Welcome to the homepage for the forthcoming
Semantic Web Collaborative Spaces Workshop
09:00 - 09:40 Keynote: Wikidata: A new platform for collaborative data collection Denny Vrandečić, Slides
Abstract: This year, Wikimedia starts to build a new platform for the collaborative acquisition and maintenance of structured data: Wikidata. Wikidata's prime purpose is to be used within the other Wikimedia projects, like Wikipedia, to provide well-maintained, high-quality data. The nature and requirements of the Wikimedia projects require to develop a few novel, or at least unusual features for Wikidata: Wikidata will be a secondary database, i.e. instead of containing facts it will contain references for facts. It will be fully internationalized. It will contain inconsistent and contradictory facts, in order to represent the diversity of knowledge about a given entity.
Abstract: The collaborative Semantic Web applications produce ever changing interlinked Semantic Web data. The applications that utilize these data to obtain their results should provide explanations about how the results are obtained in order to ensure the effectiveness and increase the user acceptance of these applications. Justifications providing meta information about why a conclusion has been reached enable generation of such explanations. We present an encoding approach for justifications in a distributed environment focusing on the collaborative platforms. We discuss the usefulness of linking justifications across the Web. We introduce a vocabulary for encoding justifications in a distributed environment and provide examples of our encoding approach.
Abstract: In this paper, we study tools for providing assistance to users in distributed spaces. More precisely, we focus on the activity of collaborative construction of knowledge, supported by a network of distributed semantic wikis. Assisting the users in such an activity is made necessary mainly by two factors: the inherent complexity of the tools supporting that activity, and the collaborative nature of the activity, involving many interactions between users. In this paper we focus on the second aspect. For this, we propose to build an assistance tool based on users interaction traces. This tool will provide a contextualized assistance by leveraging the valuable knowledge contained in traces. We discuss the issue of assistance in our context and we show the different types of assistance that we intend to provide through three scenarios. We highlight research questions raised by this preliminary study.
Abstract: This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or specific tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now benefit from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration.
Abstract: In this paper we outline the design and implementation of the eDialogos Consensus process and platform to support wide-scale collaborative decision making. We present the design space and choices made and perform a conceptual alignement of the domains this space entails, based on the use of the eDialogos Consensus ontology as a crystallization point for platform design and implementation as well as interoperability with existing solutions. We also present a
metric for calculating agreement on the issues under debate in the platform, incorporating argumentation structure and user feedback.
Abstract: Social semantic web opens interesting perspectives for man-machine collaboration. It creates read/write spaces where users and smart agents can collaborate to produce knowledge readable by humans and machines. However, this process is not always safe, especially because many unpredictable errors can occur when knowledge is modied online. In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system.
Abstract: DBpedia is the semantic mirror of Wikipedia. DBpedia extracts information from Wikipedia and stores it in a semantic knowledge base. This semantic feature relies in making complex queries inferring relations among articles which sometimes are missing in Wikipedia. This difference generates an information gap between DBpedia and Wikipedia. Could be improved Wikipedia with DBpedia new information to reduce this gap? How this new information should be added to Wikipedia? In this article, we propose a path indexing algorithm (PIA) who takes a data set of a DBPedia query and returns the best representative path to be applied in the Wikipedia. We evaluate the
results of applying PIA to express the relation between people and their birth city.
Abstract: Social semantic web technologies led to huge amounts of data and information being available. The production of knowledge from this information is challenging, and ma- jor efforts, like DBpedia, has been done to make it reality. Linked data provides interconnection between this informa- tion, extending the scope of the knowledge production. The knowledge construction between decentralized sources in the web follows a co-evolution scheme, where knowledge’s generated collaboratively and continuously. Sources are also autonomous, meaning that they can use and publish only the information they want. The updating of sources with this criteria is intimately re- lated with the problem of synchronization, and the consis- tency between all the replicas managed. Recently, a new family of algorithms called Commutative Replicated Data Types have emerged for ensuring eventual consistency in highly dynamic environments. In this paper, we define SU-Set, a CRDT for RDF-Graph that supports SPARQL Update 1.1 operations.
Abstract: This paper addresses the concepts of community and online community and discusses the physical, functional, and symbolic characteristics of a community that have formed the basis for traditional definitions. It applies a four-dimensional perspective of space and place (i.e., shape, structure, context, and experience) as a framework for refining the definition of traditional offline communities and for developing a definition of online communities that can be effectively operationalized. The methods and quantitative measures of social network analysis are proposed as appropriate tools for investigating the nature and function of communities because they can be used to quantify the typically subjective social phenomena generally associated with communities.