3.3 Social Networks and Semantic Web
From semanticweb.org
Main Contributors:
name surname - affiliation (University or company) (e-mail address)
Anna V. Zhdanova - University of Surrey (a.zhdanova at surrey.ac.uk)
See the list of contributors
Notice that the cotributor has to add her/his CV to the list of contributors
- 1. CURRENT TRENDS IN SEMANTIC WEB (In the following part we intend to identify the state of the art of Semantic Web based theories, methods, applications and tools in your research field.)
- 1.1. One or more examples (case studies) in which semantic web has been used.
Name of the institutions: all using “shallow” ontologies: from LinkedIn to BBC Industry / sector: Social software, media Business activities improved by the SW solutions: Aggregation, exchange and sharing of personal information, news Research Needs: Design and adoption of ontologies covering other reasonable sides of human activities Name of the project: n/a Tools and applications implemented in the project: Use of ontologies and shared schemata such as FOAF, vCard, RSS
- 1.2. The first 4 Semantic Web based tools used in your research fields.
Name: Protege Website: http://protege.stanford.edu/ White paper: n/a Main characteristics: Ontology editor Open problems: Scalability. Needs improvement of usability features, robustness
Name: Jena
Website: http://jena.sourceforge.net White paper: n/a Main characteristics: A Semantic Web Framework for Java. Ontology API and implementation, supports RDF(S), OWL, performs basic ontology management and reasoning (similar idea as Xerces for XML) Open problems: Scalability: works slowly on large volumes of data
Name: Sesame
Website: http://openrdf.com/ White paper: n/a Main characteristics: A Semantic Web Framework for ontology management Open problems: Support only of quite limited number of language constructions
Others: * if you like, add other tools
- 1.3. A short summary of the first 3 best papers in the field.
Reference: Staab, S., Angele, J., Decker, S., Erdmann, M., Hotho, A., Maedche, A., Schnurr, H. -P., Studer, R., Sure, Y., 2000. Semantic Community Web Portals. Computer Networks 33 (2000), pp. 473-491.
Short abstract: Community web portals serve as portals for the information needs of particular communities on the web. We here discuss how a comprehensive and flexible strategy for building and maintaining a high-value community web portal has been conceived and implemented. The strategy includes collaborative information provisioning by the community members. It is based on an ontology as a semantic backbone for accessing information on the portal, for contributing information, as well as for developing and maintaining the portal. We have also implemented a set of ontology-based tools that have facilitated the construction of our show case - the community web portal of the knowledge acquisition community.
Reference: Peter Mika. Ontologies are us: A unified model of social networks and semantics. Proceedings of the 4th International Semantic Web Conference (ISWC 2005), LNCS 3729, Springer-Verlag, 2005.
Short abstract: In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.
Reference: Zhdanova, A.V., Krummenacher, R., Henke, J., Fensel, D. "Community-Driven Ontology Management: DERI Case Study". In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, 19-22 September 2005, Compiegne, France, IEEE Computer Society Press, pp. 73-79 (2005).
Short abstract: We introduce the concept of community-driven ontology management and demonstrate the added value to conventional ontology management of being community-driven. Further, we present an implementation of an infrastructure supporting community-driven ontology management. The implemented infrastructure was deployed as a part of the intranet at DERI – Digital Enterprise Research Institute, and the community’s response and behavior were observed. The results obtained prove feasibility and advantages of community-driven ontology management.
Others" are available at ....
- 1.4. A short list of open problems in theories and methods.
* problem -- level of relevance (very low, low, medium, high, very high) -- will be solved in the (short, medium, long) term notice that short time is 0-3 years; medium time is 3-6 years; long term is 6-10 years.
- 2. TRENDS ON THEORIES AND METHODS, SERVICES AND APPLICATIONS
- 2.1. Research projects in which contributors are involved, along with a general description. Moreover, suggest for each project the possible future uses and applications related to the Semantic Web, the acceptance and diffusion in each period considered, the benefits, and the problems that will be probably occur.
Name of the project: ExpertFinder
Type: starting, initiative
Duration:
Partners: Research Institution and Industrial Partners:
Core activities:
* name of activity Combining ontologies and enabling technologies for the task of expert finding
-- level of relevance high -- will be solved in the (short, medium, long) term
Market opportunities:
* element
-- in the short term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the medium term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the long term (10 years) (very low, low, medium, high, very high)acceptance and diffusion in the market
Benefits for industry and practitioners:
* element
-- in the short term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the medium term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the long term (10 years) (very low, low, medium, high, very high)acceptance and diffusion in the market
Technological Problems (missing theories and methods):"
* element or issue -- level of relevance -- will be solved in the (short, medium, long) term
Technological Problems (missing tools)
* element issue -- level of relevance -- will be solved in the (short, medium, logn) term
Name of the project: NEPOMUK, http://nepomuk.semanticdesktop.org/
Type: EU IP
Duration:
Partners: Research Institution and Industrial Partners: led by DFKI and has 15 more partners
Core activities:
* name of activity Personal information managment
-- level of relevance high -- will be solved in the (short, medium, long) term
Market opportunities:
* element
-- in the short term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the medium term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the long term (10 years) (very low, low, medium, high, very high)acceptance and diffusion in the market
Benefits for industry and practitioners:
* element
-- in the short term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the medium term (very low, low, medium, high, very high) acceptance and diffusion in the market
-- in the long term (10 years) (very low, low, medium, high, very high)acceptance and diffusion in the market
Technological Problems (missing theories and methods):"
* element or issue -- level of relevance -- will be solved in the (short, medium, long) term
Technological Problems (missing tools)
* element issue -- level of relevance -- will be solved in the (short, medium, logn) term
Other projects: if you know add other projects
- 2.2. Some topics that will not be solved in short and medium term, for each of them there is a short explanation of the main reasons and (if possible) some references.
Topics: Legal aspects of sharing and use of the data on portals, and making the enterprises/projects aware of them. And consistency of these laws in different countries around the world. As well as single sign on and accepted by all regulations to sharing of data across applications. Reason: types of data, and their usage possibilities rapidly change with the appearance of new applications and services on the (Semantic) Web. Slow legal base has no chance to keep up. Wrt data sharing, certain information is always confidential and would not be available to be shared. Reference: O'Murchu, I., Zhdanova, A.V., Breslin, J. "Semantic Community Portals". Encyclopaedia of Portal Technology and Applications (Ed.: Tatnall, A.), Idea Group Publishing, to appear (2006). URL: http://www.ee.surrey.ac.uk/Personal/A.Zhdanova/papers/semantic_community_portals.pdf.
- 3. TRENDS ON TOOLS
- 3.1. A list of the most relevant semantic based demos in the area.
Name: Flink Description: Flink is a website presenting the social networks and research of the Semantic Web research community. Flink uses Semantic Web technology for the storage, management and visualization of social network data. Website: http://flink.semanticweb.org Main features: * browsing of profiles and networks of people working in the area of Semantic Web Open problems: * limited knowledge acquisition -- relevant -- will be solved in the medium term
Name: Flickr, 43places, all the systems allowing collaborative tagging
Description:
Website:
Main features:
* sharing of items together with profile info and buddy lists
Open problems:
* No deep use of semantics => integration challenges once in need to integrate with other systems -- relevant -- will be solved in the medium term
Name: LinkedIn, Orkut, all the systems allowing explicit social networking
Description:
Website:
Main features:
* allows linking up with people and searching for them
Open problems:
* No deep use of semantics => integration challenges once in need to integrate with other systems -- relevant -- will be solved in the medium term
- 3.2. A short description of tools that are still missing. A description of business activities and problems they should solve, will be provided.
Name and functionalities: Robust tool that would let communities to create and manage their ontologies, see an ideologically related system http://base.google.com Business acrivities and problems they should solve:
Matching across similar tags, Making the community-driven systems more usable and personalized, Integration and merge of community/social networking Web applications with the mobile applications of a similar character
- 4.Please feel free to add any comment or suggestion.
