home > library > publications > (xml) topic maps

close subject identifiers for (XML) Topic Maps
  • /publications/xml_topic_maps_technical_report

(XML) Topic Maps

Technical Report, was published by Robin Cover at 2008-08-15

This report gives an overview on Topic Maps with a variety of relevant publications.

External Link: more information

A topic map is a kind of index or information overlay which can be constructed separate from a set of resources, identifying instances of subjects and relationships within the set of resources. According to the XML Topic Maps (XTM) 1.0 TopicMaps.Org Specification, “The purpose of a topic map is to convey knowledge about resources through a superimposed layer, or map, of the resources. A topic map captures the subjects of which resources speak, and the relationships between subjects, in a way that is implementation-independent. The key concepts in topic maps are topics, associations, and occurrences. A topic is a resource within the computer that stands in for (or ‘reifies’) some real-world subject. Examples of such subjects might be the play Hamlet, the playwright William Shakespeare, or the ‘authorship’ relationship. Topics can have names. They can also have occurrences, that is, information resources that are considered to be relevant in some way to their subject. Finally, topics can participate in relationships, called associations, in which they play roles as members. Thus, topics have three kinds of characteristics: names, occurrences, and roles played as members of associations. The assignment of such characteristics is considered to be valid within a certain scope, or context. Topic maps can be merged. Merging can take place at the discretion of the user or application (at runtime), or may be indicated by the topic map’s author at the time of its creation.”

Authors

This publication cites the following publications

This publication is cited in the following publication

 

Nowadays Topic Maps appears to be very suitable for being applied in Libraries, Archives and Museums. It provides a suitable model and mechanisms for depth indexing, classification and the implementation of FRBR, CIDOC-CRM or other conceptualizations.

Liliana_melgar
Liliana Melgar
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab