spire semantic prototypes in ecoinformaics

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Spire Semantic Prototypes In Ecoinformaics UMBC CS UMD MIND SWAP UMBC GEST NASA GSFC RMBL Peace UC Davis ICE NBII Semantic Web Tools Agents Information Retrieval Education Science as a Process Invasive Species Forecasting System Remote Sensing Data Food Webs Semantic CAIN Ontology Development Dissemination Prototype applications infrastruct ure Ontology of Ecological Interaction

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Semantic Web Tools. UMD MIND SWAP. Semantic CAIN Ontology Development Dissemination. Spire Semantic Prototypes In Ecoinformaics. UMBC CS. infrastructure. UC Davis ICE. Agents Information Retrieval. Ontology of Ecological Interaction. NBII. Prototype applications. RMBL - PowerPoint PPT Presentation

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Page 1: Spire Semantic Prototypes In  Ecoinformaics

Spire Semantic Prototypes In

Ecoinformaics

UMBCCS

UMBCCS

UMD MIND SWAP

UMD MIND SWAP

UMBCGEST

UMBCGEST

NASAGSFC

NASAGSFC

RMBLPeace

RMBLPeace

UC DavisICE

UC DavisICE

NBIINBII

Semantic Web Tools

Agents

Information Retrieval

EducationScience as a Process Invasive Species Forecasting

System

Remote Sensing Data

Food Webs

Semantic CAINOntology DevelopmentDissemination

Prototype applications

infrastructure

Ontology of Ecological Interaction

Page 2: Spire Semantic Prototypes In  Ecoinformaics

Invasive Species

•Invasive species cost the U.S. economy over $138 billion per year [1].

•By various estimates, these species contribute to the decline of 35 to 46 percent of U.S. endangered and threatened species

•The invasive species problem is growing, as the number of pathways of invasion increases.

[1] Pimental et al. 2000 Environmental and economic costs associated with non-indigenous species in the United States. Bioscience 50:53-65.

[2] Charles Groat, Director U.S. Geological Survey, http://www.usgs.gov/invasive_species/plw/usgsdirector01.html

Page 3: Spire Semantic Prototypes In  Ecoinformaics

Bacteria

Microprotozoa

Amphithoe longimana

Caprella penantis

Cymadusa compta

Lembos rectangularis

Batea catharinensis

Ostracoda

Melanitta

Tadorna tadorna

ELVIS: Ecosystem Localization, Visualization, and Information System

Oreochromis niloticusNile tilapia

??

. . .

Species list constructor

Food web constructor

Page 4: Spire Semantic Prototypes In  Ecoinformaics

Food Web Constructor

Predict food web links using database and taxonomic reasoning.

In a new estuary, Nile Tilapia could compete with ostracods (green) to eat algae. Predators (red) and prey (blue) of ostracods may be affected

Page 5: Spire Semantic Prototypes In  Ecoinformaics

Food Web Constructor generates possible links

Page 6: Spire Semantic Prototypes In  Ecoinformaics

Evidence provider gives details

Page 7: Spire Semantic Prototypes In  Ecoinformaics

Caribbean Reef Food Web

Page 8: Spire Semantic Prototypes In  Ecoinformaics

ETHANEvolutionary Trees and Natural History ontology

Animal Diversity Webhttp://www.animaldiversity.org• geographic range• habitats• physical description • reproduction• lifespan• behavior and trophic info• conservation status

“Esox lucius” hasMaxMass “1.4 kg”

“Esox lucius” isSubclassOf “Esox”

“Esox” eats “Actinopterygii”

Triples

Page 9: Spire Semantic Prototypes In  Ecoinformaics

Swoogle: Motivation

• (Google + Web) has made us all smarter• something similar is needed by people and software agents for

finding information on the semantic web

Page 10: Spire Semantic Prototypes In  Ecoinformaics

. . . leaving out the FROM clause

What are body masses of fishes that eat fishes?

Swoogle Triple Shop

Page 11: Spire Semantic Prototypes In  Ecoinformaics

specify dataset

Page 12: Spire Semantic Prototypes In  Ecoinformaics

RDF documents were found that might have

useful data

Page 13: Spire Semantic Prototypes In  Ecoinformaics

We’ll select them all and add them to the

current dataset.

Page 14: Spire Semantic Prototypes In  Ecoinformaics

We’ll run the query against this dataset to see if the results are as expected.

We’ll run the query against this dataset to see if the results are as expected.

Page 15: Spire Semantic Prototypes In  Ecoinformaics

The results can be produced in any of several formats

The results can be produced in any of several formats

Page 16: Spire Semantic Prototypes In  Ecoinformaics

Results

http://sparql.cs.umbc.edu/tripleshop2/

Page 17: Spire Semantic Prototypes In  Ecoinformaics

Looks like a useful dataset. Let’s save it and also materialize it the TS triple store.

Looks like a useful dataset. Let’s save it and also materialize it the TS triple store.

Page 18: Spire Semantic Prototypes In  Ecoinformaics

The Glory of the Semantic Web

• Who eats the invasive plants of California?

• There will never be a final version of “the” ontology. How easy will it be to evolve?

• Our understanding of data changes as time goes by. Can the metadata change to reflect our new understanding of the data?

Page 19: Spire Semantic Prototypes In  Ecoinformaics

I Am Not An Anarchist

Page 20: Spire Semantic Prototypes In  Ecoinformaics

XMDR