1. * Faculty of Electrical Engineering, Instituto Superior Politécnico José A Echeverría, Marianao, La Habana. Cuba +InfoAsset AG, Munich. Germany # Informatics Department, Technische Universität München, Munich. Germany Architecting intelligent content management software as a service for Cuba’s enterprises Adrian Hernández-Méndez*, Nastaran Matthes+, and Florian Matthes#

2. Technische Universität München © sebis 140709 Matthes Architecting intelligent content management services 2 13 Faculties  Mathematics & Informatics  Natural Sciences  Engineering & Architecture  Life Sciences & Medicine  Economics & Education 32.000 Students 2.800 Informatics Faculty 478 Professors 48 Informatics Faculty 13 Nobel Prize winners * 2012

3. 1. Intelligent Content Management Software  What is intelligent content (IC)?  What is intelligent content management software? 2. A Model-Based ICMSaaS Architecture  Architectural overview  A practical example  ICMSaaS as a platform for data-intensive apps 3. Summary and Future Research Overview © sebis 140709 Matthes Architecting intelligent content management services 3

4. Our model of IC has three components: 1.Content types e.g. Contact, Task, Opportunity 2.Relations between content types e.g. Assigned_To, Reponsible 3.Relations between similar instances Intelligent content (IC) has two main properties: It is structurally rich and semantically categorized. These properties are sufficient for making IC automatically discoverable, reusable, reconfigurable, and adaptable (Rockley & Cooper, 2012). What is intelligent content? (1/2) © sebis 140709 Matthes Architecting intelligent content management services 4 Schema, Taxonomy, Ontology Database, Content Repository, File System All three can change over time

5. A (content) Instance has 1.Fields of basic data types (text, file, hypertext, image, number, enumeration)  Maybe multi-valued 2.Relations to other instances  Associations(can be traversed in both directions)  Aggregation hierarchy 3.A content type that semantically categorizes the instance and constrains  the structure of the instance  and its possible relations to other instances All three can change dynamically over time. What is intelligent content? (2/2) © sebis 140709 Matthes Architecting intelligent content management services 5

6. Examples of content types © sebis 140709 Matthes Architecting intelligent content management services 6 Contact …

7. Inference and discovery of content types © sebis 140709 Matthes Architecting intelligent content management services 7

8. CRUD Bidirectional linking Data widgets Classification & Tagging Google + search Navigation, Discussion Alerting & Awareness Uniform Services for Web & Desktop What is intelligent content management software? 140709 Matthes Architecting intelligent content management services Hierarchical Groups, Access Control Lists Single Sign On Customer CommunitiesPartnersEmployees Suppliers Contacts Personal Profile Blogs Web LinksNotes Semi-structured Content (collect, organize, edit) Office Documents Personal Content Office Documents Work Spaces (share, communicate) TemplatesTasks News Wikis Forum Teamwork Customer Task OpportunityStatistics Company Other Information Business Objects (access, manage) Enterprise Content © sebis8 Types, Relations, Hypertext, Tags

9. 1. Intelligent Content Management Software  What is intelligent content (IC)?  What is intelligent content management software? 2. A Model-Based ICMSaaS Architecture  Architectural overview  A practical example  ICMSaaS as a platform for data-intensive apps 3. Summary and Future Research Overview © sebis 140709 Matthes Architecting intelligent content management services 9

10. Architectural Overview © sebis 140709 Matthes Architecting intelligent content management services 10 Project Management Contact Management Risk Management Storage Layer Data Modeling Layer Access Control Layer Computation Layer Coordination Layer Visualization and Interaction Layer Enterprise Architecture Management Intelligent content management platform (as a service) Problem-specific applications Self-describing Content Data Models Authorization Models Methods & Functions Tasks & Cases View Models

11. Generic model-driven visualization of intelligent content (1/2) © sebis11 Fields 140709 Matthes Architecting intelligent content management services Relations Inverse Relations Content Type Unstructured Content

12. Generic model-driven visualization of intelligent content (2/2) © sebis 140709 Matthes Architecting intelligent content management services 12 Visit http://wwwmatthes.in.tum.de and www.infoAsset.de for more information on Hybrid Wikis and Tricia.http://wwwmatthes.in.tum.dewww.infoAsset.de Aggregated Content

13. Visualizing intelligent content (Tricia data widgets) © sebis 140709 Matthes Architecting intelligent content management services 13

14. Visualizing intelligent content (Tricia data widgets) © sebis 140709 Matthes Architecting intelligent content management services 14

15. Visualizing intelligent content (Tricia data widgets) © sebis 140709 Matthes Architecting intelligent content management services 15 Link

16. German companies & institutions using the Tricia intelligent content management platform © sebis 140709 Matthes Architecting intelligent content management services 16

17. .g 1. Intelligent Content Management Software  What is intelligent content (IC)?  What is intelligent content management software? 2. A Model-Based ICMSaaS Architecture  Architectural overview  A practical example  ICMSaaS as a platform for data-intensive apps 3. Summary and Future Research Overview © sebis 140709 Matthes Architecting intelligent content management services 17

18. Key benefits © sebis 140709 Matthes Architecting intelligent content management services 18 Reduced time to market & increased flexibility Project Management Contact Management Risk Management Enterprise Architecture Management Intelligent content management platform (as a service) Problem-specific applications Self-describing Content Data Models Authorization Models Methods & Functions Tasks & Cases View Models

19. Future Work © sebis 140709 Matthes Architecting intelligent content management services 19 Intelligent Content + Calculations  Spreadsheets 2.0 Visualizations Functions / Transformations Content Users

20. Technische Universität München Department of Informatics Chair of Software Engineering for Business Information Systems Boltzmannstraße 3 85748 Garching bei München Tel+49.89.289. Fax+49.89.289.17136 wwwmatthes.in.tum.de Florian Matthes Prof.Dr.rer.nat. 17132 matthes@in.tum.de Thank you for your attention. Questions?