The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

Nowadays, we are witnessing an ever-growing trend of deploying lightweight linguistic
analysis for solving problems that deal with the conversion of the vast bulk of raw textual …

In this paper, we present an unsupervised hybrid text-mining approach to automatic
acquisition of domain relevant terms and their relations. We deploy the TFIDF-based term …

We present a framework for concept-based cross-language information retrieval in the
medical domain, which is under development in the MUCHMORE project. Our approach is …

We discuss the objectives of any endeavor in creating artificial intelligence, AI, and provide a
possible alternative. Intelligence might be an unintended consequence of curiosity left to …

We present an architecture for the integration of shallow and deep NLP components which
is aimed at flexible combination of different language technologies for a range of practical …

In this article we present SMES–SPPC, a high–performance system for intelligent extraction
of structured data from free text documents. SMES–SPPC consists of a set of domain …

Abstract Information Extraction (IE) is a technology for localizing and classifying pieces of
relevant information in unstructured natural language texts and detecting relevant relations …

We describe basic concepts and software architectures for the integration of shallow and
deep (linguistics-based, semantics-oriented) natural language processing (NLP) …

We present a divide-and-conquer strategy based on finite state technology for shallow
parsing of realworld German texts. In a first phase only the topological structure of a …