A knowledge data base or knowledge base is a specific data base for knowledge management. It needs carefully structured classification, formatted content and user-friendly search functionality. How can a company benefit from this? This is why every company should have a knowledge base by 2020:
In the years ahead, many companies will be faced with great challenges due to demographic changes. Retaining knowledge will become extremely important. The Kremser Knowledge Management Days 2016 focused on *knowledge organization* and published a summary of articles. We also provided our know-how, click here to download the abstract.
Named Entity Recognition (NER) and Named Entity Linking (NEL) are two research areas that have shown big advancements in recent years. Since the majority of this research is based on the English language, some of these improvements are language-dependent and do not necessarily lead to better results when applied to other languages. This paper therefore discusses TOMO, a software used for language-aware named entity detection, and evaluates it for the German language.
To secure the knowledge of employees who leave the company for various reasons is a major challenge for companies. This guide presents several organizational and technical methods that support this process. By Knowledge transfer and documentation, loss of knowledge in the company is counteracted.
Before the knowledge transfer is carried out, the form of the documentation must be considered. Supporting IT systems can be used here. For example, wikis are suitable for documenting implicit knowledge and document management systems are suitable for explicit knowledge. In this case, Tomo can provide perfectly. Details here.
