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2nd workshop on Social Data on the Web (SDoW2009)

Washington DC (USA), October 25, 2009


Oct 27, 2009:
Check online the social content of the workshop: flickr, twitter, identi.ca, facebook, technorati, etc...
Oct 25, 2009:
Workshop day!
Oct 24, 2009:
The workshop data is now in Dog Food: http://data.semanticweb.org/workshop/sdow/2009.
Oct 17, 2009:
Workshop program released.
Oct 15, 2009:
Proceedings are now online at http://ceur-ws.org/Vol-520.
Oct 13, 2009:
Confirmed a keynote by Meena Nagarajan (Wright State University).
Sep 10, 2009:
Published list of accepted papers; congratulations to the authors.
Aug 10, 2009:
Closed submissions' form.
Jul 20, 2009:
Submissions deadline extended until August 10th.
Jun 15, 2009:
Call for Papers is out.
May 23, 2009:
Workshop selected to be held as part of ISWC 2009.


The full proceeding of SDoW2009 are published in CEUR.

Proceedings of the 2nd Social Data on the Web workshop (SDoW2009)
Time Presentation Type
09:00-09:15 Workshop introduction
John Breslin, Uldis Bojārs, Alexandre Passant and Sergio Fernández
09:15-09:40 Understanding and Exploiting Social Data - What, Why and How people write on Social Media
Meena Nagarajan
09:40-10:05 The NoTube Beancounter: Aggregating User Data for Television Programme Recommendation (abstract)
Chris van Aart, Lora Aroyo, Yves Raimond, Dan Brickley, Guus Schreiber, Michele Minno, Libby Miller, Davide Palmisano, Michele Mostarda, Ronald Siebes and Vicky Buser

In this paper we present our current experience of aggregating user data from various Social Web applications and outline several key challenges in this area. The work is based on a concrete use case: reusing activity streams to determine a viewer's interests and generating television programme recommendations from these interests. Three system components are used to realise this goal: (1) an intelligent remote control: iZapper for capturing viewer activities in a cross-context television environment; (2) a backend: BeanCounter for aggregation of viewer activities from the iZapper and from different social web applications; and (3) a recommendation engine: iTube for recommending relevant television programmes. The focus of the paper is the BeanCounter as the first step to apply Social Web data for viewer and context modelling on the Web. This is work in progress of the NoTube project.

full paper
10:05:10:30 Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL (abstract)
Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle and Michael Grossniklaus

Social semantic data are becoming a reality, but apparently their streaming nature has been ignored so far. Streams, being unbounded sequences of time-varying data elements, should not be treated as persistent data to be stored “forever” and queried on demand, but rather as transient data to be consumed on the fly by queries which are registered once and for all and keep analyzing such streams, producing answers triggered by the streaming data and not by explicit invocation. In this paper, we propose an approach to continuous queries and real-time analysis of social semantic data with C-SPARQL, an extension of SPARQL for querying RDF streams.

full paper
10:30-11:00 Coffee break
11:00-11:15 Mapping between Digital Identity Ontologies through SISM (abstract)
Matthew Rowe

Various ontologies are available defining the semantics of digital identity information. Due to the rise in use of lowercase semantics, such ontologies are now used to add metadata to digital identity information within web pages. However concepts exist in these ontologies which are related and must be mapped together in order to enhance machine- readability of identity information on the web. This paper presents the Social identity Schema Mapping (SISM) vocabulary which contains a set of mappings between related concepts in distinct digital identity ontologies using OWL and SKOS mapping constructs.

short paper
11:15-11:40 Multiple Personalities on the Web: A Study of Shared Mboxes in FOAF (abstract)
Jennifer Golbeck, Thameem Khan, Nilay Sanghavi and Nishita Thakker

The Friend-of-a-Friend Vocabulary (FOAF) is used in many online social networks to represent information about users and their friendships. Previous work has looked at how FOAF can be used to merge accounts across social networks. We often consider that merging as a benefit to the user, connecting their personal information and friend lists which would otherwise stay isolated. However, users may create multiple accounts - even on the same network - to intentionally separate their data. FOAF makes it equally easy to merge these accounts. In this paper, we are interested in the impact Semantic Web reasoning - with no additional data mining technology - can be used to resolve multiple accounts and the implications that has for privacy and safety online. We crawled FOAF profiles from all the social networking website that generate it, and looked at the profiles of individuals with multiple accounts to understand how they were using these accounts and why they were created. We present the results of this analysis and discuss the implications.

full paper
11:40-12:05 FOAF on Air - Context-aware User Profiles for the Social Web (abstract)
Sebastian Boehm and Marko Luther

In this work we report about the automatic creation of dynamic user profiles that combine personal data from diverse social networks with context information recorded by IYOUIT, a mobile community service in the field of context awareness. Data mining algorithms are applied to learn about users and their preferences over time. Rich, semantically annotated Friend of a Friend (FOAF) profiles are created on demand, and thus always reflect the latest level of information. Existing extensions and potential enhancements of FOAF are discussed.

full paper
12:05-12:30 Folksonomy Resources as a Data Source for the Social Data in Semantic Web (abstract)
Francisco Echarte, José Javier Astrain, Alberto Córdoba and Jesús Villadangos

The increasing popularity of folksonomies has made them interesting as a tool to bridge the gap between Web 2.0 and the Semantic Web. This paper describes a modular and generic method (ACoAR) for the automatic classification of the resources tagged in a folksonomy, using semantic measures and a reduced number of relevant tags. Generic since it applies to both narrow and broad folksonomies, and modular since it allows the integration of different techniques and algorithms. ACoAR updates this classification as the folksonomy evolves. ACoAR is validated using a del.icio.us sample set to obtain a set of classification concepts. The accuracy of ACoAR to classify new resources is analyzed obtaining a well classification rate of 93% of the analyzed resources.

full paper
12:30-14:15 Lunch break
14:15-14:40 The Mobile Wine Agent: Pairing Wine with the Social Semantic Web (abstract)
Evan Patton and Deborah McGuinness

The Tetherless World Mobile Wine Agent is a Semantic Web application for making wine and food recommendations to users. In order to make the interface easier for users, instances are generated through a common interface that uses data from the underlying ontology to drive user interaction. The agent is being integrated with social applications, such as Facebook and Twitter, to allow users to leverage and share generated content with other individuals on the World Wide Web. Anyone can contribute data by constructing an RDF graph and making it available over the web in XML, which the agent will read and incorporate into its internal graph. Thus, users of the wine agent can access menus published in RDF on the web. By bringing together semantics, data sharing, and extensibility, the Mobile Wine Agent demonstrates how semantics and user interactions can work in tandem to grow the Semantic Web.

short paper
14:40-15:05 Semantic History: Towards Modeling and Publishing Changes of Online Semantic Data (abstract)
Jie Bao, Li Ding and Deborah L. McGuinness

Effective revision tracking is important to maintain and use Semantic Web data for both publishers and readers. Information related to revisions in this setting often contains basic context information, semantic difference summary, and rationale summary. In this work, we present a general architecture for modeling and publishing revision history of social semantic Web data. This model has been implemented as an extension to an existing infrastructure, namely Semantic MediaWiki. We show a variety of applications that can be built using the framework, including provenance tracking, statistics, temporal reasoning and explanation.

full paper
15:05-15:30 SiocLog: Providing IRC discussion logs as Linked Data (abstract)
Tuukka Hastrup, Uldis Bojars and John Breslin

The SiocLog software application supports social networking and online collaboration by observing the instant messaging (IM) discussions on some public IRC channels, archiving the discussion logs, and publishing them as Linked Data on the Web. The application provides Web addresses (http URIs) for information from the discussion channels, including the daily discussions and the participants. Linked Data practices and the SIOC vocabulary provide a standard way to ensure that all parties can easily access the raw data, e.g. to create mash-ups. The chat participants can further provide their Web ID to link to their FOAF personal profile. This FOAF profile can confirm this link in return, helping to avoid re-entry of personal data and searching for friends on yet another social site, as well as linking to the person's accounts on other social forums: connecting their divided social presence on the Web. We present how the software is being used on some Linked Data-related IRC channels, and describe how this work connects IRC to the greater Linked Data web.

full paper
15:30-16:00 Coffee break
16:00-16:25 Freemix: Social Networking Meets Data (abstract)
Eric Miller, David Wood, Uche Ogbuji and David Feeney

This paper introduces the Freemix platform, a framework for building social networking applications that connect people with data. Freemix provides people working with ”desktop” data (such as spread- sheets, XML collections and small databases) or structured web data (RSS, ATOM news feeds, etc.) a means to publish their data in a com- mon translated format suitable for reuse. Once this data is available, Freemix allows users to create customized views of this data reflecting individual or topical preferences and share these views with others. Freemix uses Semantic Web technologies for several reasons; as a simple, flexible data model for merging, to allow simple descriptive metadata to be added to a data profile to assist the configuration of presentation options for a data set and to as a means for exposing descriptive scaffolds to Web search engines via embedded RDFa attributes. The Freemix platform is currently being used in several projects. In this article, we will discuss a couple of these briefly to help demonstrate the value of this platform. Future work currently under development will also be discussed.

full paper
16:25-16:50 Reactivity and Social Data: Keys to Drive Decisions in Social Network Applications (abstract)
Philipp Kärger, Emily Kigel and Daniel Olmedilla

Social Network applications are gaining momentum. However, equally important, privacy is being shown a crucial requirement. Nowadays, privacy preferences on Social Network applications consist only on allowing or restricting access to information based on attributes of users who are part in the very same network. This paper tries to enhance privacy and provide automatic reactions to events via a very flexible specification of privacy policies and the reasoning associated to them. In our approach it is possible to include Social Semantic data exposed on the Web into the policy definition and reasoning process. We introduce the notion of reactive Semantic Web policies offering higher control of the communications and interactions among Social Network applications and/or its users. We also present SPoX (Skype Policy Extension), which is an implementation that allows policy-driven behaviour control based on the Social Network and communication software Skype, including the capacity of automatically react in certain situations based on user-defined reactive policies such as, for instance, to automatically deny or let through Skype calls and messages based on existing online Social Web data.

full paper
16:50-17:15 Social Networks of an Emergent Massively Collaborative Creation Community - Case Study of Hatune Miku Movie on Nico Nico Douga (abstract)
Masahiro Hamasaki and Hideaki Takeda

The Web technology enables numerous people to collaborate in creation. We designate it as massively collaborative creation via the Web. It is coming to produce important activities such as Wikipedia and Yahoo Answers. As an example of massively collaborative creation, we particularly examine video development on Nico Nico Douga, which is a video sharing website that is popular in Japan. We specifically examine videos on Hatsune Miku, a version of a singing synthesizer application software that has inspired not only song creation but also songwriting, illustration, and video editing. As described herein, creators interact to create new contents though their social network. As described in this paper, we analyzed the process of developing thousands of videos based on creators’ social networks. The purpose of this paper is to investigate the relations among social networks and creation activities.

full paper
17:15-18:00 Discussion and clossing session

Aim and scope

The 2nd Social Data on the Web workshop (SDoW2009) co-located with the 8th International Semantic Web Conference (ISWC2009) aims to bring together researchers, developers and practitioners involved in semantically-enhancing social media websites, as well as academics researching more formal aspect of these interactions between the Semantic Web and Social Web.

Since its first steps in 2001, many research issues have been tackled by the Semantic Web community such as data formalism for knowledge representation, data querying and scalability, or reasoning and inferencing. More recently, Web 2.0 offered new perspectives regarding information sharing, annotation, and social networking on the Web. It opens new research areas for the Semantic Web which has an important role to play to lead to the emergence of a Social Semantic Web that should provide novel services to end-users, combining the best of both Semantic Web and Web 2.0 worlds. To achieve this goal, various tasks and features are needed from data modeling and lightweight ontologies, to knowledge and social networks portability as well as ways to interlink data between Social Media websites, leveraging proprietary data silos to a Giant Global Graph.

Following the successful SDoW2008 workshop at ISWC2008, SDoW2009 aims to bring together Semantic Web experts and Web 2.0 practitioners and users to discuss the application of semantic technologies to data from the Social Web.

Topics of Interest

We encourage contributions which will describe research proposals or implementations that deal with (but are not limited to) the following topics of interest:

  • Applications and tools using Social Semantic Web technologies
  • Creating RDF-based knowledge using social media services
  • Data Portability and Social Network Portability
  • Emerging semantic platforms for the Social Web
  • Enriching Social Web with semantic data - RDFa, microformats and other approaches
  • Linked Data on the Social Web - providing linked data from social media sites
  • Mining and analysis of Social Data
  • Ontologies for the Social Web - developing, using and extending lightweight ontologies for social media sites
  • Querying and mining social semantic data
  • Policies, authentication, security, and trust within collaborative scenarios
  • Producing Semantic Web data from social software applications
  • Reasoning for Social Web applications
  • Semantic blogging, wikis and social networks
  • Semantically-Interlinked Online Communities (SIOC)
  • Social and semantic bookmarking, tagging and annotation
  • Using Semantic Web technologies for Social Data integration


The following types of contributions are welcomed:

  • Full technical papers, up to 12 pages.
  • Short technical papers and position papers, up to 6 pages.
  • Posters and Demos, 2-3 pages with a description of the application, ideally accompanied with a link to an online demo.

Paper submissions will have to be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Submissions will be made using EasyChair Conference System, and proceedings of the papers will be provided through the CEUR online service.

Important dates

Submission deadline:
Jul 24, 2009 Aug 10, 2009 (23:59 pm Hawaii time, GMT-10)
Notification of acceptance:
Sep 04, 2009
Camera-ready paper submission:
Oct 02, 2009
Camera-ready proceedings:
Oct 09, 2009
Oct 25, 2009

Workshop Organization

The workshop will be co-located with the 8th ISWC near Washington DC (USA), and will be held on the 25th October 2009.

The workshop will consist of:

Opening session:
This will permit introduction of the workshop topics, goals, participants, and expected outcomes.
Keynote speakers:
We expect to attract at least two keynote speakers for the workshop, both from academic and industrial fields.
Brief presentations:
Contributors will be asked to submit a short position paper on how their contribution is relevant to semantically-enhanced social media sites, accepting questions during their presentations to support a more interactive environment.
Parallel demonstration and poster session:
This will involve all participants making their contribution available for examination. Posters will be accepted for contributors who are at an earlier stage of research.
Discussion session:
A panel-led discussion entitled "Enhancing social media sites with Semantic Web technologies: open problems and future research directions" will close the workshop.
Networked communication will be encouraged during the Workshop using an IRC backchannel and other services enriched with Semantic Web capabilities.

Workshop Chairs

Program Committee

  • Alessandra Toninelli, Università di Bologna, Italy
  • Chris Bizer, Freie Universität Berlin, Germany
  • Dan Brickley, FOAF Project, World & Vrije Universiteit Amsterdam, The Netherlands
  • Denny Vrandecic, DFKI, University of Karlsruhe, Germany
  • Diego Berrueta, Fundación CTIC, Spain
  • Eric Prud'hommeaux, MIT / W3C, USA
  • Fabien Gandon, INRIA, France
  • Frederick Giasson, Zitgist, Canada
  • Gunnar Aastrand Grimnes, DFKI Knowledge Management Lab, Germany
  • Harry Halpin, University of Edinburgh, UK
  • Hideaki Takeda, National Institute of Informatics, Japan
  • Hugh Glaser, University of Southampton
  • Jie Bao, Rensselaer Polytechnic Institute, USA
  • Jose E. Labra, University of Oviedo, Spain
  • Josephine Griffith, NUI Galway, Ireland
  • Kotaro Nakayama, The University of Tokyo, Japan
  • Li Ding, Rensselaer Polytechnic Institute, USA
  • Libby Miller, BBC, UK
  • Olaf Hartig, Humboldt-Universität zu Berlin, Germany
  • Mark Greaves, Vulcan Inc., USA
  • Marta Sabou, KMi, The Open University, UK
  • Masahide Kanzaki, Keio University, Japan
  • Matthew Rowe, University of Sheffield, UK
  • Meena Nagarajan, Wright State University, USA
  • Michael Hausenblas, DERI, NUI Galway, Ireland
  • Richard Cyganiak, DERI, NUI Galway, Ireland
  • Sebastien Dietzold, Universität Leipzig, Germany
  • Sofia Angeletou, KMi, The Open University, UK
  • Sören Auer, Universität Leipzig, Germany
  • Susie M. Stephens, Eli Lilly, USA
  • Stefan Decker, DERI, NUI Galway, Ireland
  • Steve Harris, Garlik, UK
  • Valdis Krebs, orgnet.com, USA
  • Yves Raimond, BBC, UK


The workshop is hosted by the ISWC 2009 conference in Washington DC (USA), so workshop attendees must pay the ISWC 2009 workshop registration fee, as well as the conference registration fee. In the main conference Web page you can find information about how to travel or accomodation in the conference venue.


For further information, please send an email to: sdow [dot] team [at] gmail [dot] com