Program

Welcome to the homepage for the forthcoming 
SWCS@ISWC2014 Workshop on Semantic Web 
Collaborative Spaces (SWCS2014). 
19th October 2014 in Tretino, 
Italy in conjunction with ISWC2014 

Program (19th October Afternoon)
    Welcome 14:00-14:05 (Pascal Moli)

    14:05-15:00 Session 1- Modeling Collaborative Communities (Session Chair Pascal Molli)
    User Profile Modeling in Online Communities. Miriam Fernandez & Harith Alani & Arno Scharl & Kalina Bontcheva.

    Collaborative Semantic Tables. Anna Goy & Diego Magro & Giovanna Petrone & Marino Segnan.

    15:00-15:30 Session 2 Application of Semantic Collaboration I (Session Chair Maria-Esther Vidal)

    Okkam Synapsis: a community-driven hub for sharing and reusing mappings across vocabularies. Stefano Bortoli & Paolo Bouquet & Barbara Bazzanella

    Coffee Break 15:30-16:00

    16:00-16:25 Session 2 Application of Semantic Collaboration II (Session Chair Maria-Esther Vidal)

    SPARQL Query Result Explanation for Linked Data. Rakebul Hasan & Kemele M. Endris & Fabien Gandon

    16:25-17:20 Session 3: Semantic Media Wiki Communities (Session Chair Maria-Esther Vidal)


    Characterizing and Predicting Activity in Semantic MediaWiki Communities. Simon Walk & Markus Strohmaier

    Generating Semantic Media Wiki Content from Domain Ontologies. Dominik Filipiak & Agnieszka Lawrynowicz

    17:20-17:30 Discussion and Closing (Pascal Moli and Maria-Esther Vidal)

List of accepted Papers

  • Stefano Bortoli, Paolo Bouquet and Barbara Bazzanella. Okkam Synapsis: a community-driven hub for sharing and reusing mappings across vocabularies Abstract: In the past 10-15 years, a large amount of resources have been devoted to develop highly sophisticated and effective tools for automated and semi-automated schema-vocabulary-ontology matching and alignment. However, very little effort has been made to consolidate the outputs, in particular to share the resulting mappings with the community of researchers and practitioners, support a community-driven revision/ evaluation of mappings and make them reusable. Yet, mappings are an extremely valuable asset, as they provide an integration map for the web of data and the "glue" for the Global Giant Graph envisaged by Tim Berners-Lee. Aiming at kicking-off a positive endeavor, we have developed Synapsis, a platform to support a community-driven lifecycle of contextual mappings across ontologies, vocabularies and schemas. Okkam Synapsis offers utilities to load, create, maintain, comment, subscribe, and define levels of agreement over user dened contextual mappings available also through REST services.
  • Anna Goy, Diego Magro, Giovanna Petrone and Marino Segnan. Collaborative Semantic Tables Abstract: The scenario defined by current Web architectures and paradigms (such as Cloud Computing), poses challenges and opportunities to users. On the one hand, they have to manage huge amounts of digital resources handled by different applications in spite of their possibly related content; on the other hand, they are enabled to share knowledge and participate to content creation. The interaction of these two aspects provided a great impulse to collaborative resource management: in this paper we present T++, an environment that exploits semantic knowledge about digital resources in order to provide an integrated and smart management of heterogeneous information objects.
  • Simon Walk and Markus Strohmaier. Characterizing and Predicting Activity in Semantic MediaWiki Communities Abstract: Semantic MediaWikis represent shared and discretionary databases that allow a community of contributors to capture knowledge and to specify semantic features, such as properties for articles, relationships between articles, or concepts that filter articles for certain property values. Today, Semantic MediaWikis have received a lot of attention by a range of different groups that aim to organize an array of different subjects and domain knowledge. However, while some Semantic MediaWiki projects have been thriving, others have failed to reach critical mass. We have collected and analyzed a total of 79 publicly available Semantic MediaWiki instances to learn more about these projects and how they differ from each other. Further, we conducted an empirical analysis using critical mass theory on Semantic MediaWiki communities to investigate whether activity or the number of registered users (or a mixture of both) are important for achieving critical mass. In addition, we conduct experiments aiming to predict user activity and the number of registered users at certain points in time. Our work provides new insights into Semantic MediaWiki communities, how they evolve and first insights into how they can be studied using critical mass theory.
  • Miriam Fernandez, Harith Alani, Arno Scharl and Kalina Bontcheva. User Profile Modelling in Online Communities Abstract: With the rise of social networking sites user information is becoming increasingly more complex and sophisticated. The user’s needs, behaviours and preferences are dynamically changing, depending on their current activity, the information they are already aware of, and many other parameters. Existing ontology models capture the demographic information of the users as well as their activity and interactions in online communities. These vocabularies represent the raw data, but much useful information comes from filtering that data, selecting useful features, and mining the resulting information in order to uncover the most salient preferences, behaviours and needs of the users. In this paper we propose reusing and re-engineering ontological resources to provide a broader representation of the user and the dynamics that emerge from the virtual social environments in which she participates.
  • Rakebul Hasan, Kemele M. Endris and Fabien Gandon. SPARQL Query Result Explanation for Linked Data Abstract: In this paper, we present an approach to explain SPARQL query results for Linked Data where the main component in an explanation for a query is its why-provenance. We present a non-annotation-based algorithm to generate why-provenance and show its feasibility for Linked Data. We present an explanation-aware federated query processor prototype and show the presentation of our explanations. We present a user study to evaluate the impacts of our explanations. Our study shows that our query result explanations are helpful for end users to understand the result derivations and make trust judgments on the results.
  • Dominik Filipiak, Agnieszka Lawrynowicz. Generating Semantic Media Wiki Content from Domain Ontologies (short paper). Abstract: There is a growing interest in holistic ontology engineering approaches that involve multidisciplinary teams consiting of ontology engineers and non-conversant in ontology construction domain experts. For the latter, tools such as Web forms, spreadsheet like templates or semantic wikis have been developed that hide or decrease the complexity of logical axiomatisation in expressive ontology languages. This paper describes a prototype solution for an automatic OWL ontology conversion to articles in Semantic Media Wiki system. Our implemented prototype converts a branch of an ontology rooted at the user defined class into Wiki articles and categories. The final result is defined by a template expressed in the Wiki markup language. We describe tests on two domain ontologies with different characteristics: DMOP and DMRO. The tests show that our solution can be used for fast boostraping of Semantic Media Wiki content from OWL files.