1. +
Advanced use RDFS
Mariano Rodriguez-Muro,
Free University of Bozen-Bolzano

2. +
Disclaimer

License


A few examples from these slides has been taken from


This work is licensed under a
Creative Commons Attribution-Share Alike 3.0 License
(http://creativecommons.org/licenses/by-sa/3.0/)
Semantic Web for the working Ontologist. Chapter 6.
Some of the slides on the use of taxonomies are based on:

http://info.earley.com/webinar-replay-business-value-taxonomy-aug2012

3. +
Reading material

Semantic Web for the working Ontologist. Chapter 6
http://proquest.safaribooksonline.com/book/-/9780123859655

4. +
Uses of RDFS (and ontology)

Application oriented uses




Application behavior without coding
Data integration through vocabulary alignment, integration
Controlled vocabularies
Formal ontology:

Definition of taxonomies, e.g., parent/broader, child/narrower, etc.
Taxonomy/Ontology can be used to create business/data value
Taxonomy can open the door for new kinds of data management

5. +
Enterprise

6. +
Content Management

Increase the control/productivity that the enterprise has over
their data to increase internal productivity, customer
satisfaction, etc.

Why not “just Google” your sites? These do not work in the
enterprise



Back links and
Statistics
In the enterprise, granularity is small

7. +
Search enhancement

Search enhancement



Examples:




Finding content (DB., entries, document collections, etc) relevant to
a query, but tagged with an alternative name
Key is search by metadata and organized metadata
Add synonyms to a query
Language/translation
Include more general terms
Precision vs Recall. The focus here is recall, get all “relevant”
content.

8. + Browsing and Navigation: Search overload
User doesn’t know what he
wants precisely

9. + Browsing and Navigation: Search overload
Facets
Give control to the user

10. + Browsing and Navigation: Search overload
Note: Taxonomy is not navigation

11. +
Browsing and navigation, results

Faceted navigation in e-commerce:

Findability

Conversions

Sales

Market size

Customer satisfaction

etc.

Studies show that faceted navigation in enterprise content
easily increases all these aspects in hard benchmarks.

See presentation by Earley & Associates

12. +
Content Reuse – Taxonomy in
Content Management

Many use cases


Examples, knowledge management, content finding, etc.


Look at business processes, group at targeted users
Useful when knowledge is large, and it needs to be accessible fast
A Taxonomy can be used to

Define content and document types (e.g., “Article”)

Define the fields that will describe attributes (e.g., tag a document
with “Industry”)

Define the actual values of certain fields (e.g., the list of values for
the attribute “Industry” might include “Construction”, “Information
Technology”, “Utilities”, etc.)

13. +
Example: Knowledge management

Portal development

Service a functional organization, e.g., call centers, technical field
services

Key: Changing content

Requires: Access to the latest's and best value always
Call centers representatives required 50% less time to solve a problem
with correctly organized information.
Earley & Associates, 2012
Average reactive time per incident: 10.35hrs
Knowledge Helpful Average Reactive TPI: 5.45hrs
Knowledge Helpful Time Saved Per Incident: 43%

14. +
Content reuse: Improved
Management of Marketing Assets

Type: Magazine Ads

Channel: Print

Target Demographic: Parents

Country: US

Language: English

Concept: Rebellion

Brand: Settletra

Do your kids:
 Have discipline problems?
 Trouble paying attention?
 Trouble getting along?
Maybe It’s time to findout how
Settletra can help

15. +
Content reuse

16. +
Content reuse: result

Requirement


Question


Do we have material for this
campaign
No?


Images for campaigns
Produce new material
Use taxonomies to improve
search

$1.25M /yr through digital asset
management and increased
image reuse (Earley &
Associates)

17. +
Public Entities

18. +
The power of large, curated
taxonomies

Many large taxonomies developed in the context of large
national and international projects

Large amount of knowledge

Clean knowledge (manually curated)

General knowledge (cover domains rather than applications)

Reusable to provide valuable services

19. +
Taxonomies resources

Taxonomy resources:

http://www.taxonomywarehouse.com/

http://www.taxobank.org/

http://www.taxotips.com/resources/sources/

http://id.loc.gov/

http://id.loc.gov/authorities/subjects/sh85112348.html

http://bioportal.bioontology.org/

http://www.w3.org/2001/sw/wiki/SKOS/Datasets
Some of these are actually
ONTOLOGY repositories

21. +
Taxonomies in Biology

Taxonomies in Biology have been developed for a long time



Large investment world wide
Deployed in applications today
Include wide range of Biology subjects


Medical terminologies


Macro and Micro biology (Genes, Human Anatomy)
Etc.
Started as knowledge management/sharing, now applications
are being built.

23. •
•
•
•
Download
Traverse
Search
Comment
Mapping
Services
•
•
•
Create
Download
Upload
Widgets
•
•
•
Tree-view
Auto-complete
Graph-view
Ontology
Services
http://rest.bioontology.org
Views
Annotation
Term recognition
Data Access
Fetch “data”
annotated with a
given term
http://bioportal.bioontology.org

25. Annotation service
Process textual metadata to automatically tag
text with as many ontology terms as possible.
90 million calls,
~700 GB of data

26. Annotating Clinical Text

27. Resource index
Pubmed Abstracts
Adverse Events (AERS)
GEO
:
Clinical Trials
Drug Bank

29. +
Semantic Annotation services

Semantic Annotations services are very wide spread

Topics include:

General purpose (based on DBPedia URI’s for example)

Specialized

Music

Movies

Libraries

Biology

http://lmgtfy.com/?q=semantic+annotator

http://dbpedia-spotlight.github.com/demo/index.html

30. +
Summary

31. +
Summary: RDFS

Ontology languages,
Ontologies

RDFS language and inferences

Common use patterns of RDFS
inferences

Taxonomies

Their value and use in the
enterprise

Collections and applications