OntoELAN: An OntologyBased Linguistic Multimedia Annotator - PowerPoint PPT Presentation

Title: OntoELAN: An OntologyBased Linguistic Multimedia Annotator


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OntoELAN An Ontology-Based Linguistic
Multimedia Annotator
Speaker Artem Chebotko (artem_at_cs.wayne.edu) Dep
artment of Computer Science Wayne State
University
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Coauthors
From left Ms. Yu Deng, graduated with M.S. in
Computer Science in 2004 Prof. Shiyong Lu,
Computer Science, my advisor Prof. Farshad
Fotouhi, Computer Science, Chair of the
department Prof. Anthony Aristar, Dept. of
English, Linguistics Program. All at the Wayne
State University. Hennie Brugman, Alexander
Klassmann, Han Sloetjes, Albert Russel, Peter
Wittenburg, Max Planck Institute for
Psycholinguistics, Nijmegen, Netherlands. Acknowle
dgements Laura Buszard-Welcher and Andrea Berez,
Dept. of English, Linguistics Program, WSU.
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The Outline of The Talk

• Background and Motivation
• The Limitations of Existing Tools
• Our Approach and Advantages
• An Overview of OntoELAN
• Demo

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Background and Motivation

• Linguistics
• Many languages are in serious danger of being
  lost
• In fact, half of the world's approximately 6,500
  languages may disappear in the next 100 years
• Language data is critical to the research of
  linguistics, anthropology, history, sociology,
  and political science, etc.
• Language data is also important for the community
  of that language.

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Background and Motivation

• Multimedia
• Many language data are collected as audio and
  video recordings
• Difficult for indexing and retrieval because
  multimedia data are not structured and their
  semantics are implicit in their contents.
• Annotation of multimedia data provides an
  opportunity for making the semantics explicit

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Background and Motivation

• Ontology-based annotation
• An ontology is an explicit specification of a
  shared conceptualization. It formalizes the
  knowledge of various concepts and their
  relationships in a particular domain
• Annotation with ontological terms, whose meaning
  is known and understood by the domain community

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Requirements for a Linguistic Multimedia
Annotator

• Support for the annotation of descriptive
  metadata such as title, authors, date, time, etc.
• Support for a time axis and temporal segmentation
  of clips into slots
• Support for multiple-tier annotation, with each
  tier providing one avenue for annotation
• Support for ontology-based annotation to avoid
  incompatible formats and vocabularies

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The Limitations of Existing Tools

• Either dont support ontology
• IBM MPEG-7 Annotation Tool, ELAN
• or provide limited support of multimedia
• Protégé, ImageSpace, IBM MPEG-7 Annotation Tool

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Our Approach and Advantages

• We developed an ontology-based annotation tool,
  OntoELAN, for linguistic multimedia data that
  satisfies all the above requirements
• The ontological approach eliminates multiple
  incompatible annotation formats
• if the whole community can agree upon one domain
  ontology
• Annotations are formally defined and machine
  interpretable
• Deduction of additional, implicit information
• Search is precise and easier

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An Overview of OntoELAN

• Developed on the top of ELAN annotator
• Max Planck Institute for Psycholinguistics team
• Features inherited from ELAN
• display a speech and/or video signals, together
  with their annotations
• time linking of annotations to media streams
• linking of annotations to other annotations
• unlimited number of annotation tiers as defined
  by a user
• different character sets
• basic search facilities.

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An Overview of OntoELAN

• Ontology support
• Wayne State University team
• New features
• language profile creation
• ontology-based annotation
• storing annotations in the XML format based on
  the General Multimedia Ontology and domain
  ontologies.

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An Overview of OntoELAN
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An Overview of OntoELAN
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Linguistic Domain Ontology

• One example is the General Ontology for
  Linguistic Description (GOLD)
• Developed at University of Arizona
• Expressions
• OrthographicExpression, Utterance,
  SignedExpression, Word, WordPart
• Grammar
• Tense, Number, Agreement, PartOfSpeech
• PartOfSpeech Noun, Verb, Participle, Preverb
• Data structures
• A lexical entry, a phoneme table and a syntactic
  tree
• Metaconcepts
• Language itself

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General Multimedia Ontology

• Simple semantic framework for multimedia
  annotation
• Developed at Wayne State University especially
  for OntoELAN
• AnnotationDocument
• Tier
• TimeSlot
• Annotation
• AlignableAnnotation
• ReferringAnnotation
• AnnotationValue
• StringAnnotation
• OntologyAnnotation
• etc.

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General Multimedia Ontology
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Language Profile

• is a subset of ontological terms, possibly
  renamed, that are used in the annotation of a
  particular multimedia resource
• ontological terms
• user-defined terms
• a mapping between ontological terms and
  user-defined terms
• a reference to an ontology

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Language Profile

• Advantages
• Only a subset of ontological terms is useful for
  a particular resource annotation
• Renaming ontological terms, e.g. use another
  language, give an abbreviation or a synonym
• Combining the meaning of two or many ontological
  terms in one user-defined term.
• Disadvantage
• More work

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Language Profile
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Annotation Tiers and Linguistic Types

• Annotation tiers
• contain annotation values
• can be either alignable or referring
• are associated with their linguistic types
• Linguistic types
• None
• Time Subdivision
• Symbolic Subdivision
• Symbolic Association
• Ontological tier

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Linguistic Multimedia Annotation with OntoELAN

• Language profile creation
• Creation of tiers
• Creation of annotations

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Linguistic Multimedia Annotation with OntoELAN
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Demos

• Language profile creation
• profile01.swf profile01.AVI
• profile02.swf profile02.AVI
• Creation of tiers Creation of annotations
• annotate01.swf annotate01.AVI
• annotate02.swf annotate02.AVI

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Conclusions and Future Work

• OntoELAN is the first attempt at annotating
  linguistic multimedia data with a linguistic
  ontology
• Future Work
• provide more channels for sharing data on the
  Web, such as the multimedia descriptions, the
  language words, etc.
• improve the current searching system
• integrate a text document annotation

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References

• Artem Chebotko, Yu Deng, Shiyong Lu and Farshad
  Fotouhi. An Ontology-based Multimedia Annotator
  for the Semantic Web of Language Engineering.
  International Journal on Semantic Web and
  Information Systems, January, 2005.
• Artem Chebotko et al. OntoELAN An Ontology-based
  Linguistic Multimedia Annotator. Proc. of the
  IEEE Sixth International Symposium on Multimedia
  Software Engineering (IEEE-MSE'2004), Miami, FL,
  USA, December, 2004.

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References

• OntoELAN
• http//www.cs.wayne.edu/yudeng/projects.htm
• LangDL A Digital Library For Language
  Engineering And Research
• http//database.cs.wayne.edu/proj/langdl/index.htm
  l
• ELAN
• http//www.mpi.nl/tools/elan.html
• E-MELD
• http//www.emeld.org
• GOLD
• http//www.emeld.org/gold
• General Multimedia Ontology
• http//database.cs.wayne.edu/proj/OntoELAN/multime
  dia.owl

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Questions?

• Contact information
• Artem Chebotko
• artem_at_cs.wayne.edu
• 313-577-6711