* banner

Note: JavaScript is disabled, see the Site Map for navigation links

Scalable Semantic Annotation using Lattice-based Ontologies
Jackie Man-Kit Leung, Thomas Mandl, Edward A. Lee, Beth Osyk, Charles Shelton, Stavros Tripakis, Ben Lickly

Citation
Jackie Man-Kit Leung, Thomas Mandl, Edward A. Lee, Beth Osyk, Charles Shelton, Stavros Tripakis, Ben Lickly. "Scalable Semantic Annotation using Lattice-based Ontologies". 12th International Conference on Model Driven Engineering Languages and Systems, ACM/IEEE, 393-407, 8, October, 2009; (recipient of the MODELS 2009 Distinguished Paper Award).

Abstract
Including semantic information in models helps to expose modeling errors early in the design process, engage a designer in a deeper understanding of the model, and standardize concepts and terminology across a development team. It is impractical, however, for model builders to manually annotate every modeling element with semantic properties. This paper demonstrates a correct, scalable and automated method to infer semantic properties using lattice-based ontologies, given relatively few manual annotations. Semantic concepts and their relationships are formalized as a lattice, and relationships within and between components are expressed as a set of constraints and acceptance criteria relative to the lattice. Our inference engine automatically infers properties wherever they are not explicitly specified. Our implementation leverages the infrastructure in the Ptolemy II type system to get efficient and scalable inference and consistency checking. We demonstrate the approach on a non-trivial Ptolemy II model of an adaptive cruise control system.

Electronic downloads

Citation formats
  • HTML
    Jackie Man-Kit Leung, Thomas Mandl, Edward A. Lee, Beth
    Osyk, Charles Shelton, Stavros Tripakis, Ben Lickly. <a
    href="http://chess.eecs.berkeley.edu/pubs/611.html"
    >Scalable Semantic Annotation using Lattice-based
    Ontologies</a>, 12th International Conference on Model
    Driven Engineering Languages and Systems, ACM/IEEE, 393-407,
    8, October, 2009; (recipient of the MODELS 2009
    Distinguished Paper Award).
  • Plain text
    Jackie Man-Kit Leung, Thomas Mandl, Edward A. Lee, Beth
    Osyk, Charles Shelton, Stavros Tripakis, Ben Lickly.
    "Scalable Semantic Annotation using Lattice-based
    Ontologies". 12th International Conference on Model
    Driven Engineering Languages and Systems, ACM/IEEE, 393-407,
    8, October, 2009; (recipient of the MODELS 2009
    Distinguished Paper Award).
  • BibTeX
    @inproceedings{LeungMandlLeeOsykSheltonTripakisLickly09_ScalableSemanticAnnotationUsingLatticebasedOntologies,
     author = {Jackie Man-Kit Leung and Thomas Mandl and Edward
     A. Lee and Beth Osyk and Charles Shelton and
     Stavros Tripakis and Ben Lickly},
     title = {Scalable Semantic Annotation using Lattice-based
     Ontologies},
     booktitle = {12th International Conference on Model Driven
     Engineering Languages and Systems},
     organization = {ACM/IEEE},
     pages = {393-407},
     day = {8},
     month = {October},
     year = {2009},
     note = {(recipient of the MODELS 2009 Distinguished Paper
     Award)},
     abstract = {Including semantic information in models helps to
     expose modeling errors early in the design
     process, engage a designer in a deeper
     understanding of the model, and standardize
     concepts and terminology across a development
     team. It is impractical, however, for model
     builders to manually annotate every modeling
     element with semantic properties. This paper
     demonstrates a correct, scalable and automated
     method to infer semantic properties using
     lattice-based ontologies, given relatively few
     manual annotations. Semantic concepts and their
     relationships are formalized as a lattice, and
     relationships within and between components are
     expressed as a set of constraints and acceptance
     criteria relative to the lattice. Our inference
     engine automatically infers properties wherever
     they are not explicitly specified. Our
     implementation leverages the infrastructure in the
     Ptolemy II type system to get efficient and
     scalable inference and consistency checking. We
     demonstrate the approach on a non-trivial Ptolemy
     II model of an adaptive cruise control system. },
     URL = {http://chess.eecs.berkeley.edu/pubs/611.html}
    }
    

Posted by Christopher Brooks on 4 Aug 2009.
Groups: pthomas
For additional information, see the Publications FAQ or contact webmaster at chess eecs berkeley edu.

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

©2002-2018 Chess

AltStyle によって変換されたページ (->オリジナル) /