LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
The paper “Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management” co-written by R. Witte, T. Kappler, R. Krestel, and P. C. Lockemann has been published in Caroline Sporleder, Antal Bosch, and Kalliopi Zervanou, editors, Language Technology for Cultural Heritage. Springer Book Chapter, ISBN 978-3-642-20227-8. 2011.
Modern documents can easily be structured and augmented to have the characteristics of a semantic knowledge base. Many older documents may also hold a trove of knowledge that would deserve to be organized as such a knowledge base. In this chapter, we show that modern semantic technologies offer the means to make these heritage documents accessible by transforming them into a semantic knowledge base. Using techniques from natural language processing and Semantic Computing, we automatically populate an ontology. Additionally, all content is made accessible in a user-friendly Wiki interface, combining original text with NLP-derived metadata and adding annotation capabilities for collaborative use. All these functions are combined into a single, cohesive system architecture that addresses the different requirements from end users, software engineering aspects, and knowledge discovery paradigms. The ideas were implemented and tested with a volume from the historic Encyclopedia of Architecture and a number of different user groups.