This document discusses using semantic web technologies to enhance social network analysis and social CRM. It explains that semantic web ontologies can be used to represent social network data and relationships between actors in a structured way. This allows for machine-processible analysis of social networks and more sophisticated social-semantic applications to be developed. As an example, it describes Flink, a system that used semantic web technologies to analyze the social networks of the semantic web community.

1. Social CRM with web 3.0 RollyMaulanaAwangga awg@kitaklik.com BidangRekayasaPerangkatLunak TeknikInformatika FakultasPascasarjana InstitutTeknologi Telkom

2. Web, Now Now let’s us search

3. Who is Frank van Harmelen?

4. Show me photos of Paris

5. More… Find new music that I (might) like ? Tell me about music players with a capacity of at least 4GB. ?

6. Get the right information? Or still confused?

7. Diagnosis: A lack of knowledge The semantic solution

8. Web 2.0 + SemanticWeb =Web 3.0? in terms of technology what the Semantic Web can offer to the Web 2.0 community is a standard infrastructure for the building creative combinations of data and services

9. Social Network Analysis Social Network Analysis (SNA) is the study of social relations among a set of actors. The key difference between network analysis and other approaches to social science is the focus on relationships between actors rather than the attributes of individual actors. Network analysis takes a global view on social structures based on the belief that types and patterns of relationships emerge from individual connectivity and that the presence (or absence) of such types and patterns have substantial effects on the network and its constituents.

10. Key : Its about The relation, doesn’t only for individual attribute

11. Most network analysis methods work on an abstract, graph based representation

12. The 2D lattice model of networks (left). By connecting the nodes on the opposite borders of the lattice we get a toroidal lattice (right)

13. A tree is a connected graph where there are no loops and paths leading from a vertex to itself

14. Most real world networks show a structure where densely connected subgroups are linked together by relatively few bridges

15. The site theyrule.net visualizes the interconnectedness of the American political

16. ontology-based Knowledge Representation techniques to representation and aggregation social network data

17. The Semantic Web in envisioned as a network of ontologies that adds machine-processable semantics to existing web content, including Web resources and databases

18. The Descriptions and Situations ontology design pattern.

19. An instantiation of the Descriptions and Situations pattern for social relationships.

20. Developing social-semantic applications

21. The generic design of SemanticWeb applications using Sesame and Elmo

22. Flink: the social networks of the Semantic Web community

23. The architecture of Flink

24. Thank’s

25. Reference Mika, Peter,Social Network and Semantic Web.