Lecture content management

1,869 views

Published on

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,869
On SlideShare
0
From Embeds
0
Number of Embeds
170
Actions
Shares
0
Downloads
49
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Lecture content management

  1. 1. Content ManagementSemantic CMS Community Lecturer Organization From free text input to Date of presentation automatic entity enrichment Co-funded by the 1 Copyright IKS Consortium European Union
  2. 2. Page: Part I: Foundations(1) Introduction of Content Foundations of Semantic (2) Management Web Technologies Part II: Semantic Content Part III: Methodologies Management Knowledge Interaction Requirements Engineering(3) (7) and Presentation for Semantic CMS(4) Knowledge Representation and Reasoning (8) Designing Semantic CMS Semantifying(5) Semantic Lifting (9) your CMS Storing and Accessing Designing Interactive(6) Semantic Data (10) Ubiquitous IS www.iks-project.eu Copyright IKS Consortium
  3. 3. Page: 3 What is this Lecture about? Motivation  What is content management?  Why do we need content management? Shortcomings  What are shortcomings of existing CMS?  What are approaches to overcome these shortcomings? Part I: Foundations (1) Introduction of Content Management www.iks-project.eu Copyright IKS Consortium
  4. 4. Page: 4 „We are drowning in information and starved for knowledge.“ Content is highly available through the Internet and the raising importance of cloud approaches Information are distributed over people and systems Data is available in various media and technical formats An efficient way for working with huge amounts of unstructured content. (John Naisbitt) www.iks-project.eu Copyright IKS Consortium
  5. 5. Page: 5 Who is usingContent Management Systems? www.iks-project.eu Copyright IKS Consortium
  6. 6. Page: 6The most popular CMS ... http://en.wikipedia.org www.iks-project.eu Copyright IKS Consortium
  7. 7. Page: 7 Content Management Systems CMS are a single point of entry, providing consistency and the foundations for collaborative work with content CMS provide functionalities to handle large amounts of content:  Creation of new content  Editing of existing content  Organisation and management of content  Presentation of content Media-neutral data management (separation of layout and content) www.iks-project.eu Copyright IKS Consortium
  8. 8. Page: 8 Web Content Management Systems (WCMS) “A WCMS is a program that helps in maintaining, controlling, changing and reassembling the content on a web-page [...]. The user interacts with the system at the front through a normal web browser. From there he can edit, control parts of the layout and maintain and add to the web-pages without any programming or HTML skills.” - http://www.aiim.org/ WCMS are specific CMS, that focus on the management of digital data for web applications www.iks-project.eu Copyright IKS Consortium
  9. 9. Page: 9Multi-Media ContentManagement TV shows Sports www.iks-project.eu Copyright IKS Consortium
  10. 10. Page: 10Enterprise ContentManagement (ECM) www.iks-project.eu Copyright IKS Consortium
  11. 11. Page: 11Content Management in theTourism Domain www.iks-project.eu Copyright IKS Consortium
  12. 12. Page: 12 State of Play in Content Management Current solutions provide efficient ways to manage content Domain-specific requirements, like “multichannel content distribution” are addressed Content can be managed and presented in multi-media formats www.iks-project.eu Copyright IKS Consortium
  13. 13. Page: 13What am I searching for? Are you looking for a cat or a car? www.iks-project.eu Copyright IKS Consortium
  14. 14. Page: 14 Shortcomings of “traditional” CMS Contentis only “understandable” by users and not by machines  Irrelevant search results  Aggregation of relevant content needs to be done manually Inferring Knowledge from Content  Dependencies, relations and inconsistencies among content items need to be identified and defined manually www.iks-project.eu Copyright IKS Consortium
  15. 15. Page: 15 Requirements on CMS Search  Searching for keywords instead of formulating questions  Manual identification and selection of relevant content  Aggregation of content (possibly from different sources) needs to be done by the user Content-and context-aware creation and presentation of content  Interaction with content on the users level of knowledge www.iks-project.eu Copyright IKS Consortium
  16. 16. Page: 16 How can we improve Content ManagementSystems to overcome these shortcomings? www.iks-project.eu Copyright IKS Consortium
  17. 17. Page: 17Web evolution Slide by Nova Spivack, Radar Networkswww.iks-project.eu 17
  18. 18. Page: 18 The Semantic Web Thevision of the Semantic Web has been originally proposed by Tim Berners-Lee “TheSemantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” [The Semantic Web, 2001] Data can be processed manually by users and in an automated way www.iks-project.eu Copyright IKS Consortium
  19. 19. Page: 19What are we talking about? Data Information ?Knowledge Wisdom www.iks-project.eu Copyright IKS Consortium
  20. 20. Page: 20 Data “Datais defined as a symbol that represents a property of an object, an event or their environment. It is the product of observation but is of no use until its in a usable (that is, relevant) form. The difference between data an information is functional not structural.” [Ackoff1989] Examples:  “John Smith” www.iks-project.eu Copyright IKS Consortium
  21. 21. Page: 21 Information “Information is contained in descriptions, answers to questions that begin with such words as „who‟, „what‟, „when‟ and „how many‟. Information systems generate, store, retrieve and process data. Information is inferred from data.” [Ackoff1989] Examples:  “John Smith is a name.” www.iks-project.eu Copyright IKS Consortium
  22. 22. Page: 22 Knowledge “Knowledge is know-how, and is what makes possible the transformation of information into instruction. Knowledge can be obtained either by transmission from another who has it, by instruction, or by extracting it from experience.” [Ackoff1989] Example:  “John Smith is a potential customer for your products.” www.iks-project.eu Copyright IKS Consortium
  23. 23. Page: 23 Wisdom “Wisdom is the ability to increase effectiveness. Wisdom adds value, which requires the mental function that we call judgement. The ethical and aesthetic values that this implies are inherent to the actor and are unique and personal.” [Ackoff1989] “Knowledge is knowing that Example: a tomato is a fruit; wisdom  „It would be right/wrong to sell the is knowing not to put it in a fruit salad.” product to John Smith.“ Brian ODriscoll www.iks-project.eu Copyright IKS Consortium
  24. 24. Page: 24 DIKW Hierarchy “Information is not knowledge, Knowledge is not wisdom, Wisdom is not truth, Truth is not beauty, Beauty is not love, Love is not music, and Music is the best.” Wisdom Frank Zappa, "Packard Goose" Knowledge Insight Meaning Information Data Context[Ackoff1989] www.iks-project.eu Copyright IKS Consortium
  25. 25. Page: 25 Lessons Learned Understand the need for an efficient content management solution What are the different „types“ of CMS and what do they provide? The shortcomings of existing content management solutions. Distinction among the terms in the DIKW pyramide (data, information, knowledge, wisdom) www.iks-project.eu Copyright IKS Consortium
  26. 26. Page: 26 Literature Ackoff, Russell (1989). "From Data to Wisdom". Journal of Applied Systems Analysis www.iks-project.eu Copyright IKS Consortium

×