René Witte

References

(Zhang et al., 2008) ⇒ Yonggang Zhang, René Witte, Juergen Rilling, and Volker Haarslev. (2008). “Ontological Approach for the Semantic Recovery of Traceability Links between Software Artifacts.” In: IET Software, Special issue on Language Engineering, 2(3).

(Witte, Li et al., 2007) ⇒ René Witte, Qiangqiang Li, Yonggang Zhang, and Juergen Rilling. (2007). “Ontological Text Mining of Software Documents.” In: 12th International Conference on Applications of Natural Language to Information Systems (NLDB 2007).
(Witte et al., 2007) ⇒ René Witte, Thomas Kappler, and Christopher J. O. Baker. (2007). “Ontology Design for Biomedical Text Mining." Book Chapter in: Semantic Web". doi:10.1007/978-0-387-48438-9
(Rilling et al., 2007) ⇒ Juergen Rilling, René Witte, and Yonggang Zhang. (2007). “Automatic Traceability Recovery: An Ontological Approach.” In: International Symposium on Grand Challenges in Traceability (GCT'07), Center of Excellence in Traceability.
(Witte, Zhang & Rilling, 2007) ⇒ René Witte, Yonggang Zhang, and Jürgen Rilling. (2007). “Empowering Software Maintainers with Semantic Web Technologies.” In: Proceedings of the 4th European conference on The Semantic Web: Research and Applications (ESWC 2007). doi:10.1007/978-3-540-72667-8_5

(Witte, 2004) ⇒ René Witte. (2004). “An Integration Architecture for User-Centric Document Creation, Retrieval, and Analysis.” In: Proceedings of the VLDB Workshop on Information Integration on the Web (IIWeb 2004).
- ABSTRACT: The different stages in the life-cycle of content — creation, storage, retrieval, and analysis — are usually regarded as distinct and isolated steps. In this paper we examine the synergies resulting from their integration within a single architecture. Our goal is to employ such an architecture to improve user support for knowledge-intensive tasks. We present a case study from the area of building architecture, which is currently ongoing.
- INTRODUCTION: Dealing with the overwhelming amount of information readily available today is one of the biggest challenges in computer science. A number of different research areas already deal with knowledge management during the distinct stages of its life-cycle: content creation (document management systems), storage and retrieval (digital libraries, information retrieval systems), and analysis (information extraction systems, text mining).

(Witte & Bergler, 2003) ⇒ René Witte, and Sabine Bergler. (2003). “Fuzzy Coreference Resolution for Summarization.” In: Proceedings of 2003 International Symposium on Reference Resolution and Its Applications to Question Answering and Summarization (ARQAS)