1. Semantic Support for Complex Ecosystem Research Environments
Deborah McGuinness1, Paulo Pinheiro1, Henrique Santos1,2, Matthew Klawonn1, Katherine Chastain1
1Rensselaer Polytechnic Institute, USA
2Universidade de Fortaleza, Brazil
AGU, December 2015 1

2. Outline Problem Statement Foundational Technologies
Long standing semantic tools
Custom solutions
Recent Developments
Conclusions
Future Directions 2 2

3. Problem Statement In large projects, how should data be:
Integrated with other relevant data and metadata?
Interpreted?
And also
Accessed, shared, and visualized?
Examples of data types in projects we work on:
Environmental monitoring
Architecture science and ecology 3 3

4. Foundational Technologies
Ontologies: For capturing context
PROV-O
OBOE
VSTO
HASNetO
Apache SOLR: For storage and retrieval
Contextualized CSVs: For data annotation
D3 Javascript: For metadata visualization 4 4

5. The Human-Aware Sensor Network Ontology
wasAssociatedWith
prov:
Agent
startedAtTime
prov:
Activity
xsd:dateTime
vstoi:
Platform 1
endedAtTime
xsd:dateTime *
hasData
Collection *
vstoi:
Instrument 1
vstoi:
Deployment
hasneto:
DataCollection * * 1
hasneto:
hasMeasurement 1 * *
hasneto:
Sensing
Perspective *
vstoi:
Detector
oboe:
Measurement
perspectiveOf * *
hasPerspective
Characteristic
of-characteristic * 1 1
vstoi:
Attached
Detector
vstoi:
Detachable
Detector *
0..1
oboe:
Characteristic
oboe:
Entity

6. HADatAc Human Aware Data Acquisition Framework
A web application based on Apache SOLR, the Play Framework
Goal: To provide a one-stop-shop for combined data and metadata management, markup, integration, retrieval, and visualization
Uses ontologies combined with limited human markup to achieve this goal
Can be deployed on a laptop or server, depending on a user's needs 6 6

7. Combining Data and Metadata
Measurement metadata
Mouse over
Metadata based faceted search
Mouse over
Metadata about the metadata 7

8. Data Privacy
In addition to nice visualization, integration, and retrieval features, HADatAc has sophisticated privacy mechanisms
Data has various levels of access open to anonymous and pre-registered users. 8 8

9. Data Privacy cont. 9 9

10. Ease of Use Work with csv files
== START-PREAMBLE ==
@base < . .
@prefix hasneto: < .
@prefix hadatac: < .
<example-kb> a hadatac:KnowledgeBase; hadatac:hasHost " .
<dataCollection-example01> a hasneto:DataCollection; prov:startedAtTime " T09:30:00Z"^^xsd:dateTime .
<deployment-example01> hasneto:hasDataCollection <dataCollection-example01> .
<example01-dataset01> a vstoi:Dataset; prov:wasGeneratedBy <dataCollection- example01>; hadatac:hasMeasurementType <mt0>,<mt1> .
<mt0> a hadatac:MeasurementType; time:inDateTime <ts0>; hadatac:atColumn 3; oboe:ofCharacteristic hadatac-entities:EC-WindDirection; oboe:usesStandard oboe- standards:Degree .
<mt1> a hadatac:MeasurementType; time:inDateTime <ts0>; hadatac:atColumn 2; oboe:ofCharacteristic hadatac-entities:EC-WindSpeed; oboe:usesStandard oboe- standards:MeterPerSecond .
<ts0> hadatac:atColumn 0 .
== END-PREAMBLE ==
TimeStamp,Record,WindSpdAve_ms,WindDir,WindSpd_ms_Min,WindSpdGust_ms_ Max,AirTemp_C_Avg,RH_Pct_Avg,BaroPress_hPa_Avg,Rain_mm_Tot,Hail_Hits_Tot
T09:30:00Z,0,0.99,217.9,0.3,1.7,-4.5,66.58,995,0,0
T09:45:00Z,1,1.112,227.8,0.1,2.1,-4.372,66.45,995,0,0
T10:00:00Z,2,1.169,222.2,0.3,2.6,-4.146,65.98,995,0,0
Work with csv files
Automate data transfer across the web, including large amounts of data
Retrieval (e.g faceted search), and visualization tools are automatically usable with uploaded data. 10 10

11. Conclusions
Various ontologies were presented with the intent to show how they capture context in big data projects
HADatAc was introduced, along with some of its key functionalities.
HADatAc is a cross-platform web service which integrates annotated data sets with other relevant data and metadata, and surrounds them with retrieval (faceted search) and visualization tools as well as privacy controls. 11 11

12. Future Steps
Refine HASNetO vocabulary and test it over a constantly growing HASNetO- based knowledge base.
Continue to add functionality to HADatAc
More visualization tools
Enhanced search capabilities
Looking to integrate with lab information management systems (potentially use with science other than medicine) 12 12

13. More Information
Contact Information
Deborah McGuinness:
Paulo Pinheiro:
Matt Klawonn: 13 13