The following attributes of the content characterization will be supplied by XMDR staff.
Attributes marked with an asterisk (*) are considered mandatory.
The title (name) of the metadata resource. Taken from Dublin Core Metadata Element Set, Version 1.1: Reference Description.
NASA Semantic Web for Earth and Environmental Terminology
The acronym (if any) of the title (name) of the metadata resource.
NASA SWEET
URL or URI for a web page which describes and/or provides access to the metadata resource.
http://sweet.jpl.nasa.gov/ontology/
Unique identifier for the metadata resource, e.g., URN, URI, URL, ISBN, ISSN, DOI, etc.
Name of contact person, mailing address, email address, phone number, etc. for this metadata resource.
Jet Propulsion Lab, 300-320
Pasadena, CA 91109
(818) 354-4228
raskin@jpl.nasa.gov
Why should we include this metadata content in the XMDR prototype? Which sponsoring organizations of XMDR are likely to be interested?
This provides access to several environmentally related ontologies. May also develop an interest in XMDR on the part of some staff at NASA. Mappings from other terminologies, including the Global Change Master Directory, are available which may add content applicable to one or more of the use cases. SWEET relies heavily on numerical values and problems with Protégé in this regard are noted. This may be another area in which this can be a valuable content testbed for the XMDR tools.
Indicate application domain(s) of the metadata content metadata resource. See below. Taken from Dublin Core Metadata Element Set, Version 1.1: Reference Description.
agricultural XX
environmental XX
biological, biomedical, medical or healthcare
chemical
demographic
defense or military science
economic
geographic information systems (GIS) (indicate 2D, 2.5D, 3D)
oceanographic XX
weather or climate XX
energy related
space sciences XX
administrative, including organizational and personal names
legal
general (e.g., Library of Congress subject headings)
other (not to be used in place of "general")
Indicate type(s) of metadata included in the data set: Cf. "type" attribute from the Dublin Core Metadata Element Set, Version 1.1: Reference Description.
data element characterization
definitions - natural language, logic-based
types
dimensionality / measurement units
Term Lists
Authority Files
Glossaries
Gazetteers
Dictionaries
code sets - e.g., country codes, CAS numbers, airport codes
Classification and Categorization
Subject Headings
Classification/Categorization Schemes and Taxonomies
Relationship Groups
Thesauri
Semantic Networks
partonomies (part-of relationships) - geographic, organizational, anatomic, manufactured, ...
Ontologies XX
schemas - e.g., for databases, messages, file formats, etc.
matchings, mappings - across terminologies, schemas, ...
How big is the data set: number of terms or concepts (nodes), number of relationships (edges), number of constraints, size in bytes (in various formats/compressions), size in bytes of internal representations?
Name of person who filled out this survey for this metadata resource in the initial phase. Also include email address.
Gail Hodge
gailhodge@aol.com
Date that the initial phase of the survey was completed or updated. Used ISO 8601 date format, i.e., yyyy-mm-dd.
2005-03-10
The following attributes of the content characterization will be completed by XMDR staff. These attributes will be collected for those content collections which are considered to be high priority for inclusion in the prototype.
Attributes marked with an asterisk (*) are considered mandatory.
Publication date of most recent version of the metadata resource in ISO 8601 Date Format: YYYY-MM-DD. Taken from Dublin Core Metadata Element Set, Version 1.1: Reference Description.
Ontologies revised and validated October 10, 2004
Organization or person(s) responsible for the creation (authoring) of the metadata resource. Taken from Dublin Core Metadata Element Set, Version 1.1: Reference Description.
Team led by Rob Raskin (raskin@seastar.jpl.nasa.gov)
Publisher*
Organization or person(s) responsible for publishing / distributing the metadata resource. Note that we do not differentiate here between publishers and distributors. Taken from Dublin Core Metadata Element Set, Version 1.1: Reference Description.
NASA Jet Propulsion Laboratory
Additional textual description of the metadata resource.
This project provides a common semantic framework for various Earth science initiatives. SWEET developed these capabilities in the context of finding and using Earth science data and information.
The ontologies within the Semantic Web for Earth and Environmental Terminology (SWEET) provide an upper-level ontology for Earth system science. The SWEET ontologies include several thousand terms, spanning a broad extent of Earth system science and related concepts (such as data characteristics) using the OWL language. The ontologies can be downloaded from http://sweet.jpl.nasa.gov/sweet. To support such a large collection and adhere to the guiding principles, the concepts are divided, where possible, into orthogonal dimensions or facets in support of reductionism. The primary ontologies are shown in Figure and explained below. Each box represents a separate ontology, and a connecting line indicates where major properties are used to define concepts across ontology spaces.
You can probably grab some words from the documentation
Language(s) of the content of the metadata resource. Is the metadata resource multi-lingual (e.g., thesauri)? Taken from the Dublin Core Metadata Element Set, Version 1.1: Reference Description.
English
Indicate type of metadata according to the following graph-theoretic classification scheme:
tree (e.g., Dewey Decimal Classification) - in a directed graph, every node, except the root (which has no parents), has exactly one parent node
faceted classification (e.g., LOINC, ... )
directed acyclic graph (DAG) (e.g., instance-of relations) - also known as a acyclic digraph
partial order (e.g., is-a, and part-of relations) Partial order = DAG + transitivity
lattice (temporal intervals, sets)
general simple directed graph (e.g., UMLS) - may contain cycles
nested graph - nodes may contain subgraphs, containment relation forms a tree, edges do not penetrate containers
directed hypergraph - edges connect sets of edges
compound graph - "meta-nodes" contain subgraphs, which may overlap, containment relation forms DAG, edges may penetrate containeres
My guess would be a faceted classification,
What file formats (ASN.1, XML, RDF, KIF, HDF5, netCDF, ... ) can the metadata resource be had in? What schemas are used (e.g., for XML, RDF, ...)
OWL
Is the metadata resource available for download? What are the principal / mirror download sites ? What media types (CDROM, DVD, ...) are available (if any)?
Available for download from the web site
Does the metadata resource include constraints? What kinds of constraints (keys, foreign keys, ....)? How are constraints specified (SQL, logic, RuleML, SWRL, Object Constraint Language, ...) ?
What protocols does the metadata publisher support for download, other access, e.g., FTP, HTTP, REST, SOAP, UDDI, LDAP, etc.
HTTP
Open source, public domain, academic use, proprietary license, .... License agreement required ? Cost of license? Can content be redistributed or posted to the web?
None
Restrictions on export / distribution ?
None
Is there some subset of the metadata resource which would be of interest? Can we request / extract / query this subset for the originating site or will we have to obtain the complete metadata resource content and then perform the subset extraction query processing on our system?
There are several subsets available.
Physical Phenomena (any transient feature)
What is the current version number of the metadata resource? How often is the metadata resource updated? How are updates named / distributed / propagated ?
What documentation is available? Where / how to obtain documentation ? Format of documentation ?
Guide to SWEET Ontologies by Rob Raskin is available at http://sweet.jpl.nasa.gov/index.html
Is the data set encoded in ASCII, Unicode (and if so what character encoding UTF-8, UTF-16, ...), or other?
UTF-8
What system of measurement units (e.g., SI, cgs, US customary, ... ) is used (if any)? How are they encoded ?
Separate ontology for Units. Defined using Unidata’s UDUnits. Separate section in the documentation about Units.
Indicate any dependencies of this metadata resource on other metadata resources or standards, e.g., country codes, terminologies, chemical or biological nomenclature standards, etc.
Other similar or related metadata resources.
Global Change Master Directory
A good list of metadata vocabularies is available from:
http://marinemetadata.org/vocabularies/refs
including another RDF/OWL implementation of the GCMD keywords
What software tools are available to parse, load, convert, browse, edit, .... this metadata resource (type)?
Protégé’?
Who is the primary intended audience for this data set? Expert researchers, DBAs, scientific users, agency staffers, librarians, statisticians, teachers, general public, college students, high school students, ...
The primary audience might have been scientific users, but could be educators and public.
How should the metadata resource be cited in publications, etc. ? Note that the preferred bibliographic citation is often a publication rather than the web site for a resource.
Probably use the Guide to SWEET Ontologies?
I am not sure if anything was published in the peer-reviewed literature.
Person who filled out this section of the survey for this metadata resource. Contact info also.
Date this survey was completed / updated for this metadata resource.
The following data elements are to be supplied by XMDR project staff/collaborators.
Attributes marked with an asterisk (*) are considered mandatory.
Names of persons (if any) on XMDR project (and contact info) who are familiar with this data set. XMDR participant organizations who have copies of this metadata resource.
Gail Hodge has contact with GCMD and those at JPL who have worked on this ontology
Names of persons on XMDR project (and contact info) who evaluated this metadata resource for inclusion (e.g., if the content survey was completed by someone at the content repository).
Gail Hodge
Priority suggested for acquisition and ingestion of this metadata resource.
Should be included since it constitutes an environmental rather than a health ontology. One or more can be selected. Suggest using Earth Realms and Biosphere. Time and Units may also be interesting.