Metda Ontea

1
Metóda Ontea

• Pracovná dielna NAZOU
• 21-23. 9. 2007. Polana

2
Príspevok k stavu poznania

• Pattern based annotation
• Podobné metódy
• C-PANKOW, SemTag
• Iné jazyky ako anglictina
• Slovencina
• Rýchlejie a presnejie ako C-PANKOW
• Umonuje aj tvorbu intancií, SemTag nie

3
Príspevok k stavu poznania nástroj Ontea

• Pattern
• PatternRegExp annotate(), vráti mnoinu resultov
• Result napr. (Bratislava, regionSettlement)
• ResultRegExp
• ResultOnto
• ResultTransformer
• LuceneRelevance
• SesameIndividualSearch
• SesameIndividualSearchAndCreate
• TvaroslovnikLemmatizer

NAZOU, 21-23. 9. 2007, Polana
4
Overovanie úpenost (1)

• Nový experiment pre
• Ontea creation
• Ontea Creation indexovanie Experiment s RFTS a
  Lucene indexing
• Lematizácia

5
Overovanie rýchlost (2)

• Ontea Creation the instances of ontological
  concepts are created in the input text collection
  based on regular patterns matching.
• produce OWL ontology files which need to be
  integrated on central machine.
• Created instances are evaluated by computing
  their relevance using RTFS or Lucene indexing
  tool. The instances with relevance value above
  given threshold are identified as relevant and
  filled in result domain ontology OWL file. (stage
  related to RTFS tool)
• Ontea Search process for searching annotation
  tags within annotated text similarly to step one
  but using general keyword matching patterns. This
  results to executing more ontology queries and
  thus consuming more time.
• Last stage integrated produced semantic metadata
  to one knowledge base represented by OWL file.

NAZOU, 21-23. 9. 2007, Polana
6
Overovanie rýchlost (3)

• 500 job offers documents takes 67 minutes
• Intel(R) Pentium(R) 4 CPU 2.40GHz
• About 35000 Slovak offers on the web, many more
  in English language
• This means that periodic annotation of jobs takes
  78 hours more then 3 days
• Step 1 and 3 can run as distributed
• Tests run on 500 job offers documents which takes
  67 minutes
• This means that periodic annotation of jobs takes
  78 hours more then 3 days
• When submitting jobs with e.g. 1000 documents of
  job offers on one node 134 minutes 1000 doc
  on 35 nodes in grid 35000 doc
• (1000 document set 3M)
• 10 minutes of grid middleware overhead 60
  minutes data integration
• On grid 204 minutes 3 hours 24 minutes

NAZOU, 21-23. 9. 2007, Polana
7
Publikácie

• Michal Laclavík, Marek Ciglan, Martin eleng,
  Ladislav Hluchý Empowering Automatic Semantic
  Annotation in Grid, PPAM 2007, Springer, LNCS
• Michal Laclavík, Marek Ciglan, Martin eleng,
  Stanislav Krajcí, Peter Vojtek, Ladislav Hluchý
  Semi-automatic Semantic Annotation of Slovak
  Texts, SLOVKO 2007
• Michal Laclavík, Marek Ciglan, Martin eleng
  Ontea Semi-automatic Pattern based Text
  Annotation empovered with Information Retrieval
  Methods NAZOU-ITAT, 2007
• Michal Laclavik, Martin Seleng, Emil Gatial,
  Zoltan Balogh, Ladislav Hluchy Ontology based
  Text Annotation OnTeA Information Modelling
  and Knowledge Bases XVIII. IOS Press, Amsterdam,
  Marie Duzi, Hannu Jaakkola, Yasushi Kiyoki, Hannu
  Kangassalo (Eds.), Frontiers in Artificial
  Intelligence and Applications, Vol. 154, February
  2007, pp.311-315. ISBN 978-1-58603-710-9, ISSN
  0922-6389.