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
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).
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).
@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
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