Alexandre Passant

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Alexandre Passant is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Arguments about deletion: How experience improves the acceptability of arguments in ad-hoc online task groups Argumentation schemes
Collaboration and conflict
Critical questions
Decision-making
Deliberation
Online argumentation
Peer production
Wikipedia
English 2013 Increasingly, ad-hoc online task groups must make decisions about jointly created artifacts such as open source software and Wikipedia articles. Time-consuming and laborious attention to textual discussions is needed to make such decisions, for which computer support would be beneficial. Yet there has been little study of the argumentation patterns that distributed ad-hoc online task groups use in evaluation and decision-making. In a corpus of English Wikipedia deletion discussions, we investigate the argumentation schemes used, the role of the arguer's experience, and which arguments are acceptable to the audience. We report three main results: First, the most prevalent patterns are the Rules and Evidence schemes from Walton's catalog of argumentation schemes [34], which comprise 36% of arguments. Second, we find that familiarity with community norms correlates with the novices' ability to craft persuasive arguments. Third, acceptable arguments use community-appropriate rhetoric that demonstrate knowledge of policies and community values while problematic arguments are based on personal preference and inappropriate analogy to other cases. Copyright 2013 ACM. 0 0
Deletion discussions in Wikipedia: Decision factors and outcomes Articles for deletion
Collaboration and conflict
Decision-making
Factors analysis
Novices
Online argumentation
Values
Wikipedia
WikiSym 2012 English 2012 Deletion of articles is a common process in Wikipedia, in order to ensure the overall quality of the encyclopedia. Yet, there is a need to better understand the procedures in order to promote the best decisions without unnecessary community work. In this paper, we study deletion in Wikipedia, drawing from factor analysis, and taking an in-depth, content-analysis-based approach. We address three research questions: First, what factors contribute to the decision about whether to delete a given article? Second, when multiple factors are given, what is the relative importance of those factors? Third, what are the outcomes of deletion discussions, both for articles and for the community? We find that multiple factors contribute to the assessment of an article, and we discuss their relative frequency. Further, we show how the assessment timeline focuses attention on improving borderline articles that have the potential to meet Wikipedia's content inclusion policies, and we highlight the role of novice contributors in this improvement process. 0 0
Modelling Provenance of DBpedia Resources Using Wikipedia Contributions Provenance
Linked data
DBpedia
Wikipedia
Web Semantics: Science, Services and Agents on the World Wide Web English 2011 DBpedia is one of the largest datasets in the Linked Open Data cloud. Its centrality and its cross-domain nature makes it one of the most important and most referred to knowledge bases on the Web of Data, generally used as a reference for data interlinking.Yet, in spite of its authoritative aspect, there is no work so far tackling the provenance aspect of DBpedia statements. By being extracted from Wikipedia, an open and collaborative encyclopedia, delivering provenance information about it would help to ensure trustworthiness of its data, a major need for people using DBpedia data for building applications.To overcome this problem, we propose an approach for modelling and managing provenance on DBpedia using Wikipedia edits, and making this information available on the Web of Data. In this paper, we describe the framework that we implemented to do so, consisting in (1) a lightweight modelling solution to semantically represent provenance of both DBpedia resources and Wikipedia content, along with mappings to popular ontologies such as the W7 — what, when, where, how, who, which, and why — and OPM — Open Provenance Model — models, (2) an information extraction process and a provenance-computation system combining Wikipedia articles’ history with DBpedia information, (3) a set of scripts to make provenance information about DBpedia statements directly available when browsing this source, as well as being publicly exposed in RDF for letting software agents consume it. 0 0
Modelling provenance of DBpedia resources using Wikipedia contributions DBpedia
Linked data
Provenance
Wikipedia
Journal of Web Semantics English 2011 DBpedia is one of the largest datasets in the linked Open Data cloud. Its centrality and its cross-domain nature makes it one of the most important and most referred to knowledge bases on the Web of Data, generally used as a reference for data interlinking. Yet, in spite of its authoritative aspect, there is no work so far tackling the provenance aspect of DBpedia statements. By being extracted from Wikipedia, an open and collaborative encyclopedia, delivering provenance information about it would help to ensure trustworthiness of its data, a major need for people using DBpedia data for building applications. To overcome this problem, we propose an approach for modelling and managing provenance on DBpedia using Wikipedia edits, and making this information available on the Web of Data. In this paper, we describe the framework that we implemented to do so, consisting in (1) a lightweight modelling solution to semantically represent provenance of both DBpedia resources and Wikipedia content, along with mappings to popular ontologies such as the W7 - what, when, where, how, who, which, and why - and OPM - open provenance model - models, (2) an information extraction process and a provenance-computation system combining Wikipedia articles' history with DBpedia information, (3) a set of scripts to make provenance information about DBpedia statements directly available when browsing this source, as well as being publicly exposed in RDF for letting software agents consume it. © 2011 Elsevier B.V. 0 0
Understanding and improving Wikipedia article discussion spaces Wikipedia
Collaboration
Online discussions
Semantic web
Talk page
SAC English 2011 0 1
A Content Analysis: How Wikipedia Talk Pages Are Used Web Science Conference English 2010 0 0
Enhancing mediawiki talk pages with semantics for better coordination a proposal MediaWiki
RDFa
SIOC
Talk page
Wikipedia
CEUR Workshop Proceedings English 2010 This paper presents a 15-item classification for MediaWiki Talk pages comments, associated with a new lightweight ontology that extends SIOC to represent these categories.We discuss how this ontology can enhance MediaWiki Talk pages, with RDFa, making content of such pages easier to parse and to understand. 0 0
Semantic representation of provenance in Wikipedia CEUR Workshop Proceedings English 2010 Wikis are often considered as being a wide source of information. However, identifying provenance information about their content is crucial, whether it is for computing trust in public wiki pages or to identify experts in corporate wikis. In this paper, we address this issue by providing a lightweight ontology for provenance management in wikis, based on the W7 model. Furthermore, we showcase the use of our model in a framework that computes provenance information in Wikipedia, also using DBpedia to compute provenance and contribution information per category, and not only per page. 0 0
Semantic search on heterogeneous Wiki systems Dokuwiki
MediaWiki
SIOC
Linked data
Semantic search
Semantic web
Social semantic web
Wiki
WikiSym English 2010 0 1
Enabling cross-wikis integration by extending the SIOC ontology DBpedia
Linked data
MediaWiki
Semantic web
SIOC
Social semantic web
Wiki
CEUR Workshop Proceedings English 2009 This paper describes how we extended the SIOC ontology to take into account particular aspects of wikis in order to enable integration capabilities between various wiki systems. In particular, we will overview the proposed extensions and detail a webservice providing SIOC data from any MediaWiki instance, as well as related query examples that show how different wikis, designed as independant data silos, can be uniformally queried and interlinked. 0 0
Semantic search for enterprise 2.0 Enterprise 2.0
Semantic middleware
Semantic Wikis
SIOC
CEUR Workshop Proceedings English 2009 In this paper, we describe how Enterprise 2.0 can benefit from lightweight semantics for information integration, enabling a better and easier search process for the end-users. 0 0
Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites Reasoning Web 2008 One of the most visible trends on the Web is the emergence of {Social} Web" sites which facilitate the creation and gathering of knowledge through the simplification of user contributions via blogs tagging and folksonomies wikis podcasts and the deployment of online social networks. The Social Web has enabled community-based knowledge acquisition with efforts like the Wikipedia demonstrating the "wisdom of the crowds" in creating the world's largest online encyclopaedia. Although it is difficult to define the exact boundaries of what structures or abstractions belong to the Social Web a common property of such sites is that they facilitate collaboration and sharing between users with low technical barriers although usually on single sites. As more social websites form around the connections between people and their objects of interest and as these "object-centred networks" grow bigger and more diverse more intuitive methods are needed for representing and navigating the content items in these sites: both within and across social websites. Also to better enable user access to multiple sites interoperability among social websites is required in terms of both the content objects and the person-to-person networks expressed on each site. This requires representation mechanisms to interconnect people and objects on the Social Web in an interoperable and extensible way. The Semantic Web provides such representation mechanisms: it can be used to link people and objects by representing the heterogeneous ties that bind us all to each other (either directly or indirectly). In this paper we will describe methods that build on agreed-upon Semantic Web formats to describe people content objects and the connections that bind them together explicitly or implicitly enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they createreuse and link content on social networking sites and social websites." 0 0
Combining structure and semantics for ontology-based corporate wikis Architecture of participation
Collective intelligence
Ontology
Semantic web
Web 2.0
Wiki
Lecture Notes in Business Information Processing English 2008 While wikis offer new means to collaboratively build, organize and share knowledge in organizations, such knowledge cannot be easily understood by computers in a query answering or reusability process. This paper details the features and architecture of a wiki-farm system that combines structure and semantics in order to collaboratively produce ontology-based data and immediately reuse it in wiki pages to enrich browsing and querying capabilities of the system. 0 0
Towards an interlinked semantic wiki farm Linked data
Named graphs
Ontology population
Semantic wiki
SIOC
Wikifarm
CEUR Workshop Proceedings English 2008 This paper details the main concepts and the architecture of UfoWiki, a semantic wiki farm - i.e. a server of wikis - that uses form-based templates to produce ontology-based knowledge. Moreover, the system allows different wikis to share and interlink ontology instance between each other, so that knowledge can be produced by different and distinct communities in a distributed but collaborative way. 0 0