| The expanding availability of on-line information sources, such as on-line documents, corpora, and the World Wide Web, introduces some challenges. Most notably, users must search through this material to find high-quality, relevant information. This is the domain of information retrieval. Alternatively, knowledge bases present information in a very compact and structured representation. Unfortunately, their creation is labor intensive.; In order to bridge the gap between the amount of structure in the information processed by information retrieval and knowledge engineering techniques, the author presents TAKODO, a tool and a framework designed for both (i) facilitating the extraction of knowledge from unstructured text, possibly to aid in the process of creating a knowledge base, and (ii) retrieving information from natural language texts and the knowledge base, using each to their mutual advantage. TAKODO integrates several existing applications, among them a question answering system, called Text Analyzer, and a frame-based knowledge management tool, called the Knowledge Organizer, with the additional support of corpus linguistic techniques. |
