Topic Maps are used for the main website structure.

Topic Maps! Making sense of it all' on www.ontopia.net.

The definitions of allowed types is known as the ontology of the topic map.

One or more interrelated documents employing this grammar is called a topic map."

Also topic map, including demographic, and cross topic one, as explorer routes over maps.

Topic Maps is a standard for the representation and interchange of knowledge, with an emphasis on the findability of information.

With this in mind, work has gone into defining a standardized syntax for querying topic maps:

(Somewhat like database constraints for topic maps).

When writing topic maps manually it is much more compact, but of course can be converted to XTM.

More information about such standards can be found at the ISO Topic Maps site.

The purpose of a scientific and scholarly field is, however, to examine the relative fruitfulness of systems such as topic maps and Colon classification.

Topic maps were originally developed in the late 1990s as a way to represent back-of-the-book index structures so that multiple indexes from different sources could be merged.

This is useful for writing short personal topic maps or exchanging partial topic maps by email.

Mappa - Topic Maps engine for Python (Open Source)

Like the definition of "subject" given by the ISO-standard for topic maps may Ranganathan's definition be useful within his own closed system.

Topic Maps explicitly support the concept of merging of identity between multiple topics or topic maps.

Adherence to the principles of the ISO Topic Maps standard protects the value of this knowledge, allowing it to be exploited and maintained under changing conditions.

Topic Maps - Topic Maps is in some ways, similar to RDF.

A format called linear topic map notation (LTM) serves as a kind of shorthand for writing topic maps in plain text editors.

It can also be desirable to define a set of constraints that can be used to guarantee or check the semantic validity of topic maps data for a particular domain.

Topic Maps are similar to concept maps and mind maps in many respects, though only Topic Maps are standardized.

The Topic Maps (ISO/IEC 13250) reference model and data model standards are defined in a way that is independent of any specific serialization or syntax.

Knowledge Organization Systems (or KOS) is a generic term used in Knowledge organization about authority lists, classification systems, thesauri, topic maps, ontologies etc.

Furthermore, because ontologies are topic maps themselves, they can also be merged thus allowing for the automated integration of information from diverse sources into a coherent new topic map.

CXTM - Canonical XML Topic Maps format (canonicalization of topic maps)