APE 2012: Semantic Publishing - Just a Buzzword?

Semantic Publishing –Just a Buzzword?

Prof. Dr. Felix SasakiW3C German-Austrian Office / DFKIfelix.sasaki@dfki.dewww.w3c.de

The current state of the Semantic Web anda hands-on example of multidimensional microcontent

Michael Dreusicke (CEO)PAUX Technologies GmbHmd@paux.dewww.paux.de

1. Why the Semantic Web?

Bridge the gap between what humans see and what a browser “sees”

Give Uniqueness to concepts – example “bank”

http://dbpedia.org/page/Bank ✔

✔ ✔

✔✔

Provide access to lot’s of interlinked data – in a standardized manner

Allow for new ways to access the Web

• People who were born in Berlin before 1900

• Part of one answer from dbpedia (= Semantic Web version of Wikipedia):

“Alexander Gottlieb Baumgarten”born “1714-07-17”died “1762-05-26”

2. Semantic Web in a Nutshell

Identify things (“resources”) using URIs (Unique Resource Identifiers)

“Eric Miller” =

http://www.w3.org/People/EM/contact#me

Make statements about resources

• For humans: “Eric Miller has the email address em@w3.org”

• For machines: triples consisting of Subject, Predicate, Object• http://www.w3.org/People/EM/contact#me

• http://www.w3.org/2000/10/swap/pim/contact#mailbox

• mailto:em@w3.org

Consisting of source (subject), target (object),type of link (predicate)

Statements are like linksin the human Web

http://www.w3.org/People/EM/contact#me

http://www.w3.org/2000/10/swap/pim/contact#mailbox

mailto:em@w3.org

Main technologiesin the Semantic Web

• RDF: Describe Resources• “Eric Miller has the email address …”

• RDF Schema: Describe kinds of resources• “Eric Miller is a person”

• OWL: Richer descriptions (“ontologies”)

• SPARLQ: Query RDF• “Find me all persons who have an email address”

• “Find people who were born in Berlin before 1900”

3. Trends in Semantic Web

TREND: Linked Open Data

• Provide masses of data following the “5 stars of open linked data”

• More and more communities• Health Care & Life Sciences

• dbpedia in many languages

• Libraries

• eGovernment

• News provider

• …

TREND: Integrating Semantic Web into Web pages: RDFa

All content on this site is licensed under<a rel="license" href="http://creativecommons.org/licenses/by/3.0/"> a Creative Commons License</a>.

TREND: Build bridges to other approaches for metadata on the Web

• Example: schema.org

• Metadata vocabulary

• Used by Bing, Google, Yahoo! for presenting Web search results

• Can solve the ambiguity problem (“what is a bank?”)

A bank at schema.org

schema.org

Onevocabulary

Written as RDFa

Written as Microdata

schema.org

Onevocabulary

Written as RDFa

Bridge towardsSemantic Web

schema.org

Onevocabulary

Written as RDFa

Used atschema.org

schema.org

Onevocabulary

Written as RDFa

Used atschema.org

Mostimportant!

TREND: build bridges among (Semantic Web) vocabularies for the Web

Overview

• Advanced hypertext functionality• Modular text

• Multiple links

• Rated links

• Examples

• Use cases• Search

• Context-sensitive help

• Personalized content

• e-Learning

• Annotation + sharing + back channel

• Search engine optimization

• New business model22

• Modular text

• Multiple links

• Rated links

1"#"n"

Advanced Hypertext Functionality

1"#"n"

reusable

Modular text

control only over container

Control over

content

1"#"n"

Multiple Links

Textbooks

Videos

Pictures

Aggregation

Articles

references

AggregationDocuments

CommentaryAggregation

Aggregation

Rated links

Reference

Rating

Reference

Rating

Page #

Previous Knowledge

Difficulty

RelevancyQuality

User Group

Rating

Article

Paragraph

Sentence

Examples for modular text

Text model

Everything has an ID/URI

IDIDIDID

Why an URI for everything?

• Metadata

• Multiple and rated links

• €

Example: Textbook „Statistic“

Categories + icons for sentences

Use case 1: Search

Proposals

Number of hits

Search results: Single information

Search results: Sorted by category

Use case 2: context-sensitive help

Example: Help for a word ...

... opens popup

Popup shows linked content

For example a definition

... and some more topics (clickable)

Help for words in help texts

Help for help

Model: Text as linked data

Help for a word

Example: Sentence

Example: Paragraph

@sentence

persons@sentence

hyperlinks@sentence

pictures@sentence

...@paragraph

Person has an IDand therefore context

Editor

Example: Role for word

Contact

Example: Role for sentence

Translator

Example: Role for paragraph

TranslatorID

Role has an ID

Translator

Example: Persons within a role

Use case 3: Personalized content

Different surface

Different background

Use case 4: e-Learning

Example: Multiple choice test

Use case 5: Comment, share, discuss

Example: Liquid books

Further Books

Embedded content

Cross selling: Purchase further books

Cross selling: Popups as teasers

Advertising in the content ...

... or in the popups

Monitoring for each content object

Sharing

For example: Annotation of sentence

Rating and comment

Example: Facebook

Content object and annotation to Facebook

Comments and likes for comment at Facebook

Back channel

Aggregation at the book

In short

• RDF-Triple

• e-Learning

• SEO• Microsites

• RDFa

Use case 6: Search engine optimization

Microsites of every content object(text and relations)

http://www.

Paragraphs

http://www.

Sentences

http://www.

Words (+relations +annotations)

http://www.

http://www.http://www.http://www.http://www.http://www.http://www.http://www.http://www.http://www.

http://www.

Price P Online

Price SP Mobil

Price SP Print

Price SP Online

Price SA Mobil

Price SA Online

Price SA Print

Price P Online

Price A Online

Price A Mobil

Use case 7: New business model

Reference

intPrice P Print

Price A Print

Reference

Article

Paragraph

Sentence98

Summary

• Semantic Web• Why we need it

• The technical bits

• What comes next

• Semantic Microcontent

• Concrete Advantages

Thank you for your attention.Questions?

Prof. Dr. Felix SasakiW3C German-Austrian Office / DFKIfelix.sasaki@dfki.dewww.w3c.de

Michael Dreusicke (CEO)PAUX Technologies GmbHmd@paux.dewww.paux.de

APE 2012: Semantic Publishing - Just a Buzzword?

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