SlideShare a Scribd company logo
Using the Semantic Web to Support Ecoinformatics Andriy Parafiynyk University of Maryland, Baltimore County http://ebiquity.umbc.edu/paper/html/id/319/Using-the-Semantic-Web-to-Support-Ecoinformatics Joint work with  Tim Finin ,  Joel Sachs, Cynthia Sims Parr, Rong Pan, Lushan Han,  Li Ding (UMBC),  Allan Hollander (UCD), David Wang (UMCP)    This research was supported by NSF ITR 0326460  and matching funds received from USGS National Biological Information Infrastructure
Invasive Species ,[object Object],[object Object],[object Object],[object Object],[object Object]
Currently most common ways of dealing with data among biologists: ,[object Object],[object Object],[object Object],[object Object]
Semantic Web can offer: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
OLD NEW Green: data gathering;  Pink: data integration and manipulation White: data analysis;  Blue: results dissemination Collect data OR Find data tables in literature or data registry OR Email author of data Massage data manually Write up metadata record Register dataset with data registry Start over for next project Run analyses Publish paper Post supplemental data file on web Create local spreadsheet Build automatically updating dynamic dataset Develop intelligent query for semantic web data Download to local spreadsheet Run analyses Publish paper Reanalyze using latest dataset (Query and data already publicly available)
[object Object],[object Object],[object Object],[object Object],[object Object]
Food Webs ,[object Object],[object Object],[object Object],[object Object],[object Object]
East River Valley Trophic Web   http://www.foodwebs.org/
Species List Constructor ,[object Object]
The problem ,[object Object],[object Object],[object Object]
Food Web Constructor ,[object Object],In an new estuary, Nile Tilapia could compete with ostracods (green) to eat algae. Predators (red) and prey (blue) of ostracods may be affected
Evidence Provider ,[object Object]
ELVIS ,[object Object],[object Object],[object Object]
Background Ontologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data representation:  ETHAN Ontology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using ETHAN and OWL inferencing  to predict success of invasive species ,[object Object],[object Object],[object Object],yummy!!! yummy???
[object Object],[object Object],[object Object]
Applications and use cases ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1 2 3
Search for ontologies which contain this terms 1
746 ontologies were found that had these two terms By default, ontologies are ordered by their ‘popularity’, but they can also be ordered by date or size.
We can also search for any  RDF documents containing these terms
5,378 documents were found that had these two terms
UMBC Triple Shop ,[object Object],[object Object],[object Object],[object Object],[object Object],3 2
What are body masses of fishes that eat fishes? . . . leaving out the FROM clause Swoogle Triple Shop
specify dataset
RDF documents were found that might have useful data
We’ll select them all and add them to the current dataset.
We’ll run the query against this dataset to see if the results are as expected.
The results can be produced in any of several formats
Results http://sparql.cs.umbc.edu/tripleshop2/
Looks like a useful dataset.  Let’s save it and also materialize it the TS triple store.
Contributions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

An Open Repository Model for Acquiring Knowledge About Scientific Experiments
An Open Repository Model for Acquiring Knowledge About Scientific ExperimentsAn Open Repository Model for Acquiring Knowledge About Scientific Experiments
An Open Repository Model for Acquiring Knowledge About Scientific Experiments
CEDAR: Center for Expanded Data Annotation and Retrieval
 
FISHLink Presentation at JISC MRD Workshop
FISHLink Presentation at JISC MRD WorkshopFISHLink Presentation at JISC MRD Workshop
FISHLink Presentation at JISC MRD Workshop
seanb
 
Proteomics resources at the EBI & ExPASy
Proteomics resources at the EBI & ExPASyProteomics resources at the EBI & ExPASy
Proteomics resources at the EBI & ExPASy
Christ College, Rajkot
 
Bio 1B Library Skills Lecture
Bio 1B Library Skills LectureBio 1B Library Skills Lecture
Bio 1B Library Skills Lecture
library_cat
 
DAS game: how a programmer thinks
DAS game: how a programmer thinksDAS game: how a programmer thinks
DAS game: how a programmer thinks
Rafael C. Jimenez
 
A Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
A Provenance assisted Roadmap for Life Sciences Linked Open Data CloudA Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
A Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
Syed Muhammad Ali Hasnain
 
Preprints: a journey though time
Preprints: a journey though timePreprints: a journey though time
Preprints: a journey though time
Graham Steel
 
Bioinformatics Databases
Bioinformatics DatabasesBioinformatics Databases
Bioinformatics Databases
cschlos2
 
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
marcosmartinezromero
 
Kegg database resources
Kegg database resources Kegg database resources
Kegg database resources
innocent87
 
Copyright basics and update 5 9 2013
Copyright basics and update 5 9 2013Copyright basics and update 5 9 2013
Copyright basics and update 5 9 2013
Elizabeth Brown
 
phylosmith
phylosmithphylosmith
phylosmith
sdsmith1390
 
2014 ASPB Presentation- Berardini
2014 ASPB Presentation- Berardini2014 ASPB Presentation- Berardini
2014 ASPB Presentation- Berardini
Phoenix Bioinformatics
 
CDD poster
CDD posterCDD poster
Keeping Current with Scholarly Literature
Keeping Current with Scholarly LiteratureKeeping Current with Scholarly Literature
Keeping Current with Scholarly Literature
Robin Featherstone
 
FAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use CaseFAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use Case
Rothamsted Research, UK
 
Examples of ontology applications
Examples of ontology applicationsExamples of ontology applications
Examples of ontology applications
AIMS (Agricultural Information Management Standards)
 
Examples of Ontology Applications
Examples of Ontology ApplicationsExamples of Ontology Applications
Examples of Ontology Applications
AIMS (Agricultural Information Management Standards)
 
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
Tanner Jessel
 
Dr Sarah Adamowicz - Ecological studies
Dr Sarah Adamowicz - Ecological studiesDr Sarah Adamowicz - Ecological studies
Dr Sarah Adamowicz - Ecological studies
Consortium for the Barcode of Life (CBOL)
 

What's hot (20)

An Open Repository Model for Acquiring Knowledge About Scientific Experiments
An Open Repository Model for Acquiring Knowledge About Scientific ExperimentsAn Open Repository Model for Acquiring Knowledge About Scientific Experiments
An Open Repository Model for Acquiring Knowledge About Scientific Experiments
 
FISHLink Presentation at JISC MRD Workshop
FISHLink Presentation at JISC MRD WorkshopFISHLink Presentation at JISC MRD Workshop
FISHLink Presentation at JISC MRD Workshop
 
Proteomics resources at the EBI & ExPASy
Proteomics resources at the EBI & ExPASyProteomics resources at the EBI & ExPASy
Proteomics resources at the EBI & ExPASy
 
Bio 1B Library Skills Lecture
Bio 1B Library Skills LectureBio 1B Library Skills Lecture
Bio 1B Library Skills Lecture
 
DAS game: how a programmer thinks
DAS game: how a programmer thinksDAS game: how a programmer thinks
DAS game: how a programmer thinks
 
A Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
A Provenance assisted Roadmap for Life Sciences Linked Open Data CloudA Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
A Provenance assisted Roadmap for Life Sciences Linked Open Data Cloud
 
Preprints: a journey though time
Preprints: a journey though timePreprints: a journey though time
Preprints: a journey though time
 
Bioinformatics Databases
Bioinformatics DatabasesBioinformatics Databases
Bioinformatics Databases
 
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
ICBO2017 - Supporting Ontology-Based Standardization of Biomedical Metadata i...
 
Kegg database resources
Kegg database resources Kegg database resources
Kegg database resources
 
Copyright basics and update 5 9 2013
Copyright basics and update 5 9 2013Copyright basics and update 5 9 2013
Copyright basics and update 5 9 2013
 
phylosmith
phylosmithphylosmith
phylosmith
 
2014 ASPB Presentation- Berardini
2014 ASPB Presentation- Berardini2014 ASPB Presentation- Berardini
2014 ASPB Presentation- Berardini
 
CDD poster
CDD posterCDD poster
CDD poster
 
Keeping Current with Scholarly Literature
Keeping Current with Scholarly LiteratureKeeping Current with Scholarly Literature
Keeping Current with Scholarly Literature
 
FAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use CaseFAIR Agronomy, where are we? The KnetMiner Use Case
FAIR Agronomy, where are we? The KnetMiner Use Case
 
Examples of ontology applications
Examples of ontology applicationsExamples of ontology applications
Examples of ontology applications
 
Examples of Ontology Applications
Examples of Ontology ApplicationsExamples of Ontology Applications
Examples of Ontology Applications
 
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
ATBI Mapping Program: Species Distribution Models for Great Smoky Mountains N...
 
Dr Sarah Adamowicz - Ecological studies
Dr Sarah Adamowicz - Ecological studiesDr Sarah Adamowicz - Ecological studies
Dr Sarah Adamowicz - Ecological studies
 

Viewers also liked

PennTags presentation at Educause 2006
PennTags presentation at Educause 2006PennTags presentation at Educause 2006
PennTags presentation at Educause 2006
laurie.allen
 
Klinisch-Therapeutische Studien: EBM DIM
Klinisch-Therapeutische Studien: EBM DIMKlinisch-Therapeutische Studien: EBM DIM
Klinisch-Therapeutische Studien: EBM DIM
onitrix
 
Juan Pablo II
Juan Pablo IIJuan Pablo II
Juan Pablo II
manmanuel84
 
RIA - RDA - ROA
RIA - RDA - ROARIA - RDA - ROA
RIA - RDA - ROA
Didier Girard
 
Los 12 mas malos
Los 12 mas malosLos 12 mas malos
Los 12 mas malos
SoulStream
 
Writing in Cyberspace
Writing in CyberspaceWriting in Cyberspace
Writing in Cyberspace
Nancy McKeand
 
Wwsss intro2016-final
Wwsss intro2016-finalWwsss intro2016-final
Wwsss intro2016-final
Steffen Staab
 
Iquique - Chile, tiene de todo
Iquique - Chile, tiene de todo Iquique - Chile, tiene de todo
Iquique - Chile, tiene de todo
Angel Pablo Sr
 
Power Of 30 Seconds: Best Practices for Exceptional Support
Power Of 30 Seconds: Best Practices for Exceptional SupportPower Of 30 Seconds: Best Practices for Exceptional Support
Power Of 30 Seconds: Best Practices for Exceptional Support
todd.lewis
 
Phoenix for Rubyists - Rubyconf Brazil 2016
Phoenix for Rubyists - Rubyconf Brazil 2016Phoenix for Rubyists - Rubyconf Brazil 2016
Phoenix for Rubyists - Rubyconf Brazil 2016
Mike North
 
New Battleground for Customer Loyalty
New Battleground for Customer LoyaltyNew Battleground for Customer Loyalty
New Battleground for Customer Loyalty
Mattersight
 
Economía Blog
Economía BlogEconomía Blog
Economía Blog
Enrique Dans
 
On Physical Web models
On Physical Web modelsOn Physical Web models
On Physical Web models
Coldbeans Software
 
Model-based Testing Principles
Model-based Testing PrinciplesModel-based Testing Principles
Model-based Testing Principles
Henry Muccini
 
BPMN and Design Patterns for Engineering Social BPM Solutions
BPMN and Design Patterns for Engineering Social BPM SolutionsBPMN and Design Patterns for Engineering Social BPM Solutions
BPMN and Design Patterns for Engineering Social BPM Solutions
Marco Brambilla
 
Semantic Faceted Search with SemFacet presentation
Semantic Faceted Search with SemFacet presentationSemantic Faceted Search with SemFacet presentation
Semantic Faceted Search with SemFacet presentation
DBOnto
 
Mass Customisation In Scm
Mass Customisation In ScmMass Customisation In Scm
Mass Customisation In Scm
s2katoch
 
The Challenger Customer
The Challenger CustomerThe Challenger Customer
The Challenger Customer
Dreamforce
 
An Introduction to The Challenger Customer [Pat Spenner, CEB]
An Introduction to The Challenger Customer [Pat Spenner, CEB]An Introduction to The Challenger Customer [Pat Spenner, CEB]
An Introduction to The Challenger Customer [Pat Spenner, CEB]
Quarry
 

Viewers also liked (19)

PennTags presentation at Educause 2006
PennTags presentation at Educause 2006PennTags presentation at Educause 2006
PennTags presentation at Educause 2006
 
Klinisch-Therapeutische Studien: EBM DIM
Klinisch-Therapeutische Studien: EBM DIMKlinisch-Therapeutische Studien: EBM DIM
Klinisch-Therapeutische Studien: EBM DIM
 
Juan Pablo II
Juan Pablo IIJuan Pablo II
Juan Pablo II
 
RIA - RDA - ROA
RIA - RDA - ROARIA - RDA - ROA
RIA - RDA - ROA
 
Los 12 mas malos
Los 12 mas malosLos 12 mas malos
Los 12 mas malos
 
Writing in Cyberspace
Writing in CyberspaceWriting in Cyberspace
Writing in Cyberspace
 
Wwsss intro2016-final
Wwsss intro2016-finalWwsss intro2016-final
Wwsss intro2016-final
 
Iquique - Chile, tiene de todo
Iquique - Chile, tiene de todo Iquique - Chile, tiene de todo
Iquique - Chile, tiene de todo
 
Power Of 30 Seconds: Best Practices for Exceptional Support
Power Of 30 Seconds: Best Practices for Exceptional SupportPower Of 30 Seconds: Best Practices for Exceptional Support
Power Of 30 Seconds: Best Practices for Exceptional Support
 
Phoenix for Rubyists - Rubyconf Brazil 2016
Phoenix for Rubyists - Rubyconf Brazil 2016Phoenix for Rubyists - Rubyconf Brazil 2016
Phoenix for Rubyists - Rubyconf Brazil 2016
 
New Battleground for Customer Loyalty
New Battleground for Customer LoyaltyNew Battleground for Customer Loyalty
New Battleground for Customer Loyalty
 
Economía Blog
Economía BlogEconomía Blog
Economía Blog
 
On Physical Web models
On Physical Web modelsOn Physical Web models
On Physical Web models
 
Model-based Testing Principles
Model-based Testing PrinciplesModel-based Testing Principles
Model-based Testing Principles
 
BPMN and Design Patterns for Engineering Social BPM Solutions
BPMN and Design Patterns for Engineering Social BPM SolutionsBPMN and Design Patterns for Engineering Social BPM Solutions
BPMN and Design Patterns for Engineering Social BPM Solutions
 
Semantic Faceted Search with SemFacet presentation
Semantic Faceted Search with SemFacet presentationSemantic Faceted Search with SemFacet presentation
Semantic Faceted Search with SemFacet presentation
 
Mass Customisation In Scm
Mass Customisation In ScmMass Customisation In Scm
Mass Customisation In Scm
 
The Challenger Customer
The Challenger CustomerThe Challenger Customer
The Challenger Customer
 
An Introduction to The Challenger Customer [Pat Spenner, CEB]
An Introduction to The Challenger Customer [Pat Spenner, CEB]An Introduction to The Challenger Customer [Pat Spenner, CEB]
An Introduction to The Challenger Customer [Pat Spenner, CEB]
 

Similar to Using the Semantic Web to Support Ecoinformatics

The emerging biodiversity data ecosystem
The emerging biodiversity data ecosystemThe emerging biodiversity data ecosystem
The emerging biodiversity data ecosystem
Cyndy Parr
 
How the Encyclopedia of Life is wrangling organismal attribute data
How the Encyclopedia of Life is wrangling organismal attribute dataHow the Encyclopedia of Life is wrangling organismal attribute data
How the Encyclopedia of Life is wrangling organismal attribute data
Cyndy Parr
 
Shorthouse
ShorthouseShorthouse
Shorthouse
David Shorthouse
 
PENSOFT ARTICLE COLLECTION ABOUT MYANMAR
PENSOFT ARTICLE COLLECTION ABOUT MYANMARPENSOFT ARTICLE COLLECTION ABOUT MYANMAR
PENSOFT ARTICLE COLLECTION ABOUT MYANMAR
MYO AUNG Myanmar
 
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
Cyndy Parr
 
iEvoBio Keynote Talk 2010
iEvoBio Keynote Talk 2010iEvoBio Keynote Talk 2010
iEvoBio Keynote Talk 2010
Rob Guralnick
 
RPG iEvoBio 2010 Keynote
RPG iEvoBio 2010 KeynoteRPG iEvoBio 2010 Keynote
RPG iEvoBio 2010 Keynote
Rob Guralnick
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5
Jonathan Eisen
 
Big data nebraska
Big data nebraskaBig data nebraska
Big data nebraska
Adina Chuang Howe
 
ABIcurator.doc
ABIcurator.docABIcurator.doc
ABIcurator.doc
butest
 
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
Larry Smarr
 
Biodiversity Informatics: An Interdisciplinary Challenge
Biodiversity Informatics: An Interdisciplinary ChallengeBiodiversity Informatics: An Interdisciplinary Challenge
Biodiversity Informatics: An Interdisciplinary Challenge
Bryan Heidorn
 
The Encyclopedia of Life: How realistic is it?
The Encyclopedia of Life: How realistic is it?The Encyclopedia of Life: How realistic is it?
The Encyclopedia of Life: How realistic is it?
anadm
 
Microbial Metagenomics Drives a New Cyberinfrastructure
Microbial Metagenomics Drives a New CyberinfrastructureMicrobial Metagenomics Drives a New Cyberinfrastructure
Microbial Metagenomics Drives a New Cyberinfrastructure
Larry Smarr
 
Bioinformatics databases: Current Trends and Future Perspectives
Bioinformatics databases: Current Trends and Future PerspectivesBioinformatics databases: Current Trends and Future Perspectives
Bioinformatics databases: Current Trends and Future Perspectives
University of Malaya
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Web
ebiquity
 
Zfin
ZfinZfin
Big Data Field Museum
Big Data Field MuseumBig Data Field Museum
Big Data Field Museum
Adina Chuang Howe
 
Annotating The Biomedical Literature For The Human Variome
Annotating The Biomedical Literature For The Human VariomeAnnotating The Biomedical Literature For The Human Variome
Annotating The Biomedical Literature For The Human Variome
Shannon Green
 
Big data nebraska
Big data nebraskaBig data nebraska
Big data nebraska
Adina Chuang Howe
 

Similar to Using the Semantic Web to Support Ecoinformatics (20)

The emerging biodiversity data ecosystem
The emerging biodiversity data ecosystemThe emerging biodiversity data ecosystem
The emerging biodiversity data ecosystem
 
How the Encyclopedia of Life is wrangling organismal attribute data
How the Encyclopedia of Life is wrangling organismal attribute dataHow the Encyclopedia of Life is wrangling organismal attribute data
How the Encyclopedia of Life is wrangling organismal attribute data
 
Shorthouse
ShorthouseShorthouse
Shorthouse
 
PENSOFT ARTICLE COLLECTION ABOUT MYANMAR
PENSOFT ARTICLE COLLECTION ABOUT MYANMARPENSOFT ARTICLE COLLECTION ABOUT MYANMAR
PENSOFT ARTICLE COLLECTION ABOUT MYANMAR
 
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
iEvoBio Keynote: Frontiers of discovery with Encyclopedia of Life -- TRAITBANK
 
iEvoBio Keynote Talk 2010
iEvoBio Keynote Talk 2010iEvoBio Keynote Talk 2010
iEvoBio Keynote Talk 2010
 
RPG iEvoBio 2010 Keynote
RPG iEvoBio 2010 KeynoteRPG iEvoBio 2010 Keynote
RPG iEvoBio 2010 Keynote
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5
 
Big data nebraska
Big data nebraskaBig data nebraska
Big data nebraska
 
ABIcurator.doc
ABIcurator.docABIcurator.doc
ABIcurator.doc
 
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...
 
Biodiversity Informatics: An Interdisciplinary Challenge
Biodiversity Informatics: An Interdisciplinary ChallengeBiodiversity Informatics: An Interdisciplinary Challenge
Biodiversity Informatics: An Interdisciplinary Challenge
 
The Encyclopedia of Life: How realistic is it?
The Encyclopedia of Life: How realistic is it?The Encyclopedia of Life: How realistic is it?
The Encyclopedia of Life: How realistic is it?
 
Microbial Metagenomics Drives a New Cyberinfrastructure
Microbial Metagenomics Drives a New CyberinfrastructureMicrobial Metagenomics Drives a New Cyberinfrastructure
Microbial Metagenomics Drives a New Cyberinfrastructure
 
Bioinformatics databases: Current Trends and Future Perspectives
Bioinformatics databases: Current Trends and Future PerspectivesBioinformatics databases: Current Trends and Future Perspectives
Bioinformatics databases: Current Trends and Future Perspectives
 
Finding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic WebFinding knowledge, data and answers on the Semantic Web
Finding knowledge, data and answers on the Semantic Web
 
Zfin
ZfinZfin
Zfin
 
Big Data Field Museum
Big Data Field MuseumBig Data Field Museum
Big Data Field Museum
 
Annotating The Biomedical Literature For The Human Variome
Annotating The Biomedical Literature For The Human VariomeAnnotating The Biomedical Literature For The Human Variome
Annotating The Biomedical Literature For The Human Variome
 
Big data nebraska
Big data nebraskaBig data nebraska
Big data nebraska
 

Recently uploaded

HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
jpupo2018
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
Webinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data WarehouseWebinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data Warehouse
Federico Razzoli
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Jeffrey Haguewood
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation TechniquesWeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Postman
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 

Recently uploaded (20)

HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
Webinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data WarehouseWebinar: Designing a schema for a Data Warehouse
Webinar: Designing a schema for a Data Warehouse
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation TechniquesWeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 

Using the Semantic Web to Support Ecoinformatics

  • 1. Using the Semantic Web to Support Ecoinformatics Andriy Parafiynyk University of Maryland, Baltimore County http://ebiquity.umbc.edu/paper/html/id/319/Using-the-Semantic-Web-to-Support-Ecoinformatics Joint work with Tim Finin , Joel Sachs, Cynthia Sims Parr, Rong Pan, Lushan Han, Li Ding (UMBC), Allan Hollander (UCD), David Wang (UMCP)  This research was supported by NSF ITR 0326460 and matching funds received from USGS National Biological Information Infrastructure
  • 2.
  • 3.
  • 4.
  • 5. OLD NEW Green: data gathering; Pink: data integration and manipulation White: data analysis; Blue: results dissemination Collect data OR Find data tables in literature or data registry OR Email author of data Massage data manually Write up metadata record Register dataset with data registry Start over for next project Run analyses Publish paper Post supplemental data file on web Create local spreadsheet Build automatically updating dynamic dataset Develop intelligent query for semantic web data Download to local spreadsheet Run analyses Publish paper Reanalyze using latest dataset (Query and data already publicly available)
  • 6.
  • 7.
  • 8. East River Valley Trophic Web http://www.foodwebs.org/
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Search for ontologies which contain this terms 1
  • 20. 746 ontologies were found that had these two terms By default, ontologies are ordered by their ‘popularity’, but they can also be ordered by date or size.
  • 21. We can also search for any RDF documents containing these terms
  • 22. 5,378 documents were found that had these two terms
  • 23.
  • 24. What are body masses of fishes that eat fishes? . . . leaving out the FROM clause Swoogle Triple Shop
  • 26. RDF documents were found that might have useful data
  • 27. We’ll select them all and add them to the current dataset.
  • 28. We’ll run the query against this dataset to see if the results are as expected.
  • 29. The results can be produced in any of several formats
  • 31. Looks like a useful dataset. Let’s save it and also materialize it the TS triple store.
  • 32.