Patent-based inventor profiles as a basis for human resource decisions in research and development

Profiles of inventors' technological competence are a valuable source of information for decision-making in research and development (R&D) management, e.g. concerning inventor assessment, human resource development and R&D team-building. In the following exposition, a new method of inventor profiling will be put forward, which is based in particular on semantic patent analysis and multidimensional scaling. First, in the course of semantic patent analysis, specialized software, equipped with a natural language processor, reads the patent text transferring the contents into a subject–action–object–format (SAO). The extracted SAO structures are then used to create similarity matrices for patents or patent sets, respectively, according to a specific similarity value. Subsequently, an inventor competence map can be produced by means of multidimensional scaling.
The benefits of this method for R&D-related issues in human resource management will be illustrated by the example of a German mechanical engineering company. Two distinct types of profiles were generated and tested: (i) the profile of a single key inventor and (ii) a profile of key inventor sets. The single key inventor profile gives information on the range of competence, i.e. the homogeneity or heterogeneity of a certain inventor's competences, providing far more detailed insights than resorting to bibliographic data like international patent classification (IPC) classes or citations, whereas the latter kind of profile establishes the position of a certain key inventor in relation to others, helping to highlight specific groups of inventors and their domains. These results are clearly apt to support human resource management.     

Evaluating the risk of patent infringement by means of semantic patent analysis: the case of DNA chips

In this paper, we are going to present a method for detecting the risks of patent infringement by evaluating similarities between patent documents on the basis of semantic patent analysis. This approach enables the user to visualize similarities in the contents on a semantic patent map by means of multi‐dimensional scaling. The effectiveness of the semantic patent map has already been demonstrated by Dressler (2006) with regard to patents of seal technology, in which documents are commonly kept short and the extracted contents are concise. This paper will open out to the field of biotechnology, where patents can easily comprise several hundreds of pages. The method presented here conveys an interdisciplinary approach and combines computer‐aided natural language processing with domain‐specific expertise of biochemical processes. This is illustrated by an authentic case of infringement involving two manufacturers of DNA chips. Our experiment will show how the infringement case is visualized on a patent map based on semantic patent analysis. This experiment can be compared with the search for a needle in a haystack, the two competitive patents representing significantly conflicting ‘needles.’ From an approximate number of 4,000 patents in the current US Class 435/6, a set of patents was selected that included the ‘needles’ mentioned. This paper will point out how such mutual interference can be detected by way of semantic patent analysis, and what advice may be given to R&D managers who are faced with the risk of patent infringement.     

The surplus prior to ruin and the deficit at ruin for a correlated risk process

This paper presents an explicit characterization for the joint probability density function of the surplus immediately prior to ruin and the deficit at ruin for a general risk process, which includes the Sparre-Andersen risk model with phase-type inter-claim times and claim sizes. The model can also accommodate a Markovian arrival process which enables claim sizes to be correlated with the inter-claim times. The marginal density function of the surplus immediately prior to ruin is specifically considered. Several numerical examples are presented to illustrate the application of this result.     

UK and German defence industry change: Some perspectives on strategic marketing

Over the past decade, the European defence industry has had to respond to increasing pressures of reduced defence spending, exacerbated more recently by removal of the immediate military threat from the former Soviet Union. Under the “Options for Change “, the UK has abandoned certain weapons programmes, while Germany has had the additional economic and social problems brought on by re‐unification. The industry's options comprise conversion, diversification or specialization, thus continuing to face structure change and competition from defence imports and “off‐the‐shelf” systems and equipment. Given the high exit barriers and past “cushioning” of the industry by governments, the presence of skills and know‐how to compete effectively is questionable. The case for strategic marketing approach for those suppliers remaining is clear; as buyer (monopsonistic) power strengthens, the threat of new entrants increases and the associated competitive rivalry intensifies. However, the ingrained “defence culture “ in many supplier organizations may be an impediment to change.     

A legally binding EU charter of fundamental rights?

The Charter of Fundamental Rights of the European Union is based, on the one hand, on the traditional concept that fundamental rights are a means to protect citizens against unjustified interference by public authorities. On the other hand, by contrast to the general defensive approach of negative rights, and more controversially, some chapters guarantee quite extensive positive rights to protection and entitlements, based on equality and solidarity. The following article offers an economic analysis of the efficiency and legitimacy of the Charter, including the question of whether it should be binding at a supranational level. This paper was written while the author was DAAD Senior Fellow and Director of Economic Research at the Institute for German Studies, University of Birmingham, UK.     

Kommentar zu Padbergs Beitrag

Ohne ZusammenfassungLothar F. Neumann ist Professor für Sozialpolitik und Sozialökonomik an der Universität Bochum, D-4630 Bochum, Buscheystraße 132.