@book{leuf2001quick, address = {London}, author = {Leuf, Bo and Cunningham, Ward}, interhash = {7f9fb2b5bdcc9be84048552ed1ed6d04}, intrahash = {28c210462bb61d92cbe1c4d31fe5dc30}, isbn = {0-201-71499-X}, month = mar, publisher = {Addison-Wesley}, title = {The Wiki way: quick collaboration on the Web}, year = 2001 } @inproceedings{derose2008building, abstract = {The rapid growth of Web communities has motivated many solutions for building community data portals. These solutions follow roughly two approaches. The first approach (e.g., Libra, Citeseer, Cimple) employs semi-automatic methods to extract and integrate data from a multitude of data sources. The second approach (e.g., Wikipedia, Intellipedia) deploys an initial portal in wiki format, then invites community members to revise and add material. In this paper we consider combining the above two approaches to building community portals. The new hybrid machine-human approach brings significant benefits. It can achieve broader and deeper coverage, provide more incentives for users to contribute, and keep the portal more up-to-date with less user effort. In a sense, it enables building "community wikipedias", backed by an underlying structured database that is continuously updated using automatic techniques. We outline our ideas for the new approach, describe its challenges and opportunities, and provide initial solutions. Finally, we describe a real-world implementation and preliminary experiments that demonstrate the utility of the new approach.}, author = {DeRose, P. and Chai, Xiaoyong and Gao, B.J. and Shen, W. and Doan, An Hai and Bohannon, P. and Zhu, Xiaojin}, booktitle = {24th International Conference on Data Engineering}, doi = {10.1109/ICDE.2008.4497473}, interhash = {00f45357225b1e75ed93bddb8d456fb7}, intrahash = {38a2e84d3dfd845d9c260d5f15161c6f}, month = apr, pages = {646--655}, publisher = {IEEE}, title = {Building Community Wikipedias: A Machine-Human Partnership Approach}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4497473&tag=1}, year = 2008 } @inproceedings{chi2009augmented, abstract = {We are experiencing a new Social Web, where people share, communicate, commiserate, and conflict with each other. As evidenced by systems like Wikipedia, twitter, and delicious.com, these environments are turning people into social information foragers and sharers. Groups interact to resolve conflicts and jointly make sense of topic areas from "Obama vs. Clinton" to "Islam."

PARC's Augmented Social Cognition researchers -- who come from cognitive psychology, computer science, HCI, CSCW, and other disciplines -- focus on understanding how to "enhance a group of people's ability to remember, think, and reason". Through Social Web systems like social bookmarking sites, blogs, Wikis, and more, we can finally study, in detail, these types of enhancements on a very large scale.

Here we summarize recent work and early findings such as: (1) how conflict and coordination have played out in Wikipedia, and how social transparency might affect reader trust; (2) how decreasing interaction costs might change participation in social tagging systems; and (3) how computation can help organize user-generated content and metadata.}, acmid = {1559959}, address = {New York, NY, USA}, author = {Chi, Ed H.}, booktitle = {Proceedings of the 2009 ACM SIGMOD International Conference on Management of data}, doi = {10.1145/1559845.1559959}, interhash = {d24a64ce5e95bae4de9329a467342dee}, intrahash = {d09b484b1036ca8273743cac1992dd7f}, isbn = {978-1-60558-551-2}, location = {Providence, Rhode Island, USA}, numpages = {12}, pages = {973--984}, publisher = {ACM}, title = {Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason}, url = {http://doi.acm.org/10.1145/1559845.1559959}, year = 2009 } @inproceedings{happel2010considering, abstract = {The notions of collaborative information seeking (CIS) and social search have extended the classical model of information seeking and retrieval. In its core, CIS and social search acknowledge the existence of multiple users and study their implicit and explicit interactions across various dimensions. In this paper, we argue to further extend the scope by introducing information providers as a separate role to complement the process of information seeking with information provision. We briefly describe prototype implementations and identify a number of future research challenges.}, author = {Happel, Hans-Jörg and Mazarakis, Athanasios}, booktitle = {Proceedings of the 2nd International Workshop on Collaborative Information Seeking}, interhash = {294126ce54a14361c63cccb176cb8e37}, intrahash = {d1f723d2636b2a2d3f0ed3e03e04a9a7}, title = {Considering Information Providers in Social Search}, url = {http://workshops.fxpal.com/cscw2010cis/submissions/tmp1C.pdf}, year = 2010 } @inproceedings{auer2007what, abstract = {Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.}, author = {Auer, S{\"o}ren and Lehmann, Jens}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {ESWC}, crossref = {DBLP:conf/esws/2007}, ee = {http://dx.doi.org/10.1007/978-3-540-72667-8_36}, file = {auer2007what.pdf:auer2007what.pdf:PDF}, groups = {public}, interhash = {2b70ab546da1b45f5350d3ff742c4288}, intrahash = {b8e464b4a672530bf91c9189f17cca73}, pages = {503-517}, timestamp = {2010-02-23 14:49:49}, title = {What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content}, url = {http://www.springerlink.com/content/3131t21p634191n2/}, username = {dbenz}, year = 2007 } @inproceedings{1135863, abstract = {Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual meaning.We provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner.Enabling even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation. These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the RDF export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge base.In this paper, we present the design, implementation, and possible uses of this extension.}, address = {New York, NY, USA}, author = {V\"{o}lkel, Max and Kr\"{o}tzsch, Markus and Vrandecic, Denny and Haller, Heiko and Studer, Rudi}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, doi = {10.1145/1135777.1135863}, interhash = {2847e16839b842552f6f495ceda1d5d1}, intrahash = {a204b4b6cad0255ec900ba59aec73485}, isbn = {1-59593-323-9}, location = {Edinburgh, Scotland}, pages = {585--594}, publisher = {ACM}, title = {Semantic Wikipedia}, url = {http://portal.acm.org/citation.cfm?id=1135863}, year = 2006 } @inproceedings{conf/aaai/StrubeP06, author = {Strube, Michael and Ponzetto, Simone Paolo}, booktitle = {AAAI}, crossref = {conf/aaai/2006}, date = {2006-07-13}, interhash = {a09d5123ab9ab8cb00b8df6f0a7f5c81}, intrahash = {9216a46b593c3319aa23d13ca8373beb}, publisher = {AAAI Press}, title = {WikiRelate! Computing Semantic Relatedness Using Wikipedia.}, url = {http://www.dit.unitn.it/~p2p/RelatedWork/Matching/aaai06.pdf}, year = 2006 } @inproceedings{nazir2008tripartite, abstract = {Social aspects are critical in the decision making process for social actors (human beings). Social aspects can be categorized into social interaction, social communities, social groups or any kind of behavior that emerges from interlinking, overlapping or similarities between interests of a society. These social aspects are dynamic and emergent. Therefore, interlinking them in a social structure, based on bipartite affiliation network, may result in isolated graphs. The major reason is that as these correspondences are dynamic and emergent, they should be coupled with more than a single affiliation in order to sustain the interconnections during interest evolutions. In this paper we propose to interlink actors using multiple tripartite graphs rather than a bipartite graph which was the focus of most of the previous social network building techniques. The utmost benefit of using tripartite graphs is that we can have multiple and hierarchical links between social actors. Therefore in this paper we discuss the extraction, plotting and analysis methods of tripartite relations between authors, articles and categories from Wikipedia. Furthermore, we also discuss the advantages of tripartite relationships over bipartite relationships. As a conclusion of this study we argue based on our results that to build useful, robust and dynamic social networks, actors should be interlinked in one or more tripartite networks.}, author = {Nazir, F. and Takeda, H.}, booktitle = {IEEE International Symposium on Technology and Society}, doi = {10.1109/ISTAS.2008.4559785}, interhash = {7d3cb02c1c7774fe43e4303f0d3c37a4}, intrahash = {c3cca9801ab1e6d2598be1041c19618c}, isbn = {978-1-4244-1669-1}, month = jun, organization = {IEEE}, pages = {1--13}, title = {Extraction and analysis of tripartite relationships from Wikipedia}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4559785}, year = 2008 } @book{Hildebrand.2006, address = {Heidelberg}, author = {Hildebrand, Knut and Hofmann, Josefine}, interhash = {10758973fb39f4d87057329698ecf83c}, intrahash = {a62672e137133ee3df9f6b8205d6d3ec}, isbn = {3898643840}, publisher = {dpunkt-Verl.}, series = {HMD - Praxis der Wirtschaftsinformatik}, title = {Social Software: Einsatz- und Nutzungspotenziale, Web 2.0 im Kundenmanagement, Mobile Social Software, Wissensmanagement mit Wikis, Social Internet, Wikipedia in der Aus- und Weiterbildung, Mobile Communities}, volume = {43.2006,252}, year = 2006 } @book{Moller.2006, address = {Hannover}, author = {Möller, Erik}, edition = {2., erw. und aktualisierte Aufl.}, interhash = {a878c974c6ace8cd7b96840a0d3d8339}, intrahash = {02fc63ee866cb96eedba8b04ad55152b}, isbn = {3936931364}, publisher = {Heise}, series = {TelepolisMagazin der Netzkultur}, title = {Die heimliche Medienrevolution: Wie Weblogs, Wikis und freie Software die Welt verändern}, url = {http://www.sub.uni-hamburg.de/ebook/ebook.php?act=b&cid=7335 / http://deposit.ddb.de/cgi-bin/dokserv?id=2780980&prov=M&dok_var=1&dok_ext=htm}, year = 2006 } @book{berendt2008challenge, editor = {Berendt, Bettina and Glance, Natalie and Hotho, Andreas}, interhash = {ab9a3d6f27b2bc93cb8137a0f7988271}, intrahash = {50f6cd75018d7ee98f49c5ab4ef0faaf}, publisher = {Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08)}, title = {Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 Workshop}, url = {http://www.kde.cs.uni-kassel.de/ws/wbbtmine2008/pdf/all_wbbtmine2008.pdf}, year = 2008 } @inproceedings{voss05measuring, author = {Voss, Jakob}, booktitle = {Proceedings International Conference of the International Society for Scientometrics and Informetrics: 10 th}, interhash = {674a78066e8b98ec57a692ca7fb3c46b}, intrahash = {38f009374ff82c99e73160e376b05b55}, location = {Stockholm(Sweden)}, title = {Measuring Wikipedia}, url = {http://eprints.rclis.org/archive/00003610/}, year = 2005 } @article{1551, abstract = {Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its content is barely machine-interpretable and only weakly structured. With Semantic MediaWiki we provide an extension that enables wiki-users to semantically annotate wiki pages, based on which the wiki contents can be browsed, searched, and reused in novel ways. In this paper, we give an extended overview of Semantic MediaWiki and discuss experiences regarding performance and current applications.}, author = {Krötzsch, Markus and Vrandecic, Denny and Völkel, Max and Haller, Heiko and Studer, Rudi}, interhash = {7957ab402fcb10d64e148f499deacba4}, intrahash = {03d24fef49e40d9dec474d04d0b27000}, journal = {Journal of Web Semantics}, month = DEC, note = {To appear.}, title = {Semantic Wikipedia}, url = {http://korrekt.org/papers/KroetzschVrandecicVoelkelHaller_SemanticMediaWiki_2007.pdf}, year = 2007 } @inproceedings{1149472, address = {New York, NY, USA}, author = {Majchrzak, Ann and Wagner, Christian and Yates, Dave}, booktitle = {WikiSym '06: Proceedings of the 2006 international symposium on Wikis}, doi = {http://doi.acm.org/10.1145/1149453.1149472}, interhash = {7417509b1f62d5bda8db73a00ce28532}, intrahash = {29d3921cecea6f6b1c4e9b1cdb55230d}, isbn = {1-59593-413-8}, location = {Odense, Denmark}, pages = {99--104}, publisher = {ACM Press}, title = {Corporate wiki users: results of a survey}, year = 2006 } @inproceedings{Voelkel:2006:WIF, author = {V{\"{o}}lkel, Max and Oren, Eyal}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, editor = {V{\"{o}}lkel, Max and Schaffert, Sebastian}, interhash = {1c08090fa04a754e08fe14f0864ec351}, intrahash = {2216064c82c0d31a0b2ae930a955328d}, title = {Towards a Wiki Interchange Format (WIF)}, url = {\url{http://www.xam.de/2006/06-WIF-SemWiki2006.pdf}}, year = 2006 } @inproceedings{DeWaard:2006:ABCDE, abstract = {-We believe that the best way to present a narrative to a computer is to let the author explicitly create a rich semantic structure for the article during writing. – We propose an open-standard, widely (re)useable format, the ABCDE format for proceedings and workshop contributions that can be easily mined, integrated and consumed by semantic browsers and wikis. – There need not be an abstract in an ABCDE document - instead, the author denotes core sentences within the B,C and D sections, which are compiled through a macro to form a structured abstract. – We believe a LATEX stylesheet provides a suitable input format for providing authors with a semantic structure to work from. – We provide the abcde.sty LATEX file as an appendix to this paper. – Macros are provided to specify Dublin Core Elements, and to print a list of those that are specified. – Our section division into Background, Contribution, and Discussion is backed by a number of emperical studies. – We aim to work on different incarnations of this format and open it up to modification and development.}, author = {de Waard, Anita and Tel, Gerard}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {000966551e3866157616aed11385fa80}, intrahash = {983a9fa2be0271f92d0dfd8a5cd16935}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {The ABCDE Format Enabling Semantic Conference Proceedings}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{Buffa:2006:SweetWiki, abstract = {Wikis are social web sites enabling a potentially large number of participants to modify any page or create a new page using their web browser. As they grow, wikis suffer from a number of problems (anarchical structure, large number of pages, aging navigation paths, etc.). We believe that semantic wikis can improve navigation and search. In SweetWiki we investigate the use of semantic web technologies to support and ease the lifecycle of the wiki. The very model of wikis was declaratively described: an OWL schema captures concepts such as WikiWord, wiki page, forward and backward link, author, etc. This ontology is then exploited by an embedded semantic search engine (Corese). In addition, SweetWiki integrates a standard WYSIWYG editor (Kupu) that we extended to support semantic annotation following the "social tagging" approach made popular by web sites such as flickr.com. When editing a page, the user can freely enter some keywords in an AJAX-powered textfield and an auto-completion mechanism proposes existing keywords by issuing SPARQL queries to identify existing concepts with compatible labels. Thus tagging is both easy (keyword-like) and motivating (real time display of the number of related pages) and concepts are collected as in folksonomies. To maintain and reengineer the folksonomy, we reused a web-based editor available in the underlying semantic web server to edit semantic web ontologies and annotations. Unlike in other wikis, pages are stored directly in XHTML ready to be served and semantic annotations are embedded in the pages themselves using RDF/A. If someone sends or copy a page, the annotations follow it, and if an application crawls the wiki site it can extract the metadata and reuse them.}, author = {Buffa, Michel and Crova, Gaël and Gandon, Fabien and Lecompte, Claire and Passeron, Jeremy}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {1c74dcb1a3394af9f9a61b8a9228d693}, intrahash = {76b6d7afdb3d4f4c19cb02a60c41bb0c}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {SweetWiki : Semantic WEb Enabled Technologies in Wiki}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @proceedings{SemWiki2006-proceedings, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {25c4d07a674694805cd9bf759037ff4f}, intrahash = {6729d6637b54ea901e5a021153186f3b}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{Schaffert:2006:LwSW, abstract = {The knowledge society requires life-long learning and flexible learning environments that allow learners to learn whenever they have time, whereever they are, and according to their own needs and background knowledge. In this article, we investigate how Semantic Wikis – a combination of Wiki and Semantic Web technology – can support learners in such flexible learning environments. We first summarise common features of Wikis and Semantic Wikis and then describe different aspects of Semantic Wikis for learning. We also introduce our Semantic Wiki system called IkeWiki and show why it is particularly promising as a learning tool.}, author = {Schaffert, Sebastian and Bischof, Diana and Bürger, Tobias and Gruber, Andreas and Hilzensauer, Wolf and Schaffert, Sandra}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {7eb99c7ee3914350befe8db528bbfc86}, intrahash = {3f758ae7bab7262f48818b03fdb4fa59}, month = {June}, owner = {voelkel}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Learning with Semantic Wikis}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{Kiesel:2006:Kaukolu, abstract = {Due to their low entry barrier, easy deployment, and simple yet powerful features, wikis have gained popularity for agile knowledge management in communities of almost all sizes. Semantic wikis strive to give entered information more structure in order to allow automatic processing of the wiki’s contents. This facilitates enhanced navigation and search in the wiki itself as well as simple reuse of information in external applications or for generating different views on the same information. This makes semantic wikis especially interesting for corporate intranet deployment, implementing the Semantic Intranet. In this paper, we will have a look at Kaukolu, an open source semantic wiki prototype, being deployed in a corporate intranet. External applications use information authored in Kaukolu, effectively forming a cluster of applications interacting and sharing data.}, author = {Kiesel, Malte}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, comment = {Best Short Paper at the Workshop}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {f01e0a7a8b9797f4fe0f0e619cd7bfb9}, intrahash = {443c11410edcad7d143bdf62e953701b}, month = {June}, organization = {DFKI}, owner = {voelkel}, pdf = {http://www.dfki.uni-kl.de/~kiesel/2006-06-12-Kaukolu-SemWikiESWC2006.pdf}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Kaukolu: Hub of the Semantic Corporate Intranet}, url = {http://semwiki.org/semwiki2006}, year = 2006 }