Evolving the BCO-DMO search interface - experience with semantic and smart search Cyndy Chandler (WHOI) Peter Fox (RPI and WHOI) Robert Groman, Dicky Allison.

Evolving the BCO-DMO search interface - experience with semantic and smart

searchCyndy Chandler (WHOI)

Peter Fox (RPI and WHOI)Robert Groman, Dicky Allison Andy Maffei (WHOI)

Patrick West, Stephan Zednik (RPI)EGU 2010 Ocean Informatics

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Basis of effort

• Staff and graduate students from the Tetherless World Constellation at Rensselaer Polytechnic Institute (RPI) have been collaborating with the Biological and Chemical Oceanography Data Management Office (BCO-DMO) -- a project operating out of the Woods Hole Oceanographic Institution and funded by the National Science Foundation.

• RPI staff and BCO-DMO team-members have been working with oceanographers, data managers, ontology modelers, software engineers and other experts to iteratively design and develop a semantically enabled prototype showing how domain scientists are able to perform better and smarter searches for data, access and manipulate more data sets, and begin to keep track of data provenance.

• There are plans for the features demonstrated in this prototype to be incorporated into BCO-DMO’s production website.

• If time: image informatics.. New results

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Modern informatics enables a new scale-free** framework approach

• Use cases• Stakeholders• Distributed

authority• Access control• Ontologies• Maintaining

Identity

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Team…

• Collaboration: Small team of mixed skills created in order to provide a scientific infrastructure that is usable and extensible, providing semantic integration, and knowledge representation while requiring depth in each of the science areas.

• Facilitator - knows iterative methodology, guides the exercise

• Domain experts – knows resources, data, applications, tools

• Ontology modelers – to extract objects/relations from use cases and discussion

• Data Managers – understands the storage, organization and access to datasets

• Software engineers – responsible for architecture and technology aspects

• Scribe – capturing everything discussed

• Social Scientist – optional, as process is as much a social exercise as it is a technical and methodical activity

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Tools

• Omni Graffle – Creation of Faceted-Browse Mockups

• CmapTools COE – Creation of Ontology Models, Causality graphs for provenance

• Protégé – Creation of Ongology and Individuals

• Skype (IM and VOIP), Dimdim (Web Conferencing), MediaWiki – Collaboration tools

• Google Web Toolkit + SmartGWT – Rapid UI Prototyping

• Jena/TDB and Joseki – triple store and SPARQL endpoint server – can be extended to perform reasoning and the execution of semantic rules.

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Use cases

1. Do you have any data online from Hutchins from award number OCE-0423418?

2. I want to download (temperature, biological, ...) data in the following areas (N. Atlantic, bounding box, where JGOFs survey was done, ...)

3. What new data has been added since last year (and organize it by project)

4. Show me all the places where the surface temperature in the North Atlantic is 25 degrees during June.

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Quick prototype of use case 1

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Evolving the ontology model

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To…

• Example where the iterative process helped to develop an understanding by WHOI domain experts ontologies and translating their concepts into an ontology and the ontology developers to understand the specific domain vocabulary.

• Successive iterations helped to expand and simplify concepts and incorporate already existing ontologies.

• Similar in instrument, platform, parameter ontology development.

Includes all of the foaf concepts for name, contact information, interests

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Current version

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Current version

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Summary

• Migrated a database driven, highly programmed implementation into an ontology and smart query driven search with modest effort (okay, a few brain cells died along the way)– Use case driven– Ontology driven at many levels– Application oriented, rapid prototyping

• All along the way, we evaluated our semantic developments (ontologies) and implementation to gauge their benefits or deficiencies

• Continuing to add functions based on new use cases

HABCAM Image Informatics Color and Illumination

• Prof. Chuck Steward (RPI)• Students: Ryan Leary and Zack

Schilling• Problems addressed:

– Illumination• Across images• Within image

– Color• Differing attenuation in water for red,

green and blue

– Demosaicing is noisy• Approach:

– Combined physical and empirical model

Color Correction Based on Beer’s Law

Before

After

Illumination Correction Based on Light-Field Map

Before

After

Difference

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Further Information

• http://tw.rpi.edu/portal/BCO-DMO • Contacts:

– [email protected]– [email protected], [email protected]