Company Performance Metrics
- John A Michael: Commercial Director
Semantically analyse scientific text, e.g. journal articles, and link terms of scientific significance to scientific products and other relevant scientific information.
The semantic analysis can be done at source (XML/HTML), via browsers (HTML Bookmarklet) and in PDFs (via the scientific PDF reader Utopia Documents – UD). Links to products
are either displayed alongside the scientific text (at source or in UD), or presented in a new tab or window (browser bookmarklet). In UD and the browser bookmarklet also links to relevant non-commercial scientific information is given, in order to make the software (UD and bookmarklet) attractive for scientists to use, and to put the 'infotising' of scientific products in a scientific information context (as opposed to the purely commercial context of e.g. banner advertisements).
The results of semantic analyses of scientific content are also offered to suppliers of scientific products.
Currently the focus is on the life and medical sciences spectrum, but the underlying software – though not the semantic thesauri used, which differ per discipline – is generic in nature.
