1. 1 Dr Alexiei Dingli Introduction to Web Science Conclusion

2. 2 Where would you use it? How would you use it? Do you see a need of Web Science?

3. 3 Documented information and knowledge of organizations –lies in relational databases of specific applications, within text-based documents, web-based collaboration applications, etc. Programs typically do not freely interchange data within an organization, let alone between organizaitons Business Data Integration

4. 4 Enterprise application integration (EAI) software –require significant customization and maintenance of common data models, and are therefore often quite expensive, troublesome, and require constant attention SW technologies looks to be an alternative method for extracting data from a wide array of applications in a usable form Business Data Integration

5. 5 Uses advanced pattern matching techniques Associate meaning with unstructured text Used by NASA to sort huge quantities of data Case Study: Autonomy

6. 6 Captures task information Stores it in a knowledge base A reasoning engine and agent technologies are used to interpret the knowledge Disputes reduced from 8 days to 8 hours Case Study: Celcorp (1)

7. 7 Case Study: Celcorp (2)

8. 8 Brandsoft - Resource Manager uses semantic web technology to manage enterprise web content and applications ClearForest - Text-based bridge between structured and unstructured data Cogito - knowledge management solution that accesses data from various databases then ' atomizes ' it, automatically creating documents, etc. Contivo - Vocabulary Management Solution uses dictionary and thesaurus in its integrator to access semantic information from legacy and flat file data Cyscom - semantic data integration engine that structures MS Office data for ERP and other business applications The list can keep on going... (1)

9. 9 Empolis - solutions for rationalizing business processes and processing both structured and unstructured information Enigmatec - Execution Management System is targeted at companies who want to build agile applications that take advantage of grid computing HP - HP has a semantic web research group that, among other things, developed ' Jena ' - a semantic web toolkit IBM - IBM ' s Institute of Search and Text Analysis, among other things, developed an "Unstructured Information Management Architecture" Metatomix - leverages semantic web based technologies to build enterprise resource interoperability platforms that correlate data from multiple sources The list can keep on going... (2)

10. 10 Pantero - engine that uses metadata to model data exchange across service oriented architectures (SOAs) Semagix - Freedom architecture at the core of semantic web based solutions for content & knowledge management, homeland security, and anti-money laundering Semaview - semantic web based calendaring (excellent semantic web intro white paper) TopQuadrant - offers semantic web based consulting services working off of ' capability cases, ' or best practices for specific issues Tucana - semantic web suite of products and services targeted at enterprise information integration The list can keep on going... (3)

11. 11 UB Access - Semantic Web Accessibility Platform enables companies to make web content accessible through "non- invasive" technologies Unicorn - consulting-based product that creates custom information model and maps existing data to that model The list can keep on going... (4)

12. 12 Gartner´s Emerging Technologies Hype Cycle –assesses the maturity, impact and adoption speed of 36 key technologies and trends during the next ten years –2006’s hype cycle highlights three major themes Web 2.0 Real World Web Applications Architecture Where are we heading... ?

13. 13 Understanding the graph... (1)

14. 14 Understanding the graph... (2)

15. 15 2006...

16. 16 2007...

17. 17 2008...

18. 18 2009 and beyond...

19. 19 http://challenge.semanticweb.org/ The Semantic Web Challenge

20. 20 apply Semantic Web techniques in order to build an online application that integrates, combines, and deduces information needed to assist users in performing tasks What is its objective?

21. 21 Data 1.Have semantics (meaning) defined using formal methods 2.Be manipulated in such a way that new useful information is derived 3.The information processing must play a central role in the application Information sources should 1.Be derived from different sources 2.Have different ownerships 3.Contain real world data All applications must assume an open domain (information is not complete) What should a good application have?

22. 22 –Learn about the WWW, Web 2.0 (patterns, etc), the Semantic Web (cake, etc) –Learn about knowledge management and the knowledge life cycle –Take a peak at the future –Learnt about the various XML Technologies –Learnt to develop applications using Ruby on Rails –And learnt loads of examples in the process... What did you learn from this course?

23. 23 Questions? Good luck!