CSC 9010: AeroText, Ontologies, AeroDAML

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CSC 9010 AeroText, Ontologies, AeroDAML

• Dr. Paula Matuszek
• Paula_A_Matuszek_at_glaxosmithkline.com
• [phone]

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AeroText

• Information Extraction tool marketed by Lockheed
  Martin
• Capabilities similar to GATE
• Much better developed IDE
• Less open to extensions of the system itself.
• Equally steep learning curve for effective use!
• Lockheed AeroText General Overview
• Lockheed AeroText White Paper

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AeroText Demo
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Ontologies

• Information Extraction requires modeling
  extensive domain knowledge
• Other applications of text mining, such as
  document categorization, can also use domain
  information
• In modeling such knowledge we often create an
  ontology An explicit formal specification of
  how to represent the objects, concepts, and other
  entities that are assumed to exist in some area
  of interest and the relationships that hold among
  them.

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A Simple Ontology Birthdates

• Objects, concepts, entities
• Months, days, years
• dates
• first names
• last names
• persons
• birthdates
• Relationships between them
• a date has exactly one month, day, year
• a birthdate is a date
• a person has at least 1 first name and exactly 1
  last name
• a person has a birthdate
• a birthdate has a person

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Who and Why?

• Many groups are developing ontologies
• standardize terms and vocabulary
• facilitate the semantic web
• improve information integration
• interested in the domain itself
• Some ontologies under development
• Cyc
• GO (Gene ontology)
• UMLS (Unified Medical Language System)
• CIA World Factbook

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DAML

• DARPA Agent Markup Language
• A language for describing ontologies
• Example an ontology for dates
• Extensive information available at www.daml.org.

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UBOT

• UML Based Ontology Toolkit
• Part of a DARPA project to automatically mark up
  web pages to make them
• The purpose of DAML is to annotate information on
  the web to make it machine-readable so that
  software agents can interpret it and reason with
  it the semantic web
• http//ubot.lockheedmartin.com/ubot/intro/index.ht
  ml

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AeroDAML

• AeroDAML is a web service that takes a web page
  as an input and generates DAML markup.
• Uses AeroText as the underlying extraction tool.
• Works with various ontologies.
• Paper describing system

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Lab try out AeroDAML

• AeroDAML page

• Choose a news page (www.phillynews.com, Google
  News, ...) and tag it with the Cyc and CIA
  ontologies.
• How well did each ontology do at picking up
  content? Did they miss things they should have
  found? Was anything tagged incorrectly?
• Repeat for one of your domain-specific documents,
  or a web page in a specific area. Try a different
  ontology if you think one of the others might be
  more interesting.
• How was the annotation different?
• Are we enabling the semantic web?