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Spire Semantic Prototypes In Ecoinformaics UMBC CS UMBC CS UMD MIND SWAP UMD MIND SWAP UMBC GEST UMBC GEST NASA GSFC NASA GSFC RMBL Peace RMBL Peace UC.

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Presentation on theme: "Spire Semantic Prototypes In Ecoinformaics UMBC CS UMBC CS UMD MIND SWAP UMD MIND SWAP UMBC GEST UMBC GEST NASA GSFC NASA GSFC RMBL Peace RMBL Peace UC."— Presentation transcript:

1 Spire Semantic Prototypes In Ecoinformaics UMBC CS UMBC CS UMD MIND SWAP UMD MIND SWAP UMBC GEST UMBC GEST NASA GSFC NASA GSFC RMBL Peace RMBL Peace UC Davis ICE 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 infrastructure Ontology of Ecological Interaction

2 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

3 Bacteria Microprotozoa Amphithoe longimana Caprella penantis Cymadusa compta Lembos rectangularis Batea catharinensis Ostracoda Melanitta Tadorna tadorna ELVIS: Ecosystem Localization, Visualization, and Information System Oreochromis niloticus Nile tilapia ? ?... Species list constructor Food web constructor

4 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

5 Food Web Constructor generates possible links

6 Evidence provider gives details

7 Caribbean Reef Food Web

8 ETHAN Evolutionary Trees and Natural History ontology Animal Diversity Web http://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

9 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

10 ... leaving out the FROM clause What are body masses of fishes that eat fishes? Swoogle Triple Shop

11 specify dataset

12 RDF documents were found that might have useful data

13 We’ll select them all and add them to the current dataset.

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

15 The results can be produced in any of several formats

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

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

18 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?

19 I Am Not An Anarchist

20 XMDR


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