Topic Maps are means for representing sophisticated, conceptual indexes of any information collection for the purpose of semantic information integration. To properly fulfil this purpose, the generation of Topic Maps has to base on a solid theory. This paper proposes the Observation Principle as the theoretical fundament of a future scientific discipline Topic Maps Engineering. SemanticTalk gen...

Automatic acquisition of inference rules for predicates has been commonly addressed by computing distributional similarity between vectors of argument words, operating at the word space level. A recent line of work, which addresses context sensitivity of rules, represented contexts in a latent topic space and computed similarity over topic vectors. We propose a novel two-level model, which comp...

This paper describes TM/XML, an XML syntax for Topic Maps that is very close to the natural, or colloquial, XML representation of the information in the topic map. It can be used to process Topic Maps data with XML tools, and integrate non-Topic Maps systems with Topic

Scientific research is highly dynamic. New areas of science continually evolve; others gain or lose importance, merge, or split. Due to the steady increase in the number of scientific publications, it is hard to keep an overview of the structure and dynamic development of one's own field of science, much less all scientific domains. However, knowledge of "hot" topics, emergent research frontier...

A teacher must consider many details when planning and organizing a course. This paper shows how the new Topic Map computer technology can help in this process. The developed Topic Map for the CS knowledge domain is used for the analysis of introductory CS courses, but it can be also applied to other courses, including in noncomputer disciplines. Well-structured Topic Maps may become a solid ba...

As Topic Maps allow a structural representation of knowledge, this structure often needs to be visually presented to end-users. Issues, often contradictory, such as representation and navigation re-

In this contribution, we address exploratory search where a user is faced with an information need concerning a domain he lacks specific knowledge. Based on the work of Delbru et al., which introduced metrics to measure the navigational quality of automatically selected facets for RDF data, we apply those findings to the semantically richer TMDM and show how exploratory search functionality can...