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OntoNaviERP: Ontology-supported
    Navigation in ERP Software
         Documentation
          Martin Hepp1,2 and Andreas Wechselberger1
          1E-Business and Web Science Research Group,
              Bundeswehr University Munich, Germany
                     2STI Innsbruck, Austria


     {mhepp@computer.org | andreas.wechselberger@unibw.de}
Martin Hepp
                                                             1
mhepp@computer.org
ERP: Enterprise Resource Planning
    MRP: Material
    Requirements Planning
    MRP-II:
    Manufacturing Resource
    Planning
    CIM: Computer
    Integrated               Comprehensive -->
    Manufacturing               Complex

Martin Hepp
                                                 2
mhepp@computer.org
SAP Help Files




Martin Hepp
                                      3
mhepp@computer.org
Search is important, because ...
 • Users must align their mental
      models of processes and data
      with those underlying the ERP
                                                 Document



                                                            ?
                                      Function


      software
                                                   Role


                                       Event




 • Intensive usage                    Function




 • More efficient usage of ERP
      documentation means more
      efficient business operations.
Martin Hepp
                                                                4
mhepp@computer.org
Search is difficult, because ...




Martin Hepp
                                               5
mhepp@computer.org
Search is difficult, because ...




Martin Hepp
                                               5
mhepp@computer.org
Search is difficult, because ...



                                    Textbook Business
                                       Terminology


                         SAP Business                SAP IT/System
                          Terminology                 Terminology


                                        Industry Domain
                                          Terminology




Martin Hepp
                                                                     5
mhepp@computer.org
In other words: An ideal
             showcase for semantic
                  technology...




Martin Hepp
                                       6
mhepp@computer.org
Requirements
  • Cost-efficient Ontology Construction
  • Cost-efficient Annotation
  • Speed
  • User Interface


Martin Hepp
                                          7
mhepp@computer.org
Competency Question




Martin Hepp
                                           8
mhepp@computer.org
Overview: OntoNaviERP




Martin Hepp
                                             9
mhepp@computer.org
Which Terms Are Most Valuable - The Most
        Popular, the Frequent, or the Rare?
     Frequency vs. Information Value vs. Likelihood of Relevance
       Web-wide Number of Occurrences




                                           + Likelihood of relevant documents
                                           + Likelihood of usage in queries
                                           - limited information value

                                                              balance between frequency and specificity
                                                              + higher information value



                                                                          + highest information value if needed
                                                                          - likelihood of occurrence in query low
                                                                          - likelihood of relevant documents low


                                        Term 1..N (similar pattern for: Tags, Ontology Elements)

Martin Hepp
                                                                                                                    10
mhepp@computer.org
Approach: Conceptual Model




Martin Hepp
                                         11
mhepp@computer.org
Approach: Conceptual Model




Semi-automatically                   Traditional
  derived from                        ontology
    term lists                       engineering
  Martin Hepp
                                              11
  mhepp@computer.org
Approach: Ontology Construction (1)
  • Script
  • Protégé
  • WordNet Plug-In
  • OWL Annotation Property
  • .NT Generator

Martin Hepp
                                         12
mhepp@computer.org
Approach: Ontology Construction (2)




Martin Hepp
                                         13
mhepp@computer.org
Approach: Ontology Construction (3)


                              5 * 127 = 635


                               126 * 257
                               = 32,382



Martin Hepp
                                         14
mhepp@computer.org
Approach: Annotation (1)




Martin Hepp
                                           15
mhepp@computer.org
Approach: Annotation (2)




Martin Hepp
                                           16
mhepp@computer.org
Approach: User Interface and System




Martin Hepp
                                          17
mhepp@computer.org
Evaluation Methodology




Martin Hepp
                                          18
mhepp@computer.org
Results (1)




Median of retrieved documents
• Term-based: 0
  >=50% of the action-topic pairs yield no result
• OntoNaviERP: 5.5
  50% of of the action-topic pairs return at least 5 result pages,
  of which 2 are relevant
 Martin Hepp
                                                                     19
 mhepp@computer.org
Results (2)




Martin Hepp
                                   20
mhepp@computer.org
Findings and Lessons Learned
  • Understanding of ontology engineering and
      annotation under economic constraints
  • In our setting, consolidation of synonyms and
      lexical variants does a great deal of the job




Martin Hepp
                                                      21
mhepp@computer.org
Future Extensions
 •   Task and Context
 •   Annotate individual sections of resources
 •   Skills / Users’ Competencies vs. Target Audience of a
     Resource
 •   Hybrid Search: Combining term-based and conceptual search
     E.g. see Bhagdev/Chapman/Ciravegna, Vitaveska Lanfranchi,
     Daniela Petrelli: Hybrid Search: Effectively Combining Keywords
     and Semantic Searches, ESWC 2008



Martin Hepp
                                                                       22
mhepp@computer.org
Reference and Links
    Hepp, Martin and Wechselberger, Andreas: OntoNaviERP: Ontology-
    supported Navigation in ERP Software Documentation, in: A. Sheth et al.
    (eds.): ISWC 2008. Proceedings of the 7th International Semantic
    Web Conference, Germany, October 26-30, 2008, Karlsruhe,
    Germany, Springer LNCS, Vol. 5318, pp. 764-776.
    This paper and other papers are available at
    http://www.heppnetz.de/publications/
    The .NT Generator for KIM/GATE Gazetteer
    Lists is at:
    http://ebusiness-unibw.org:8180/ntfilegenerator/


Martin Hepp
                                                                         23
mhepp@computer.org
Thank you!
              Martin Hepp and Andreas Wechselberger
     {mhepp@computer.org | andreas.wechselberger@unibw.de}

                     http://www.unibw.de/ebusiness/



Martin Hepp
                                                             24
mhepp@computer.org

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OntoNaviERP: Ontology-supported Navigation in ERP Software Documentation

  • 1. OntoNaviERP: Ontology-supported Navigation in ERP Software Documentation Martin Hepp1,2 and Andreas Wechselberger1 1E-Business and Web Science Research Group, Bundeswehr University Munich, Germany 2STI Innsbruck, Austria {mhepp@computer.org | andreas.wechselberger@unibw.de} Martin Hepp 1 mhepp@computer.org
  • 2. ERP: Enterprise Resource Planning MRP: Material Requirements Planning MRP-II: Manufacturing Resource Planning CIM: Computer Integrated Comprehensive --> Manufacturing Complex Martin Hepp 2 mhepp@computer.org
  • 3. SAP Help Files Martin Hepp 3 mhepp@computer.org
  • 4. Search is important, because ... • Users must align their mental models of processes and data with those underlying the ERP Document ? Function software Role Event • Intensive usage Function • More efficient usage of ERP documentation means more efficient business operations. Martin Hepp 4 mhepp@computer.org
  • 5. Search is difficult, because ... Martin Hepp 5 mhepp@computer.org
  • 6. Search is difficult, because ... Martin Hepp 5 mhepp@computer.org
  • 7. Search is difficult, because ... Textbook Business Terminology SAP Business SAP IT/System Terminology Terminology Industry Domain Terminology Martin Hepp 5 mhepp@computer.org
  • 8. In other words: An ideal showcase for semantic technology... Martin Hepp 6 mhepp@computer.org
  • 9. Requirements • Cost-efficient Ontology Construction • Cost-efficient Annotation • Speed • User Interface Martin Hepp 7 mhepp@computer.org
  • 10. Competency Question Martin Hepp 8 mhepp@computer.org
  • 11. Overview: OntoNaviERP Martin Hepp 9 mhepp@computer.org
  • 12. Which Terms Are Most Valuable - The Most Popular, the Frequent, or the Rare? Frequency vs. Information Value vs. Likelihood of Relevance Web-wide Number of Occurrences + Likelihood of relevant documents + Likelihood of usage in queries - limited information value balance between frequency and specificity + higher information value + highest information value if needed - likelihood of occurrence in query low - likelihood of relevant documents low Term 1..N (similar pattern for: Tags, Ontology Elements) Martin Hepp 10 mhepp@computer.org
  • 13. Approach: Conceptual Model Martin Hepp 11 mhepp@computer.org
  • 14. Approach: Conceptual Model Semi-automatically Traditional derived from ontology term lists engineering Martin Hepp 11 mhepp@computer.org
  • 15. Approach: Ontology Construction (1) • Script • Protégé • WordNet Plug-In • OWL Annotation Property • .NT Generator Martin Hepp 12 mhepp@computer.org
  • 16. Approach: Ontology Construction (2) Martin Hepp 13 mhepp@computer.org
  • 17. Approach: Ontology Construction (3) 5 * 127 = 635 126 * 257 = 32,382 Martin Hepp 14 mhepp@computer.org
  • 18. Approach: Annotation (1) Martin Hepp 15 mhepp@computer.org
  • 19. Approach: Annotation (2) Martin Hepp 16 mhepp@computer.org
  • 20. Approach: User Interface and System Martin Hepp 17 mhepp@computer.org
  • 21. Evaluation Methodology Martin Hepp 18 mhepp@computer.org
  • 22. Results (1) Median of retrieved documents • Term-based: 0 >=50% of the action-topic pairs yield no result • OntoNaviERP: 5.5 50% of of the action-topic pairs return at least 5 result pages, of which 2 are relevant Martin Hepp 19 mhepp@computer.org
  • 23. Results (2) Martin Hepp 20 mhepp@computer.org
  • 24. Findings and Lessons Learned • Understanding of ontology engineering and annotation under economic constraints • In our setting, consolidation of synonyms and lexical variants does a great deal of the job Martin Hepp 21 mhepp@computer.org
  • 25. Future Extensions • Task and Context • Annotate individual sections of resources • Skills / Users’ Competencies vs. Target Audience of a Resource • Hybrid Search: Combining term-based and conceptual search E.g. see Bhagdev/Chapman/Ciravegna, Vitaveska Lanfranchi, Daniela Petrelli: Hybrid Search: Effectively Combining Keywords and Semantic Searches, ESWC 2008 Martin Hepp 22 mhepp@computer.org
  • 26. Reference and Links Hepp, Martin and Wechselberger, Andreas: OntoNaviERP: Ontology- supported Navigation in ERP Software Documentation, in: A. Sheth et al. (eds.): ISWC 2008. Proceedings of the 7th International Semantic Web Conference, Germany, October 26-30, 2008, Karlsruhe, Germany, Springer LNCS, Vol. 5318, pp. 764-776. This paper and other papers are available at http://www.heppnetz.de/publications/ The .NT Generator for KIM/GATE Gazetteer Lists is at: http://ebusiness-unibw.org:8180/ntfilegenerator/ Martin Hepp 23 mhepp@computer.org
  • 27. Thank you! Martin Hepp and Andreas Wechselberger {mhepp@computer.org | andreas.wechselberger@unibw.de} http://www.unibw.de/ebusiness/ Martin Hepp 24 mhepp@computer.org