Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Social CRM with web 3.0


Published on

Social customer relationship management development with web 3.0 concept

Published in: Business

Social CRM with web 3.0

  1. 1. Social CRM with web 3.0<br />RollyMaulanaAwangga<br /><br />BidangRekayasaPerangkatLunak<br />TeknikInformatika<br />FakultasPascasarjana<br />InstitutTeknologi Telkom<br />
  2. 2. Web, Now<br />Now let’s us search<br />
  3. 3. Who is Frank van Harmelen?<br />
  4. 4. Show me photos of Paris<br />
  5. 5. More…<br />Find new music that I (might) like ?<br />Tell me about music players with a capacity of at least 4GB. ?<br />
  6. 6. Get the right information?<br />Or still confused?<br />
  7. 7. Diagnosis: A lack of knowledge<br />The semantic solution<br />
  8. 8. Web 2.0 + SemanticWeb =Web 3.0?<br /> 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<br />
  9. 9. Social Network Analysis<br />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. <br />
  10. 10. Key : Its about The relation, doesn’t only for individual attribute<br />
  11. 11. Most network analysis methods work on an abstract, graph based representation<br />
  12. 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)<br />
  13. 13. A tree is a connected graph where there are no loops and paths leading from a vertex to itself<br />
  14. 14. Most real world networks show a structure where densely connected subgroups are linked together by relatively few bridges<br />
  15. 15. The site visualizes the interconnectedness of the American political<br />
  16. 16. ontology-based Knowledge Representation techniques to representation and aggregation social network data<br />
  17. 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<br />
  18. 18. The Descriptions and Situations ontology design pattern.<br />
  19. 19. An instantiation of the Descriptions and Situations pattern for social relationships.<br />
  20. 20. Developing social-semantic applications<br />
  21. 21. The generic design of SemanticWeb applications using Sesame and Elmo<br />
  22. 22. Flink: the social networks of the Semantic Web community<br />
  23. 23. The architecture of Flink<br />
  24. 24. Thank’s<br />
  25. 25. Reference<br />Mika, Peter,Social Network and Semantic Web.<br />