1 / 10

Toward Ontology-Based Component Composition

Toward Ontology-Based Component Composition. Kenneth Baclawski and Artan Simeqi College of Computer Science Northeastern University. Component Composition. Increasingly common software development technique. “Feature interaction” is a serious problem.

lyre
Télécharger la présentation

Toward Ontology-Based Component Composition

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Toward Ontology-Based Component Composition Kenneth Baclawski and Artan Simeqi College of Computer Science Northeastern University

  2. Component Composition • Increasingly common software development technique. • “Feature interaction” is a serious problem. • Validation is very hard and rarely done. • Prospects for improvement are dismal: • Lamport predicted that it would not be a practical concern within the next 10 years.

  3. Pseudo-Programming Languages • General purpose languages for specifying component composition. • Only support limited kinds of component connector and system requirement. • The main technique for specifying component composition today. • Actually make it harder to validate compositions! (Lamport 1997)

  4. Back to Basics: Mathematics • Mathematical proofs are already inherently compositional. • Mathematics is more general and more powerful than any PPL. • Why are we trying to improve on mathematical reasoning?

  5. Ontology • Shared understanding within a community. • Formal, declarative semantic model • An ontology may include: • Vocabulary terms • Taxonomic and other relationships • Constraints, inference rules and assertions • Theorems, lemmas and corollaries • An ontology is a mathematical theory.

  6. Ontology-Based Computing • Apply general mathematical reasoning to specialized domains specified by ontologies. • By contrast, PPLs apply specialized reasoning without any domain specificity. PPL Domains Ontology Mathematical Constructs

  7. Suggested Approach • Theory is the fundamental building block. • Theories can be composed using the colimit. • A theory can be interpreted using concrete models • Ontologies, requirements, environments and component specifications are theories. • Justification (proof trace) is a formal proof represented as a data structure that can be queried and manipulated using automated tools.

  8. Metamodel for Ontology-based Component Composition

  9. Dynamic Composition and Reconfiguration for Sensor Systems • Extreme test case for ontology-based component composition • These are hard real-time systems that can operate at a nanosecond time scale. • Validation for a reconfiguration must occur without human interaction in seconds while a mission is occurring. • Lives depend on correctness.

  10. Conclusion • Ontology-based computing is emerging as an important new computing paradigm. • Basing component composition on ontologies has many advantages: • Grounded in general mathematical reasoning • Tractability can be addressed • Close connection with the domain language • Uses the compositionality of mathematics.

More Related