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Catalog/ - PPT Presentation

ID Selected Logical Constraints disjointness inverse Terms glossary Thesauri narrower term relation Formal isa Frames properties Informal isa Formal instance ID: 364791

information data virtual knowledge data information knowledge virtual domain community ontology representation rpi metamorphic world metpetdb rensselaer polytechnic institute portal web search

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Slide1

Catalog/

ID

Selected

Logical

Constraints

(disjointness,

inverse, …)

Terms/

glossary

Thesauri

narrower

term”relation

Formalis-a

Frames(properties)

Informal

is-a

Formal

instance

Value Restrs.

Originally from AAAI 1999- Ontologies Panel by Gruninger, Lehmann, McGuinness, Uschold, Welty; – updated by McGuinness.Description in: www.ksl.stanford.edu/people/dlm/papers/ontologies-come-of-age-abstract.html

There’s not a lot of information here beyond the results of the search. If one clicks on

one of the result samples, you get the screen below with some information, but nothing that links to “knowledge information”. In other words, no links for what minerals are, or what chemical analysis were used, or who the owner is of the sample, linked data, project information, etc…

If you know where to look, you can click on the “Wiki” tab to get some additional information. But context is lost at that point.

Semantically Enabled Knowledge Representation

of Metamorphic Petrology Data

Patrick West

1 (

westp@rpi.edu), Peter Fox1(pfox@cs.rpi.edu), Frank Spear2 (spearf@rpi.edu),Sibel Adali3(sibel@cs.rpi.edu), Cam Le Nguyen1(nguyec6@rpi.edu),Benjamin Hallett2(benwhallett@gmail.com), L. K.S. Horkley2(horkll@rpi.edu)(1Tetherless World Constellation, Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States)(2Earth and Environmental Science, Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States)(3Department of Computer Science, Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States)

Glossary

:

bibTeX

ontology for

bibliographic data (http://zeitkunst.org/bibtex/0.1/)CMS – Content Management SystemFOAF - Friend of a FriendMetPetDB – Metamorphic Petrology Data BaseO&M – Observations and Measurements (http://www.opengeospatial.org/standards/om) OWL – Web Ontology LanguageRDFs – Resource Description Framework SchemaRPI/TWC – Rensselaer Polytechnic Institute / Tetherless World ConstellationSWEET – Semantic Web for Earth and Environmental Terminology (http://sweet.jpl.nasa.gov) XSL – Extensible Stylesheet LanguageVSTO – Virtual Solar Terrestrial Observatory

Acknowledgments:Stephan Zednik and Evan Patton – Tetherless World Constellation

Abstract

Sponsors:

Tetherless World Constellation, Rensselaer Polytechnic Institute

IN51A-1685

More and more metamorphic petrology data is being collected around

the world, and is now being organized together into different virtual data portals by means of virtual organizations. For example, there is the virtual data portal Petrological Database (PetDB, http://www.petdb.org) of the Ocean Floor that is organizing scientific information about geochemical data of ocean floor igneous and metamorphic rocks; and also The Metamorphic Petrology Database (MetPetDB, http://metpetdb.rpi.edu) that is being created by a global community of metamorphic petrologists in collaboration with software engineers and data managers at Rensselaer Polytechnic Institute. The current focus is to provide the ability for scientists and researchers to register their data and search the databases for information regarding sample collections.What we present here is the next step in evolution of the MetPetDB portal, utilizing semantically enabled features such as discovery, data casting, faceted search, knowledge representation, and linked data as well as organizing information about the community and collaboration within the virtual community itself. We take the information that is currently represented in a relational database and make it available through web services, SPARQL endpoints, semantic and triple-stores where inferencing is enabled. We will be leveraging research that has taken place in virtual observatories, such as the Virtual Solar Terrestrial Observatory (VSTO) and the Biological and Chemical Oceanography Data Management Office (BCO-DMO); vocabulary work done in various communities such as Observations and Measurements (ISO 19156), FOAF (Friend of a Friend), Bibo (Bibliography Ontology), and domain specific ontologies; enabling provenance traces of samples and subsamples using the different provenance ontologies; and providing the much needed linking of data from the various research organizations into a common, collaborative virtual observatory.In addition to better representing and presenting the actual data, we also look to organize and represent the knowledge information and expertise behind the data. Domain experts hold a lot of knowledge in their minds, in their presentations and publications, and elsewhere. Not only is this a technical issue, this is also a social issue in that we need to be able to encourage the domain experts to share their knowledge in a way that can be searched and queried over. With this additional focus in MetPetDB the site can be used more efficiently by other domain experts, but can also be utilized by non-specialists as well in order to educate people of the importance of the work being done as well as enable future domain experts.

Current System

Relational database used to store data.

Good Enough for portals with simple search capabilities

But more requirements being placed on systems to not only provide data, but to provide knowledge information

and links to other systems.For this, we need a more expressive representation of the data, and the metadata, and community information

Modern informatics enables a new scale-free framework approach

To accomplish the re-development of the MetPetDB portal we have decided to follow the Semantic Web Methodology and Technology Development Process, as developed by Peter Fox at Tetherless World Constellation. This methodology is an iterative approach to developing semantically-enabled knowledge information systems.Start with face-to-face meetings with current researchers and developers,Take a look at the current portal (upper right). Develop use cases from current usage models as well as future usage.Analyze the information modelsDevelop more expressive representations of the informationReview the informationIterate and Evolve

Results and Next Steps

ResultsDeveloped information model from knowledge extraction of relational schemaDeveloped web services to provide common information extractionCreation of community portal using Drupal CMS for community participationNext StepsDetermine useful existing vocabularies and ontologies, e.g. FOAF, SWEET, O&M, VSTO, bibTeXComplete development of RDFs – OWL representation of knowledge informationExpand web services, response representation, and availability to faceted searchDevelopment of faceted search/browse interface using S2SImplement Linked Data and link to other efforts (PetDB, EarthChem)

Relational

Current System

Next Generation System

Not only do we represent concepts, but relationships between concepts.Both concepts and relationships are first class citizensCommon vocabulary, taxonomy, RDFs, owl ontology … more expressive representation of knowledge informationShare and tie together formal representation with other effortsBecomes a linked virtual observatoryEasier implementation and evolution of concepts and relationshipsImplementation of faceted browsing capabilitiesDiscovery mechanismsTying together science domain, community domain, educational domain, provenance domain.

Next Generation System

Knowledge RepresentationSWEET ontology for elements, minerals, processes, matterFOAF – Friend of a Friend for person, roles, documents, organizations, relationships betweenO&M – ontology for sampling, measurements of components, observational informationbibTeX – ontology for bibliographic information

Ontology Spectrum/Expressivity

Embedded faceted search interface into the MetPetDB Community Portal.

Facets for concepts

People

Projects

Minerals

Elements

Chemical Analysis

Regions

Information easy to click to

Information pages for each instance of a concept

Links to more information