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Tackling the Curse of
    Prepayment
     Collaborative Knowledge
 Formalization Beyond Lightweight

Valentin Zacharias & Simone Braun
The Curse Of Prepayment
The Curse Of Prepayment

            Semantic 
            Semantic
     Technologies promise 
      great functionality, 
      great functionality
     once a great amount 
        of knowledge is 
           formalized
FolksOntology
  lk     l




                IkeWiki
Simple               Collaborative




Incremental                                        Partial




                       Immediate
Making Every Penny Count –
            Immediately 
• Immediate benefit for formalizing 
  even small parts, becomes 
             ll   t b
  justification for next part 
   – Tables, Hierarchical Organisation, 
     Advanced Search
• D
  Datastore never fully formalized
                  f ll f     li d
• Formalizing everything impossible
Text &
                                    & Informat
                                             tion Retrieval


                               Tags &
                                    & Keyword
                                            ds


                               Semi S
                                    Structured Dat (e.g
                                                      g. Wiki)


                               Taxonomies


                                Thesa
                                    auri + Skos
                                              s




Web 2.0 Ontology Engineering
                               Structu
                                     ured Data (e.g. Free
                                                        ebase)




                               Rule La
                                     anguages


                               OWL D
                                   DL
                                                                 The Problem of the Brick Wall
                                                                 The Problem of the Brick Wall




                               FOL
Ontologies
What Weight Problem?
                What Weight Problem?
                                               • Usability/Debuggability
                                               • Robustness
                                               • Performace
                                               • Language Expressivity
                                                 Language Expressivity 
                                                 vs. Performance – and 
                                                 is this even the right
                                                 is this even the right 
                                                 question?
                                               • Mixed/ semi formality
                                                 Mixed/ semi‐



Partly based on: Krötzsch, Schaffert, Vrandecic: Reasoning in Semantic Wikis
Curse Of Prepayment Again
    Curse Of Prepayment ‐ Again 
• What is the goal, what is the ‘immediate 
                       g            p
  benefit of formalizing even small parts’?
  – Better retrieval? (e.g. clicking on a tag also returns 
    things annotated with subtags) 
    things annotated with subtags)
  – Better Navigation? (e.g. when I browse through 
    my bookmarks)
    my bookmarks)
  – Organization and Maintainability? (e.g. by defining 
    data only once and reusing it in tables)
    d t     l          d       i it i t bl )
‘Collaborative Incremental 
Augmentation of Text Retrieval’
‘Collaborative Incremental 
Augmentation of Text Retrieval’
‘Collaborative Incremental 
Augmentation of Text Retrieval’
‘Collaborative Incremental 
Augmentation of Text Retrieval’
‘Collaborative Incremental 
Augmentation of Text Retrieval’
Collaborative, Incremental Augmentation of Text Retrieval =
   –S       i E       i   f‘
     Step wise Extension of ‘normal’ text retrieval in the direction of  
                                    l’        i l i h di         i    f
     Question Answering
   – Understanding the NL Query < > System query mapping also as
     Understanding the NL‐Query <‐> System query mapping also as 
     collaboratively matured artifacts. 

                                  Potential Advantages
                                  •   Reasonable E pectations
                                                 Expectations
                                  •   Incremental and Partial
                                  •   Immediate
                                  •   Accepted Interface
                                           p


                                   Please see the paper for a bit more technical detail
                                   on how to realize this
• Collaboration: System functionality is 
  created during use by the users (not before 
  by programmers)
  by programmers)
• Incremental: Functionality to answer 
  q
  questions is added step by step; back up 
                         p y p;           p
  information retrieval engine avoids  
  disappointment
• Existing Queries: Not ‘speak to the
  Existing Queries: Not  speak to the 
  machine’, rather detection of queries done 
  anyway
• ‘Web2.0 Ontology gy
  Engineering’ tries to tackle 
  the Curse Of Prepayment 
  with a kind of KF where 
    ith ki d f KF h
  every bit of formalization 
  counts
• Supporting more 
  heavyweight formalisms 
        y g
  entails many challenges, but 
  most important is the 
  finding of new answers to 
  fi di    f               t
  the Curse of Prepayment
• ‘Collaborative Incremental
   Collaborative Incremental 
  Augmentation of Text            Thanks for your attention
  Retrieval’ could be one such 
  answer.                         Valentin Zacharias
                                  V l ti Z h i
                                  Simone Braun

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Insemtive Prepayment Slideshare

  • 1. Tackling the Curse of Prepayment Collaborative Knowledge Formalization Beyond Lightweight Valentin Zacharias & Simone Braun
  • 2. The Curse Of Prepayment The Curse Of Prepayment Semantic  Semantic Technologies promise  great functionality,  great functionality once a great amount  of knowledge is  formalized
  • 3. FolksOntology lk l IkeWiki
  • 4. Simple Collaborative Incremental Partial Immediate
  • 5. Making Every Penny Count – Immediately  • Immediate benefit for formalizing  even small parts, becomes  ll t b justification for next part  – Tables, Hierarchical Organisation,  Advanced Search • D Datastore never fully formalized f ll f li d • Formalizing everything impossible
  • 6. Text & & Informat tion Retrieval Tags & & Keyword ds Semi S Structured Dat (e.g g. Wiki) Taxonomies Thesa auri + Skos s Web 2.0 Ontology Engineering Structu ured Data (e.g. Free ebase) Rule La anguages OWL D DL The Problem of the Brick Wall The Problem of the Brick Wall FOL Ontologies
  • 7. What Weight Problem? What Weight Problem? • Usability/Debuggability • Robustness • Performace • Language Expressivity Language Expressivity  vs. Performance – and  is this even the right is this even the right  question? • Mixed/ semi formality Mixed/ semi‐ Partly based on: Krötzsch, Schaffert, Vrandecic: Reasoning in Semantic Wikis
  • 8. Curse Of Prepayment Again Curse Of Prepayment ‐ Again  • What is the goal, what is the ‘immediate  g p benefit of formalizing even small parts’? – Better retrieval? (e.g. clicking on a tag also returns  things annotated with subtags)  things annotated with subtags) – Better Navigation? (e.g. when I browse through  my bookmarks) my bookmarks) – Organization and Maintainability? (e.g. by defining  data only once and reusing it in tables) d t l d i it i t bl )
  • 9.
  • 15. Collaborative, Incremental Augmentation of Text Retrieval = –S i E i f‘ Step wise Extension of ‘normal’ text retrieval in the direction of   l’ i l i h di i f Question Answering – Understanding the NL Query < > System query mapping also as Understanding the NL‐Query <‐> System query mapping also as  collaboratively matured artifacts.  Potential Advantages • Reasonable E pectations Expectations • Incremental and Partial • Immediate • Accepted Interface p Please see the paper for a bit more technical detail on how to realize this
  • 16. • Collaboration: System functionality is  created during use by the users (not before  by programmers) by programmers) • Incremental: Functionality to answer  q questions is added step by step; back up  p y p; p information retrieval engine avoids   disappointment • Existing Queries: Not ‘speak to the Existing Queries: Not  speak to the  machine’, rather detection of queries done  anyway
  • 17. • ‘Web2.0 Ontology gy Engineering’ tries to tackle  the Curse Of Prepayment  with a kind of KF where  ith ki d f KF h every bit of formalization  counts • Supporting more  heavyweight formalisms  y g entails many challenges, but  most important is the  finding of new answers to  fi di f t the Curse of Prepayment • ‘Collaborative Incremental Collaborative Incremental  Augmentation of Text  Thanks for your attention Retrieval’ could be one such  answer.  Valentin Zacharias V l ti Z h i Simone Braun