+ Advanced use RDFS Mariano Rodriguez-Muro, Free University of Bozen-Bolzano
+
Advanced use RDFS
Mariano Rodriguez-Muro, Free University of Bozen-Bolzano
+Disclaimer
License This work is licensed under a
Creative Commons Attribution-Share Alike 3.0 License (http://creativecommons.org/licenses/by-sa/3.0/)
A few examples from these slides has been taken from 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-aug-2012
+Reading material
Semantic Web for the working Ontologist. Chapter 6http://proquest.safaribooksonline.com/book/-/9780123859655
+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
+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 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
Examples: 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 Look at business processes, group at targeted users Examples, knowledge management, content finding, etc. 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: 10.35hrsKnowledge Helpful Average Reactive TPI: 5.45hrsKnowledge 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 Images for campaigns
Question Do we have material for
this campaign
No? 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
+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 Macro and Micro biology (Genes, Human Anatomy) Medical terminologies Etc.
Started as knowledge management/sharing, now applications are being built.
http:
//re
st.b
ioon
tolo
gy.o
rg
Ontology Services
• Download• Traverse• Search• Comment
Widgets• Tree-view• Auto-complete• Graph-view
Annotation
Data Access
Mapping Services
• Create• Download• Upload
Views
Term recognition
Fetch “data” annotated with a given term
http://bioportal.bioontology.org
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
+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