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AN  ADVANCED  SEARCH  ENGINE  FOR  PATENT  ANALYTICS  IN  MEDICINAL  CHEMISTRY  

Emilie  Pasche1,  Julien  Gobeill2,  Douglas  Teodoro1,    Arnaud  Gaudinat2,  Dina  Vishnyakova1,    

ChrisKan  Lovis1,  Patrick  Ruch2    

1SIMED,  University  and  University  Hospitals  of  Geneva  2BiTeM,  University  of  Applied  Sciences,  Geneva  

2 © University Hospitals of Geneva Division of Medical Information Sciences

Plan  

1.   Introduc+on  

2.  Methods  

3.  Results  

4.  Demo  

5.  Conclusion  

3 © University Hospitals of Geneva Division of Medical Information Sciences

IntroducKon  

Our  objec+ve  Development  of  TWINC,  a  web  interface  to  search  medical-­‐related  patents.    What  is  the  interest  of  patent  collec+ons?  •  Unique  and  validated  informaKon  •  Source  of  knowledge  for  biomedicine  

•  460’000  patents  related  to  biomedicine  from  2005  to  2009  

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IntroducKon  

What  is  the  problem?  Currents  tools  are  limited  •  Lack  of  useful  funcKonaliKes  •  Naming  ambiguity  

What  are  the  solu+ons?  InformaKon  retrieval  campaigns  to  foster  the  research  •  Text  Retrieval  Conferences  (TREC)  •  PatOlympics    

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Plan  

1.  IntroducKon  

2.   Methods  

3.  Results  

4.  Demo  

5.  Conclusion  

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Methods:  Overview  

TWINC  features:  

Search  modes:  •  Ad  hoc  search  •  Related  patent  search  

AddiKonal  funcKonaliKes:  •  Chemical  query  expansion  •  AutomaKc  IPC  classificaKon  •  Rocchio-­‐based  query  refinement    

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Methods:  Search  modes  

General  methodology  

Ad  hoc  search  •  Retrieve  a  set  of  relevant  documents  

•  Short  query    

Related  patent  search  •  Retrieve  a  set  of  similar  documents    

•  Long  query    

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Methods:  AddiKonal  funcKonaliKes  

Chemical  Query  Expansion  •  Different  communiKes  have  different  ways  of  naming  enKKes  

•  Physicians  will  prefer  brand  names  •  Chemists  will  prefer  chemical  names  •  Biologists  will  prefer  substance  names  

Methodology    

    Query   Chemical  

idenKficaKon  Chemical  

normalizaKon  Synonyms  expansion  

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Methods:  EvaluaKon  

Quan+ta+ve  evalua+on  •  Ad  hoc  search  

•  6  short  topics  provided  by  TREC  •  Related  patent  search  

•  1000  long  topics  provided  by  TREC    

Qualita+ve  evalua+on  •  User  interface  

•  3  experts  perform  each  a  different  query  

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Plan  

1.  IntroducKon  

2.  Methods  

3.   Results  

4.  Demo  

5.  Conclusion  

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Results:  Search  modes  

Ad  hoc  search  

•  TREC-­‐Chem  2011  •  Ranked  4/4  

•  PatOlympics  2010  •  Ranked  1/2  

•  PatOlympics  2011  •  Ranked  2/2  

Related  patent  search  

•  TREC-­‐Chem  2011  •  Ranked  1/2  

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Results:  User  interface  

User-­‐friendliness:  

•  PatOlympics  2010  •  Ranked  1/5  

•  PatOlympics  2011  •  Ranked  1/5  

 hfp://casimir.hesge.ch/TWINC  

13 © University Hospitals of Geneva Division of Medical Information Sciences

Plan  

1.  IntroducKon  

2.  Methods  

3.  Results  

4.   Demo  

5.  Conclusion  

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Demo  

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Plan  

1.  IntroducKon  

2.  Methods  

3.  Results  

4.  Demo  

5.   Conclusion  

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Conclusion  

Ad  hoc  search  &  Related  patent  search  •  CompeKKve  results  for  related  patent  search  •  Less  encouraging  results  for  ad  hoc  search  

Chemical  Query  Expansion  •  FuncKonality  very  important  to  cope  with  different  ways  to  name  medicinal  substances  

TWINC  •  Usability  appreciated  by  intellectual  property  specialists  

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Thank you for your attention

emilie.pasche@unige.ch