WES Catalog

WES Catalog - Features

WES Catalog

WES Catalog contains a semantic metadata crosswalk for each of the metadata standards to be maintained within the portal infrastructure. The following are representative samples of metadata standards supported:

  • Department of Defense Metadata Standard (DDMS)
  • ISO 19115
  • North American Profile (NAP)
  • Federal Geographic Data Committee (FGDC)
  • Dublin Core
  • MARC 21
  • DIF

The WES Catalog component has the capability to store metadata about information, services and content. Metadata mappings are performed so that a crosswalk can be performed between the systems’ internal storage of metadata and the format the requesting client would like to see.

This metadata mapping technique enables users to publish data and metadata using an independent metadata publication form. Metadata storage and representation is an important component for service registries for the following reasons:

  • Scope - Most analysts agree that metadata can characterize virtually anything, not only automated information but physical objects, people, events, etc. Many standards focus on descriptive metadata, with particular emphasis on the metadata used in networked information discovery.
  • Diversity - There is great diversity in the kinds of metadata in use, and this diversity often reflects the distinct needs of different user communities. The tools are opposed to any loss of information or precision in existing metadata merely to accommodate a secondary use such as cross-domain searching.
  • Semantic Interoperability - It is often the case that the skills or expectations of a user are different than those anticipated by the provider of an information resource. For instance, a provider may offer searching across three kinds of resources: book citations, news articles, and e-mail messages. If the searcher expects to search by “title”, the book citations are obviously searchable, but the provider has to decide what characteristic is semantically equivalent to “title” for the other collections. In the news article collection, “headline” might be considered semantically equivalent to “title” while “subject” might be the semantic equivalent in the e-mail messages. Semantic interoperability is essential for coherent searching across diverse metadata.


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