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Kein Folientitel

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IAS Search Facility & Skills Management. Deliverable 22 ... People-Finder. Gap Analysis. HR Development. Intellectual Capital. 16. 3rd OnToKnowledge Review ... – PowerPoint PPT presentation

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Title: Kein Folientitel


1

Organisational Memory Applications IAS Search
Facility Skills Management Deliverable 22
Ulrich Reimer, Thorsten Lau, Peter
Brockhausen Swiss Life, Zürich
2
  • 1 Generic Swiss Life OM Architecture
  • 2 IAS Search Facility
  • 3 Skills Management
  • 4 Summary and Outlook

3
(No Transcript)
4
  • 1 Generic Swiss Life OM Architecture
  • 2 IAS Search Facility
  • 3 Skills Management
  • 4 Summary and Outlook

5
IAS Ontology-Based Search Original Situation
No results
accrued benefits
IAS Document
6
Original Situation (continued)
Too many results
accrued benefits
IAS Document
7
Idea for Solution
accrued benefits
accrued interests
accrue
interests
IAS Document
? Good results!
8
Exploit HTML structure of the IAS document with
TableAnalyzer
9
TableAnalyzer ontology part
  • add relationships between concepts, e.g.
  • Entry Account has-a Sum Account
  • Entry Account has-a Account Name
  • create instances, e.g.
  • the concept Entry Account has the
    instances1,050,001, 1,050,002, etc.

10
Resulting ontology
  • number of concepts by OntoExtract 1500
  • number of concepts extended by TableAnalyzer
    9
  • (added relationships)

11
GUI Integration of TableAnalyzer concepts
  • add dropdown list with TableAnalyzer concepts,
    e.g.
  • user selects Entry Account
  • types in the field account name Fixed
    Maturities
  • Effect
  • select Entry Account where account name like
    fixed maturities
  • Go from Reference Retrieval to Fact
    Retrieval

12
IAS - Use of OTK Tools
OntoShare
User
RQL
RDF Ferret
Spectacle
Knowledge Engineer
OntoEdit
OIL-Core
OMM
Bor
Sesame
OIL-Core ontology repository
Annotated Data Repository
RDF
RDF
pers05
731
par05
car
tel
about
OntoExtract
OntoWrapper
Data Repository (external)
13
Main evaluation result
  • users reformulate a query on the average more
    than once
  • users wish to find account numbers according to
    given criteria

14
  • 1 Generic Swiss Life OM Architecture
  • 2 IAS Search Facility
  • 3 Skills Management
  • 4 Summary and Outlook

15
Goals of Skills Management
16
Skills Ontology for three main areas
? Information Technology (IT) ? Private
Insurance ? Human Resources concepts 700 re
lations is-a instances skills
descriptions of the employees
17
SkiM Skills Management at Swiss Life
  • Prototype in use ca.150 registered user
  • User feedback influenced further development
    - available information categories - need for
    improved query functionality and effectiveness
    - smaller ontology for education, hierarchy for
    job functions deleted
  • RDF annotation added to distinguish information
    categories
  • Integration of RDFFerret

18
(No Transcript)
19
DF xmlnsrdf"http//www.w3.org/1999/02/22-rdf-sy
ntax-ns" xmlnsrdfs"http//www.w3.org/2000/01/r
df-schema" xmlnsns1"http//ns7902/" xmlnsotk
"http//ontoserver.cognit.no/otk_rdf" rdfabout"http//ns7902/ifbp.htmlskills" sAbout rdfresource"http//ns7902/ifbp.htmlskill
sUML"/ ifbp.htmlskillsDataWarehouse"/ n ... rdfabout"http//ns7902/ifbp.htmlskillsUML" s1hasSkill xmllang"de" UML 1hasSkillsLevel xmllang"de" level2
rdfabout"http//ns7902/ifbp.htmlskillsDataWare
house" Data
Warehouse xmllang"de" level4 Skill ...
20
Use RDF annotations for more precise queries,
e.g. distinguish UML in the context of
skills from UML in the context of
projects-involved
Corresponding RQL queries as generated from user
input
Select P From Employee(P) . has-skillsS Where
SUML Select P From EmployeeP .
projects-involvedI And IUML
21
SkiM - Use of OTK Tools
OntoShare
User
RQL
RDF Ferret
Spectacle
Knowledge Engineer
OntoEdit
OIL-Core
OMM
Bor
Sesame
OIL-Core ontology repository
Annotated Data Repository
RDF
RDF
pers05
731
par05
car
tel
about
OntoExtract
OntoWrapper
Data Repository (external)
22
Main evaluation result
  • high acceptance of underlying design concept
  • better focusing query engine
  • users find it difficult to browse the
    ontologies - problem of user interface? -
    problem of ontology structure?

23
Summary
  • Two different case studies
  • manually vs. automatically built ontology
  • concept hierarchy vs. associative net
  • Utilize RDF annotations to
  • allow fact retrieval- specify context in which
    a query term is to be evaluated

24
Discontinuation of Swiss Lifes participation
Delivered Deliverable 22 without the
implemented system -- contains a
specification of what to be done
Will not be delivered Deliverable 23
(Evaluation Report)
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