Semantic Process for Engineering Design · from Eng. Design • Capture the semantics of industrial...
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Semantic Processing for Engineering Design Adj. Prof Ossi Nykänen, [email protected] , [email protected] Tampere University of Technology (TUT), Department of Mathematics, Hypermedia Laboratory 1 10/3/2012 TUT W3C Web Technology Day, October 3, 2012, TUT, Tampere
Transcript of Semantic Process for Engineering Design · from Eng. Design • Capture the semantics of industrial...
Semantic Processing for Engineering Design
Adj. Prof Ossi Nykänen, [email protected], [email protected] University of Technology (TUT),
Department of Mathematics, Hypermedia Laboratory
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10/3/2012
TUT W3C Web Technology Day, October 3, 2012, TUT, Tampere
Intro: TUT/ Department of Mathematics
• Staff around 60(+), 6 Full Professors • Director Prof. Seppo Pohjolainen
• Math education & competitive research • Mathematical analysis with applications• Discrete mathematics• Mathematical modelling• Technology enhanced learning and information modelling
(Hypermedia laboratory, Math education, ...)
• Significant project portfolio (incl. applications)
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Intuitive Rationale for Today: Semantics (?)
• Imagine that you are given a dataset that is so big and/or complex that don’t have any insight into it as such:
D• How do we understand the underlying phenomenon?
• That’s easy: Let’s “look into” the data D
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Example: Comparing 400 Automobiles4
3.10.2012Source: Telea, A. 2008. Data Visualization, A K Peters
Example: Managing Software Modularity5
3.10.2012Source: Telea, A. 2008. Data Visualization, A K Peters
Example: Analysing Evolution of Design6
3.10.2012Source: Telea, A. 2008. Data Visualization, A K Peters
Now Wait a Second...
• Exactly how can we “look into” the data?• What if can’t (omnipotenly) “see” data ─ “where” to look?
─ Don’t look into D, but a semantically annotated version of it (cf. prev. examples):
Desc(D)• …a machine-understandable version of D(a bit like D for Dummies, but for software tools…)
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Quick (?) Solution: Semantic Annotations8
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Enclose Semantics & Transform
Imported Dataset DSemantically
Enriched DatasetDesc(D)
Application via App(Desc(D))
[Use Case]
Semantic Annotation
…e.g. using SemWebTechnologies & Linked Data (LD) Vocabularies, by identifying resources, literal properties, and relationships with other resources (perhaps w.r.t. some common domain ontology)
A Better Solution: Semantic Process9
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Semantic Process(…don’t re-engineer
semantics ─ capture themin the making)
Transform
Application-SpecificMapping
App(Desc(D))
Semantics-Sensitive
Data Acquisition
Data DCreation & Mngmnt Process
[Feedback & Utility]
[Use Case]
Imported, Semantically Rich Dataset Desc(D)
Application (Using General-
Purpose Components)
A More Serious (?) Example from Eng. Design
• Capture the semantics of industrial data processing pipelines, for validation, process control, optimization, and viz. & simulation generation applications (see e.g. the related JIEM article)
• Aligning information, consistency checking, APIs, reasoning, domain modeling, …
• Others apps (at Math Dept.): Social network analysis, simulator design, mathematical modeling, intelligent information systems, …
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Conclusion
• Complex data can be understood & processed only indirectly, via machine-understandable descriptions (↔methods)
• Instead of annotating data, re-engineering the semantics, one should aim for a rich & sustainable semantic process
• Thank you!• Got interested?
Contact: Adj. Prof Ossi Nykänen, Dept. ofMathematics, Hypermedia Laboratory, W3C Finnish Office, SmartSimulators, …
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