Ontea: Pattern based Annotation Platform

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Ontea Pattern based Annotation Platform

• Michal Laclavík

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Ontea Method

• Motivation
• To create semantic meta data from texts or
  documents
• Approach
• Even unstructured text contains patterns
• Patterns can be used to extract various objects
  from text
• Results are key - value pairs
• Such pairs can be transformed to ontology
  individuals
• Class individual
• Individual property

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Result Examples

• Text
• Bratislava is the capital of Slovakia. Slovakia
  is in Europe.
• Pattern (inby) (the)? (A-Za-z) for
  Location
• Ontea discovers key value pair
• Location Europe
• By transformation to ontology knowledge base - it
  finds Europe as continent using inference
  (sub-class of Location)
• Continent Europe
• More Examples are in the table

Text Key value Patterns regular expressions
1 Apple, Inc. Company Apple Company (A-Za-z0-9), (IncLtd)
2 Mountain View, CA 94043 Settlement Mountain View Settlement (A-Za-z A-Za-z) A-Z2 0-95
3 laclavik.ui_at_savba.sk Email laclavik.ui_at_savba.sk Email -_.a-z0-9_at_-_.a-zA-Z0-9\.a-z2,8
4 Mr. Michal Laclavik Person Michal Laclavik Person (Mr.Mrs.Dr.) (A-Za-z A-Za-z)
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Features

• Identification of concept instances from the
  ontology
• Automatic population of ontologies with instances
• Identifying relevance, when creating instances
  using information retrieval techniques
• Large scale semantic annotation of documents or
  texts using Googles MapReduce architecture.

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Advantages

• Simple, customizable method
• Not tied to document structure
• Architecture build on detection of key-value
  pairs and its various transformation. For
  example
• Text Slovensko je v Európegt
• Extraction Location Európe gt
• Transformation, Lemmatization Location Európa
  gt
• Transformation, Ontology Continent Europe
• Scalable method. Ported to Grid and Hadoop.
• Applicable on texts in any language
• Success rate 60-90 depending on used patterns,
  transformers and application

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Integration with other tools
DocConverter
URL
Plain Text
Nalit
Language Identification
Ontea
Pattern Matching
Morphonary
Transformation Lemmatization
Transformation Individual Search and Creation
Transformation Relevance Identification
Lucene
Ontology Repository
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Future research development

• http//ontea.sourceforge.net/