Recommending and finding multimedia
  resources in knowledge acquisition
       based on Web resources


This work was sup...
Outline

Scenario: Learning / Knowledge Acquisition based on Web
 Resources

CROKODIL – a platform for collaborative Knowl...
Resources used for Learning and
Knowledge Acquisition

 Learning
 Resources       Web Based                  Animation
   ...
Challenges of Resource-Based
Learning using Web Resources
 RBL applied to learning with web resources rise many challenges...
Challenges of Resource based
Learning using Web Resources



                           Define Strategy
                  ...
Support of Resource based
Learning

                            Social Bookmarking              Expertsearch    Searchengi...
Why a new application?

  Using different applications add load to the user

Our scenario is characterized by:
 Heterogene...
Outline

Scenario: Resource based Learning / Knowledge Acquisition

CROKODIL – a platform for collaborative Knowledge Acqu...
Semantic Networks

   Used for knowledge representation

   Formal model
    Concepts
    (Semantic) Relations

   Directe...
Tagging

 Simple mean to organize websites, bookmarks, pictures,…
 without constraints of strict classification

 Folksono...
Concept – Semantic Tagging

Construction of a personal net of resources by semantic tagging

                        TU Be...
CROKODIL - Persist




                     KOM – Multimedia Communications Lab 12
CROKODIL - Classificate / annotate




                                     KOM – Multimedia Communications Lab 13
KOM – Multimedia Communications Lab 14
Outline

Scenario: Resource based Learning / Knowledge Acquisition

CROKODIL – a platform for collaborative Knowledge Acqu...
Finding Resources

 By browsing the Semantic Network   By browsing the CROKODIL Portal




                               ...
Recommendations

 Recommender systems
  Present information items
  to users that are likely of
  interest
  Based on impl...
Structure based Recommendation
in Semantic Networks
Recommending by traversing the
Semantic Network




                  ...
Content-Based Recommendations




                                       Computer
          Communication                N...
Outline

Scenario: Resource based Learning / Knowledge Acquisition

CROKODIL – a platform for collaborative Knowledge Acqu...
Conclusion & Outlook

 CROKODIL
  an social application for managing heterogeneous Web Resources used
  for Knowledge Acqu...
References

[SBB09+] Philipp Scholl, Bastian F. Benz, Doreen Böhnstedt, Christoph Rensing,
  Bernhard Schmitz, Ralf Steinm...
This work was supported by funds from the
German Federal Ministry of Education and
Research under the mark 01 PF 08015 A a...
KOM – Multimedia Communications Lab 24
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Christoph Rensing: Recommending and finding multimedia resources in knowledge acquisition based on Web resources - MCCC - 05.08.2010

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Christoph Rensing: Recommending and finding multimedia resources in knowledge acquisition based on Web resources - MCCC - 05.08.2010

  1. 1. Recommending and finding multimedia resources in knowledge acquisition based on Web resources This work was supported by funds from the German Federal Ministry of Education and Research under the mark 01 PF 08015 A and from the European Social Fund of the European Union (ESF). httc – Hessian Telemedia Technology Competence-Center e.V - www.httc.de KOM - Multimedia Communications Lab Prof. Dr.-Ing. Ralf Steinmetz (director) Dept. of Electrical Engineering and Information Technology Dr.-Ing. Christoph Rensing Dept. of Computer Science (adjunct professor) Tel. +49 6151 16 6888 TUD – Technische Universität Darmstadt Christoph.Rensing@KOM.tu-darmstadt.de Merckstr. 25, D-64283 Darmstadt, Germany Tel.+49 6151 166150, Fax. +49 6151 166152 www.KOM.tu-darmstadt.de ICCCN_2010_08_05 12. August 2010 © 2010 author(s) of these slides including research results from the KOM research network and TU Darmstadt. Otherwise it is specified at the respective slide
  2. 2. Outline Scenario: Learning / Knowledge Acquisition based on Web Resources CROKODIL – a platform for collaborative Knowledge Acquisition based on Web Resources Concept & Usage of Semantic Networks Finding and Recommendation of Resources Conclusion & Outlook KOM – Multimedia Communications Lab 2
  3. 3. Resources used for Learning and Knowledge Acquisition Learning Resources Web Based Animation Trainings E-Lecture Teaching … Material Social (Web) Resources Blogs WiKis FAQs Picture Coll. Bulletin/ Discussion Video Coll. Boards (Sources: slidestar.net, youtube.com, wehow.com) KOM – Multimedia Communications Lab 3
  4. 4. Challenges of Resource-Based Learning using Web Resources RBL applied to learning with web resources rise many challenges: Huge variety and quantity of possibly relevant resources Finding relevant / authoritative / trusted resources is no easy task Not explicitly intended for learning – different audiences All relevant information is not necessarily in one place How to store web resources efficiently in order to find them again Further Challenges Navigational disorientation „lost in hyperspace“ Conceptual disorientation Lack of integrating information in the own knowledge structure Cognitive Overload Finding information, analyzing found hits, organizing found information, … See [SBB09+] KOM – Multimedia Communications Lab 4
  5. 5. Challenges of Resource based Learning using Web Resources Define Strategy for Search Search Share Use Select Annotate Classificate Persist KOM – Multimedia Communications Lab 5
  6. 6. Support of Resource based Learning Social Bookmarking Expertsearch Searchengines Blogs (Del.icio.us,…) (Xing,…) (Google,…) (RSS,…) Linklists Electronic Define Strategy (Yahoo,…) Communikation for Search Search (E-Mail,…) Share Rating Systems (StumbleUpon,…) Use Select Editors (Wikis, Excel, Word,...) Ranking Classificate (Pagerank,…) Annotate Persist Online- Annotation-Tools Browser (Diigo,…) Plugins Save as Tagg (Flickr, (Scrapbook,…) (Harddisk,…) Del.icio.us,…) KOM – Multimedia Communications Lab 6
  7. 7. Why a new application? Using different applications add load to the user Our scenario is characterized by: Heterogeneous resources Text based formats like Wikis, FAQs, Blogs, PDF-Documents Videos Images ... Users are following individual tasks “Small” community Existing applications do not fit for this characteristics in many cases Goal: CROKODIL: Support the user in the management of Web Resources using for Knowledge Acquisition KOM – Multimedia Communications Lab 7
  8. 8. Outline Scenario: Resource based Learning / Knowledge Acquisition CROKODIL – a platform for collaborative Knowledge Acquisition based on Web Resources Concept & Usage of Semantic Networks Finding and Recommendation of Resources Conclusion & Outlook KOM – Multimedia Communications Lab 8
  9. 9. Semantic Networks Used for knowledge representation Formal model Concepts (Semantic) Relations Directed or undirected graph Distinction usually in types and instances “Anne is a instance of the type person” Challenge: How can be semantic information added effitiently? Image source:http://www.tojet.net/articles/236.htm KOM – Multimedia Communications Lab 9
  10. 10. Tagging Simple mean to organize websites, bookmarks, pictures,… without constraints of strict classification Folksonomic structures by aggregating tags of all users Example: Delicious Social bookmarking application (saving, annotating, managing, sharing web pages) Tag suggestions Browsing via tags Networks between users KOM – Multimedia Communications Lab 10
  11. 11. Concept – Semantic Tagging Construction of a personal net of resources by semantic tagging TU Berlin Prepare Talk Lecture related to TUD Presenter Tag Workshop Prof Wind Topic Script to read Talk Location Wiki Tornado Paper Blizzard Person Photos Hurricane Avi Blog News eyewitness report Event 1 Annotation 2 Semantic Tagging Goal/Task 3 Sharing with a community See [BSRS09] [BSR+] KOM – Multimedia Communications Lab 11
  12. 12. CROKODIL - Persist KOM – Multimedia Communications Lab 12
  13. 13. CROKODIL - Classificate / annotate KOM – Multimedia Communications Lab 13
  14. 14. KOM – Multimedia Communications Lab 14
  15. 15. Outline Scenario: Resource based Learning / Knowledge Acquisition CROKODIL – a platform for collaborative Knowledge Acquisition based on Web Resources Concept & Usage of Semantic Networks Finding and Recommendation of Resources Conclusion & Outlook KOM – Multimedia Communications Lab 15
  16. 16. Finding Resources By browsing the Semantic Network By browsing the CROKODIL Portal KOM – Multimedia Communications Lab 16
  17. 17. Recommendations Recommender systems Present information items to users that are likely of interest Based on implicit / explicit user profiles Use technologies from Information Retrieval Amazon book and CD recommendations (Source: amazon.com) Different paradigms of generating / making recommendations Collaborative Filtering munities No applic able in small com Based on similarity between users,tgood if there isiased redatas enough sult & often b Often so-called cold-start problem (not enough ratings available) Content-based recommendation sources Based on properties or contents of resourcesable fo r heterogenous re Not applic Recommendation based on folksonnomies and frequency of utilization Active recommendation by users for:username Using a combination of different methods in CROKODIL KOM – Multimedia Communications Lab 17
  18. 18. Structure based Recommendation in Semantic Networks Recommending by traversing the Semantic Network is Communication subtopic Wiki Re Networks com Protocols me nda paper tion script Recommendation independent of Type of Resources KOM – Multimedia Communications Lab 18
  19. 19. Content-Based Recommendations Computer Communication Networks Wiki Networks Reco is mme subtopic Protocols paper ndat ion ? script WP WP WP WP WP WP Similarity / relatedness between snippets is calcualted by comparision with Wikipedia articles See [SBD+10] KOM – Multimedia Communications Lab 19
  20. 20. Outline Scenario: Resource based Learning / Knowledge Acquisition CROKODIL – a platform for collaborative Knowledge Acquisition based on Web Resources Concept & Usage of Semantic Networks Recommending and Finding of Resources Conclusion & Outlook KOM – Multimedia Communications Lab 20
  21. 21. Conclusion & Outlook CROKODIL an social application for managing heterogeneous Web Resources used for Knowledge Acquisition based on a combination of semantic networks and tagging Integrated recommender systems based on different methods Outlook Deployment of the prototype in industry and university Long term evaluation of the overall approach and the different methods for recommendation Extensions Optimization of recommendation methods Recommending tags Merging personal knowledge networks KOM – Multimedia Communications Lab 21
  22. 22. References [SBB09+] Philipp Scholl, Bastian F. Benz, Doreen Böhnstedt, Christoph Rensing, Bernhard Schmitz, Ralf Steinmetz: Implementation and Evaluation of a Tool for Setting Goals in Self-Regulated Learning with Web Resources. In: Ulrike Cress, Vania Dimitrova, Marcus Specht: Learning in the Synergy of Multiple Disciplines, EC-TEL 2009, vol. LNCS Vol 5794, p. 521-534, Springer-Verlag Berlin Heidelberg, October 2009. ISBN 978-3-642-04635-3. [BSRS09] Doreen Böhnstedt, Philipp Scholl, Christoph Rensing, Ralf Steinmetz: Modeling Personal Knowledge Networks to Support Resource Based Learning. In: Klaus Tochtermann, Hermann Maurer: Proceedings of 9th International Conference on Knowledge Management and Knowledge Technologies (I-KNOW'09), p. 309-316, September 2009. ISBN 978-3-85125-060-2. [BSR+09] Doreen Böhnstedt, Philipp Scholl, Christoph Rensing, Ralf Steinmetz: Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks. In: Houben, G.-J.; McCalla, G.; Pianesi, F.; Zancanaro, M.: Proceedings of First and Seventeenth International Conference on User Modeling, Adaptation, and Personalization UMAP 2009, p. 379-384, Springer-Verlag Berlin Heidelberg 2009, ISBN 978-3-642-02246-3. [SBD+10] Philpp Scholl, Doreen Böhnestedt, Renato Dominguez-Garcia, Christoph Rensing, Ralf Steinmetz: Extended Explicit Semantic Analysis for Calculating Semantic Relatedness of Web Resources. Accepted for publication in: Proceedings of the Fifth European Conference on Technology Enhanced Learning, Barcelona, September 2010. KOM – Multimedia Communications Lab 22
  23. 23. This work was supported by funds from the German Federal Ministry of Education and Research under the mark 01 PF 08015 A and from the European Social Fund of the European Union (ESF). KOM – Multimedia Communications Lab 23
  24. 24. KOM – Multimedia Communications Lab 24

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