In this page we present some projects at DFKI, in which Automatic Hyperlinking was developed or has been applied (see the "applications" menu point in the left frame). Within the further development of this strategy we focus on information and knowledge management applications, and we are looking for a substantial contribution to the Semantic Web. Important in this context is the exploration of different strategies for the visualisation of complex information structures.

Automatic Hyperlinking is performed by computer programs that insert independently references into hyperdocuments. Hyperdocuments are documents, which are usually read and visualized with the help of a browser, whereby navigating in larger documents (also in the Web) is supported by the links contained in the document.

A computer program, which is able to automatically add to a document links/references, is so fast, compared to the manual hyperlinking, that one can afford an essentially higher processing volume (larger data amount and/or higher reference density) and a higher technical complexity (structured links bundles instead of single references).

It has already been detected, that language technologies can play a substantial role in the automation of hyperlinking, since they can help in reaching a better quality and a high consistency of the hyperlinking procedure.

This approach is particularly investigated and developed at the DFKI: Language technology can contribute with the help of well-know statistic and rule-based procedures to the automatic recognition of the application-relevant terms and expressions in the documents. Language technology is characterised by robustness in relation with variations at morphologic and syntactic level. This ensures an increased consistency of the automatic hyperlinking procedure, since all possible variants of a term to be linked can be recognized and associated with the corresponding references. Language technology, including semantic analysis, can for example treat on an equal basis synonyms, whereby thesaurus entries, with their conceptual relations, can enrich the documents (vvia links). And finally language technology can detect certain syntactic functions (subject, object etc..) in sentences and those can play a role for establishing preferences and compactness of hyperlinking.

The automation concerns not only the recognition in the text of application-relevant expressions, but also the adding of the relevant program codes (HTML and Javascript) into the text, which are responsible for the visualization of the link structure. This contributes also substantially to the consistency of the linking, as is ensured that all equivalent expressions receives a uniform hyperlinking and presentation.