Capstone Projects: The Who, What, When, Where and How

A capstone project is a multifaceted assignment that serves as a culminating academic and intellectual experience for students, typically during their final year of high school or middle school, or at the end of an academic program or learning-pathway experience. This breakout session will cover the Who, What, When, Where and How's associated with the Capstone experience focusing on case studies representing previous, highly successful projects as well as ongoing projects. Attendees will leave with knowledge of how to utilize the Capstone experience to accelerate software development cycles, advance innovation and turn your hand to active mentorship all on a shoe-string budget

Insight into Open Source Semantic Technologies at The Apache Software Foundation

This workshop will introduce people to two key open source semantic technologies (Apache CommonsRDF and Apache Any23) developed and maintained at the Apache Software Foundation; a software foundation fostering software development upon which billions of users depend on free, community-driven software.<br> <br> This workshop will cover both<br> • Apache Commons RDF; Commons RDF aims to provide a common library for RDF 1.1 that could be implemented by systems on the Java Virtual Machine. https://commons.apache.org/proper/commons-rdf/, and<br> • Apache Any23; a library, a web service and a command line tool that extracts structured data in RDF format from a variety of Web documents. https://any23.apache.org/<br> <br> This workshop will furnish attendees with everything required to generate Earth Science data in RDF and then use that data in a wide variety of applications and scenarios.<br> The session will begin by introducing how to generate RDF data with CommonsRDF including Introduction, API’s, implementations and then a worked example/code examples for generating Earth Sciences RDF data.<br> The second half of the session will show how RDF data can be embedded in Webpages, e.g. Dataset Landing Pages, and then interpreted using the Any23<br> Library. This will cover an Any23 Introduction, API’s and then a worked example/code examples for working with RDF data.<br> <br> All of the examples and code will be available on the ESIP Github area at https://github.com/ESIPFed/apache-semtech<br

McGibbneyL_sweet_20180110.pdf

Version 3.0.0 of the Semantic Web for Earth and Environmental Terminology (SWEET) Ontology suite was recently released under new community management and governance by ESIP’s Semantic Technologies Committee. SWEET is a highly modular ontology suite with ~6000 concepts in ~200 separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. SWEET’s own domain-specific ontologies, which extend the upper level ontologies, can provide users interested in further developing a particular domain with a solid set of concepts to get started. SWEET ontologies are written in W3C Turtle; the Terse RDF Triple Language and are publicly available under the Apache License v2.0. This presentation will provide a three-pronged update on (i) advances in SWEET since its transition from NASA JPL over to the open source, community-driven management and governance structure now overseen by the ESIP Semantic Technologies Committee, (ii) ongoing alignment activities with existing semantic technology resources such as the OBO Foundry collection, W3C SOSA/SSN, W3C PROV-O, etc., and (iii) uses of SWEET across old, new and unexpected domains including architecture, engineering and construction, provenance of science data product generation, search and information retrieval query expansion, article and text tagging, and a whole host more. This session aims to attract both new comers and experienced Geospatial and Spatiotemporal Ontology and Semantics enthusiasts. Attendees will leave with a significantly improved understanding of what SWEET currently is, what it hopes to become, and how one can use it for a wide variety of scenarios

Insight into Open Source Semantic Technlogies at The Apache Software Foundation

This workshop will introduce people to two key open source semantic technologies (Apache CommonsRDF and Apache Any23) developed and maintained at the Apache Software Foundation; a software foundation fostering software development upon which billions of users depend on free, community-driven software.<br> <br> This workshop will cover both<br> • Apache Commons RDF; Commons RDF aims to provide a common library for RDF 1.1 that could be implemented by systems on the Java Virtual Machine. https://commons.apache.org/proper/commons-rdf/, and<br> • Apache Any23; a library, a web service and a command line tool that extracts structured data in RDF format from a variety of Web documents. https://any23.apache.org/<br> <br> This workshop will furnish attendees with everything required to generate Earth Science data in RDF and then use that data in a wide variety of applications and scenarios.<br> The session will begin by introducing how to generate RDF data with CommonsRDF including Introduction, API’s, implementations and then a worked example/code examples for generating Earth Sciences RDF data.<br> The second half of the session will show how RDF data can be embedded in Webpages, e.g. Dataset Landing Pages, and then interpreted using the Any23<br> Library. This will cover an Any23 Introduction, API’s and then a worked example/code examples for working with RDF data.<br> <br> All of the examples and code will be available on the ESIP Github area

Extending use of the Open-data CovJSON-LD Format for Improved Interpretation of Coverage Data at NASA JPL’s PO.DAAC

CoverageJSON (or “CovJSON” for short) is a JSON-based format and specification for encoding coverage data. It is primarily intended to be used as a means to convey data from servers to web browsers, so that web developers can develop rich, highly interactive applications based on coverage data. This presentation will update and extend our previous work (presented at AGU Fall Meeting 2016) entitled "An Innovative Open Data-driven Approach for Improved Interpretation of Coverage Data at NASA JPL’s PO.DAAC" by displaying how we use URIs to encode semantic information and context through linked data mechanisms such as JSON-LD e.g. CovJSON-LD. This presentation will be of significant appeal to both semantic technologies and visualization enthusiasts