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Advanced use RDFS

Mariano Rodriguez-Muro,
Free University of Bozen-Bolzano
+

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
+

Reading material


Semantic Web for the working Ontologist. Chapter 6
http://proquest.safaribooksonline.com/book/-/9780123859655
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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
+
Enterprise
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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
+

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.
+ Browsing and Navigation: Search overload

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

Facets

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

Note: Taxonomy is not navigation
+

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
+

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.)
+

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%
+

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
+

Content reuse
+

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)
+
Public Entities
+

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
+

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
7 advanced uses of rdfs
+

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.
7 advanced uses of rdfs
•
•
•
•

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
7 advanced uses of rdfs
Annotation service
Process textual metadata to automatically tag
text with as many ontology terms as possible.

90 million calls,
~700 GB of data
Annotating Clinical Text
Resource index

Pubmed Abstracts
Adverse Events (AERS)
GEO
:
Clinical Trials
Drug Bank
7 advanced uses of rdfs
+

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
+
Summary
+

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

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7 advanced uses of rdfs

Editor's Notes

  1. Example, the library of congress. Largest librarian resource, large taxonomies in the form of subject headings. Subject headings are: There is taxonomy in the form of…Note broader/narrower terms/related terms etc.
  2. Another example of large taxonomy resources is biology. Biologist have been building taxonomies from… They use them for agreement, controlled vocabularies in medical applications, document tagging. Very useful applications, for example text mining and taxonomies We create and maintain a library of biomedical ontologies.We buildtools and Web services to enable the use of ontologies and their derivatives.We collaborate with scientific communities that develop and use ontologies.
  3. text mining, explain resource index workflow