ToolMatch Implementation Party

Toolmatch party

Overview

Finding tools for data

• finding out which tools work for a given data set
• customer service survey says that we should provide more tools for data
• simply not a central place/distributed place you can go

Supposed to be a very simple tool with a simple purpose: “show me which tools work with this type of data”

• we know there’s a need out there
• low learning curve anyone should be able to participate at anytime
• will never be done, there are always new datasets/new data/new

Turtle: a language for describing relationships

• basic form is the triple
• subject predicate object
• analogous to English

Turtle syntax:

Panoply            isCompatibleWith                         AIRS_Standard_Retrievals .

                        drawsMapsOf

Subject            predicate                                    object

Add additional statements to show what’s what

- is-an-entity-of-type

Identify a data collection:

• want to be really specific, official identifiers, we use a URI or IRI
• or DOI
• or other identifiers, as long as their official

Identify tools

• tools not as mature as the dataset stuff

Carving out your own namespace

• we have URL on wiki which will be base for namespace

Be more expressive:

isCompatibleWith

• visualizes-maps
• reformats

Dydra:

• this is where the triples are stored

Questions:

Versioning:

• we can do it on iterative project

Advanced Issues:

• bunch of more advanced issues such as homonyms, etc, that will be filled in with technology experts

Will people solve differently placed instances?

• yes, technology experts will help

Camel Case

• two types of Camel Case,
• questions of the

Additional notes and observations:

This session focused on the work being done to create a tool that helps you figure out what type of system to use with different data sets.  It uses Turtle, a language system for describing relationships.  Turtle is a standard format for ingesting into off the shelf databases called triple stores. (Triple – Subject predicate object).  There was also a discussion about Camel case.  Camel case – significant words are capitalized instead of using underscores.  It is a convention, syntaxes convention.

During this workshop, we used Panoply to find data sets, then created triples in Turtle based on the relationships shown.  Panoply is a great tool for working with netcdf or other grid data and a good place to start with.

More information about the tool and the agenda for the session:

http://wiki.esipfed.org/index.php/ToolMatch_Talkoot

Examples of triples created by the groups:

http://twc.titanpad.com/392

http://twc.titanpad.com/393

http://twc.titanpad.com/394