, and a RSS reader to periodically retrieve these articles from the platform that is published in the BLOC system. The authors claim that using such a system will have two major advantages. First, the students have a chance to exchange their skills and opinions when writing the article. Second, by the assistance of Link Grammar, the teacher can concentrate on students' higher level skills instead of correcting mechanical problems.||0||0|