Methods of Semantic Clarification (from Pennington, Databits, Spring 2006) DefinitionSynonymsClassification “is a” Propertiesother Keywords DictionaryX.

Slides:



Advertisements
Similar presentations
1 Understanding User Roles Understanding User Roles ( in ontologizing the Ontolog body of knowledge) Lisa Dawn Colvin April 20, 2006.
Advertisements

1 Samples are stored in a cold room at optimal storage temperature and humidity.
Querying Integrated Observation and Measurement data SONet June 8,
Semantic annotation on the SONet and Semtools projects: Challenges for broad multidisciplinary exchange of observational data Mark Schildhauer, NCEAS/UCSB.
 Chris Mavergames, Head of Informatics & Knowledge Management Cochrane Informatics & Knowledge Management Department #CochraneTech Symposium 2014, Hyderabad,
Dan Bunker TraitNet RCN: Foster the curation, discovery, and sharing of ecological trait data.
ODM2: Developing a Community Information Model and Supporting Software to Extend Interoperability of Sensor and Sample Based Earth Observations Jeffery.
Research topics Semantic Web - Spring 2007 Computer Engineering Department Sharif University of Technology.
Two-Level Semantic Annotation Model BYU Spring Conference 2007 Yihong Ding Sponsored by NSF.
P2P Information Interoperability & Decision Support Domain Application SEMANTIC INTEROP QUERY PROCESSING GIS INTEROP P2P ● Heterogeneous semantic ● Semantic.
MBARI Observations Plus Moorings Ship surveys Drifters AUV runs The hidden data – ROV CTD ROMS ecosystem modeling-Fei Chai End with a gee whiz animation-Mike.
ÆKOS: A new paradigm for discovery and access to complex ecological data David Turner, Paul Chinnick, Andrew Graham, Matt Schneider, Craig Walker Logos.
Long-Term Ecological Research working_groups/controlled_vocabulary Working Group: “Synthesis through data.
Ontology Semantic Mediation in the Big Picture MMI Workshop - August 2005.
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
Predicting Missing Provenance Using Semantic Associations in Reservoir Engineering Jing Zhao University of Southern California Sep 19 th,
Semantic Interoperability Jérôme Euzenat INRIA & LIG France Natasha Noy Stanford University USA.
SONet: Scientific Observations Network Semtools: Semantic Enhancements for Ecological Data Management Mark Schildhauer, Matt Jones, Shawn Bowers, Huiping.
1 Research Methodology Model. 2 Hypothesis a prediction of what is the case (fact) based on theory Conclusions Observation (s): Phenomena; Problem (Tree)
Knb.ecoinformatics.org LTER EML Best Practices Data Discovery in the Biological Sciences 7-9 February 2005 Mark Servilla LTER Network Office University.
Opportunities for earth science data interoperability through coordinated semantic development, using a shared model for observations and measurements.
Semantic Mediation in SEEK/Kepler: Exploiting Semantic Annotation for Discovery, Analysis, and Integration of Scientific Data and Workflows Bertram Ludäscher.
Controlled Vocabulary Working Group Virtual Water Cooler Session April 6-7, 2009 Moderator: John Porter rm.action?confKey=jhp7e.
GIS and GPS Applications in Support of Global Learning and Observations to Benefit the Environment (GLOBE) Program Implementation in Middle Tennessee David.
Growing challenges for biodiversity informatics Utility of observational data models Multiple communities within the earth and biological sciences are.
VIKEF – Take the VIKEF train towards smart services …
Subgroup 1 Collect interoperability requirements Define common, unified data model Engage tool & data providers, data consumers Subgroup 2 Identify and.
SEMANTIC WEB FOR A HOSPITAL
Core 2: Bioinformatics NCBO-Berkeley. Core 2 Specific Aims 1.Apply ontologies  Software toolkit for describing and classifying data 2.Capture, manage,
Annotation and Image Markup : Take AIM at Images! David S. Channin M.D. Associate Professor of Radiology Chief, Imaging Informatics Northwestern University.
Controlled Vocabulary Giri Palanisamy Eda C. Melendez-Colom Corinna Gries Duane Costa John Porter.
WSDL – Web Service Definition Language  WSDL is used to describe, locate and define Web services.  A web service is described by: message format simple.
Hydrography Dataset Events InterMountain GIS 2014 NHD Workshop April 7, 2014.
LTER Science 2050: Challenges, Constraints and Opportunities Bill Michener Professor and DataONE Project Director University of New Mexico 12 September.
SEEK Science Environment for Ecological Knowledge l EcoGrid l Ecological, biodiversity and environmental data l Computational access l Standardized, open.
SALT-WEDGE INTRUSION OF SEAWATER AND ITS IMPLICATIONS FOR PHYTOPLANKTON DYNAMICS IN THE YURA ESTUARY, JAPAN Kasai et al., (2010). Estuarine, Coastal, &
What is the System-Wide Monitoring Program (SWMP) and What Can It Do For You?
Ontology domain & modeling extensions. Modeling enhancements: overview Enhancements: – Increased expressivity in ontology – Increased expressivity in.
Trait ontology approach Marie-Angélique LAPORTE NCEAS June 7 th 2010.
KAnOE: Research Centre for Knowledge Analytics and Ontological Engineering Managing Semantic Data NACLIN-2014, 10 Dec 2014 Dr. Kavi Mahesh Dean of Research,
Controls of sub-surface dissolved oxygen in Massachusetts Bay, USA Amanda Hyde (Maine Maritime Academy), Doug Vandemark (University of New Hampshire),
Context Observation Measurement Relationship Entity Characteristic Value Standard hasContextRelationship ofEntity hasValue ofCharacteristic usesStandard.
Analysis of Use Cases (and to some extent, standards) - Keith G Jeffery, Rebecca Koskela.
Human-Aware Sensor Network Ontology (HASNetO): Semantic Support for Empirical Data Collection Paulo Pinheiro 1, Deborah McGuinness 1, Henrique Santos 1,2.
OBOE v.s. OGC O&M SONet June 8,2010. OBOE Entity Context Characteristic Measurement Observation Standard hasCharacteristic hasMeasurement ofEntity hasContext.
Towntology Software Tool: A tool for the development of urban planning ontologies Context Architecture Principles Knowledge model Demo Perspectives.
Data and Metadata Archiving: Atlantic Coast Environmental INdicators Consortium (ACE INC) Lexia M. Valdes June 11, 2003 R
The Twitter Ontology Travis Allen for video of this presentation see: ontology.mp4.
©2003 Paula Matuszek CSC 9010: AeroText, Ontologies, AeroDAML Dr. Paula Matuszek (610)
Introduction to Data Management Arllet M. Portugal Integrated Breeding Platform Breeding Management System Intensive Workshop on Data Management Jan. 26,
Harmonizing Measurements for Marine Biodiversity Observation Networks
CEFAS DATA HUB.
Improving Data Discovery Through Semantic Search
Semantic Support for Complex Ecosystem Research Environments
Wheat Data Interoperability Esther DZALE YEUMO KABORE Richard FULSS
Controlled Vocabularies: What, Why, How?
Ontology based Collection Discovery
مراجعة عامة.
Chapter 2 Matter and Change 2.1 Properties of Matter 2.2 Mixtures
Chemical Reaction Demo
OBI – Standard Semantic
RDF Standard Data Model Exchange
Existing Designs and Prototypes at RPI
Social Research Methodology and Supplementary Documentation John Kallas University of the Aegean, Department of Sociology.
Annotation Examples (12/18/2009)
Ecoinformatics: supporting ecology as a data-intensive science
C.2.10 Sample Questions.
C.2.8 Sample Questions.
C.2.8 Sample Questions.
Similarities Differences
Presentation transcript:

Methods of Semantic Clarification (from Pennington, Databits, Spring 2006) DefinitionSynonymsClassification “is a” Propertiesother Keywords DictionaryX Controlled Vocabulary (X) ThesaurusXX Taxonomy(X)XX X OntologyXXXXX

Uses (from Pennington, Databits, Spring 2006) DiscoveryIntegrationWorking Analysis KeywordsX DictionaryX Controlled VocabularyX ThesaurusXX TaxonomyXX OntologyXXX

OBOE Discovery Data Integration SEEK Project (200x) Extensible Ontology for OBservations Semtools: Tools for Semantic Annotation Semtools: Tools for Semantic Annotation

Demo in Protégé Entity, similar trees to CV “polytaxonomy” SBC extensions for – Entities – Measurements – Protocols

Observations and Context obsEntityMeasurement [characteristic, standard, protocol]Has context 1 Nitrate1. [amtSubstConc, microMolesPerLiter, my_protocol]obs4 2Ammonium1. [amtSubstConc, microMolesPerLiter, my_protocol]obs4 3Chlorophyll1. [amtSubstConc, microMolesPerLiter, my_protocol]obs4 4Sample1. [SampleId, rosette_bottle, SBC_naming_protocol]obs5 5Water1. [temperature, celsius, my_CTD_protocol] 2. [conductivity, milliseimensPerCm, my_CTD_protocol] 3. [salinity, PSU, my_CTD_protocol] obs6 6temporalPoint1. [dateTime, gregorianCalendar, __ ]obs7 7Station1. [Name, SBC_site_list, SBC_site_protocol] Dataset = knb-lter-sbc.10, entity = monthly_bottledata: