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Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf

Opportunities for AI in Intelligent Web-based Technology-Supported Learning

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Talk I gave at WISM’09-AICI'09 (2009 International Conference on Web Information Systems and Mining and the 2009 International Conference on Artificial Intelligence and Computational Intelligence) where I describe research opportunities offered by today's Web 2.0 and Semantic Web.

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Page 1: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

Opportunities for AI in Intelligent Web-based

Technology-Supported Learning

Carsten UllrichJian Wang

Ruimin ShenFrank Quosdorf

Page 2: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Today’s Web: enormous potential for AI in technology supported learning.

Page 3: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Today’s Web: enormous potential for AI in technology supported learning.

But potential is still under-exploited

Page 4: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Today’s Web: enormous potential for AI in technology supported learning.

But potential is still under-exploited

This talk: Trends

Page 5: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Today’s Web: enormous potential for AI in technology supported learning.

But potential is still under-exploited

This talk: Trends

Example

Page 6: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Trends: Architecture of Assembly

Page 7: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

APIs

Page 8: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Page 9: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Page 10: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Your own system

Page 11: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

RSS

Page 12: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

New Articles

Page 13: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

New Data

Page 14: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Mash-ups

Yahoo! Pipes

http://www.flickr.com/photos/seeminglee/1950911618/

Page 15: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Widgets

Page 16: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Personal Learning Environments

http://role-project.eu

Page 17: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Page 18: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Architecture of Assembly makes it easier to build

complex services

Page 19: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Architecture of Assemblyadds to Web of documents a

layer of reusable services

Page 20: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Opportunities:-access to huge amounts of data

useful for learning process;-analyze user generated content, e.g.,

to make estimations about their knowledge/competencies;

-finding/combining services and combining to train specific skills.

Page 21: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Trend: User-Centered Web

Page 22: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Trend: User-Centered Web

focuses on the individual using these documents and services

Page 23: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Network of documents

Network of people

Page 24: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Live Streams

FacebookFriendfeed

Page 25: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Today: Silos

Page 26: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

OpenID: decentralized single-sign-on mechanism

OAUTH: informationexchange between services

OpenSocial: APIs for common functionality for social

applications

Page 27: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Information about user:

Attention ProfilingMarkup Language (APML)

Location data: Google Gears, Firefox

Page 28: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Amazing amounts of data about user available

Opportunity: use this data for personalization

Page 29: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Trend: Semantics

Page 30: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Access to data no longer problem

Page 31: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Access to data no longer problem

Problematic:

Find specific relevant piece of information

Page 32: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Access to data no longer problem

Problematic:

Find specific relevant piece of information

Combine data

Page 33: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Semantic Web

Page 34: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Linked Open Data Initiative

Datasets include Wikipedia, DBLP, RKB Explorer, CIA World

Fact Book, OpenCyc, …

Page 35: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Page 36: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

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WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Page 38: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

How to Get Semantics?

Page 39: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Entity Extraction

The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare.

Page 40: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Entity Extraction

Gur grez "Jro 2.0" vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat. Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener.

This is what it looks like to the machine!

Page 41: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Entity Extraction

Gur grez "Jro 2.0" vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat. Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener.

OpenCalais

Jro 2.0grpuabybtl-raunaprq yrneavat

Page 42: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Entity Extraction

The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare.

OpenCalais

Web 2.0technology-supported learning

Page 43: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Opportunities:- Semantic Content and Semantics

for free enable amazing possibilities:

improved quality of service, better categorization, recommendation,

automatic linking with other resources, etc.

Page 44: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Example: Totuba Toolkit

Page 45: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

- research workbench- bibliography manager

- research network- support while writing research

papers

Page 46: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

context-sensitive further reading

related topics

drag&drop referencing

Page 47: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Semantifying

The term "Web 2.0“...

OpenCalais

Web 2.0technology-supported learning

DBPedia (others: Yago, Freebase, UMBEL)

http://dbpedia.org/resource/Web_2.0http://dbpedia.org/resource/Technology-Enhanced_Learning

Page 48: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Related Topics: Web_2.0 in DBPedia

skos:subject • dbpedia:Category:Buzzwords

• dbpedia:Category:Branding

• dbpedia:Category:Cloud_applications

• dbpedia:Category:Internet_memes

• dbpedia:Category:Social_Information_Processing

• dbpedia:Category:World_Wide_Web

• dbpedia:Category:Web_2.0

• dbpedia:Category:Web_services

Page 49: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Problems

Page 50: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Most services: English only

Services can become unavailable

Page 51: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Lesson: To advance science, make research results

available to other parties, as a Web service or open source.

Page 52: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Conclusion

Page 53: Opportunities for AI in Intelligent Web-based Technology-Supported Learning

WISM’09-AICI'09, Carsten Ullrich, Opportunities for AI in TEL

Ground breaking services and data have now become basic

commodity

By building upon them, research in Technology-

Enhanced Learning can tackle more meaningful problems