In the era of Smart Data and the explosion of data volume of all kind, organizations seek for leveraging such data - being it patent information, research literature social media data etc. - for competitive advantage and to help achieving their strategic aims. The process of search, filtering and categorization of large data sets go typically far beyond simple keyword search. Semantic technologies paired with machine learning approaches from artifical intelligence are a promising approach to support more fine-granular analysis of data.
The European Patent Office and Averbis recently went into collaboration for the pre-classification of incoming patent applications (use case 1) and re-classification of existing classification schemes (use case 2). In this cooperation, various services are provided with the aim of automatically assigning patent applications to the right departments and automatically allocating existing patents with new CPC codes. The solution is based on complex linguistic and semantic analyses, as well as statistically-based machine learning processes. Up to 250.000 incoming patents shall be classified per year and categorized in up to 1.500 categories. In this talk, we want to present both use cases together with some technical background about the applied language technologies.
The implementation of IT service catalogs at public organizations can be considered as an effective first step towards IT service management. Latter becomes more and more inevitable due to growing financial, business and security threats faced by public organizations. Traditional IT service catalog implementations are mostly based on common Content Management Systems. A small number of pubic organizations uses document-based catalogs or stick to Configuration Management Databases, which provide a rather technical type of service catalog. None of the implementation types met all of the valid requirements against an IT service catalog. That’s why the development and implementation of a semantic catalog was initiated. A vertical prototype is now implemented and tested and can be presented at the conference.
In most government and business organizations alike, statistical data provides the foundation for strategic planning and for the management of operations.
