http://dl.gi.de/handle/20.500.12116/29878 2026-07-21T13:36:27Z 2026-07-21T13:36:27Z Fliedl, Günther Kop, Christian Mayr, Heinrich C. http://dl.gi.de/handle/20.500.12116/29899 2019-11-14T11:21:45Z 2003-01-01T00:00:00Z

From scenarios to KCPM dynamic schemas: Aspects of automatic mapping Fliedl, Günther; Kop, Christian; Mayr, Heinrich C. Düsterhöft, Antje; Thalheim, Bernhard Scenarios are a very popular means for describing and analyzing behavioral aspects on the level of natural language. In information systems design, they form the basis for a subsequent step of conceptual dynamic modeling. To enhance this step, linguistic instruments prove applicable for transforming scenarios into conceptual schemas of various models. This transformation usually consists of three steps: linguistic analysis, component mapping and schema construction. Within this paper we investigate to which extent these steps may be performed automatically in the framework of KCPM, a conceptual predesign model which is used as an Interlingua between natural language and arbitrary conceptual models.

2003-01-01T00:00:00Z Gardarin, Georges Kou, Huaizhong Zetourni, Karina Meng, Xiaofeng Wang, Haiyan http://dl.gi.de/handle/20.500.12116/29900 2019-11-14T11:21:45Z 2003-01-01T00:00:00Z

SEWISE : An ontology-based web information search engine Gardarin, Georges; Kou, Huaizhong; Zetourni, Karina; Meng, Xiaofeng; Wang, Haiyan Düsterhöft, Antje; Thalheim, Bernhard Since the begin of the 90's, the World Wide Web (WWW) rapidly guides the world into a newly amazing electronic village, where everybody can publish everything in electronic form and find almost all required information. The volume of available information is increasing exponentially in different formats, 80% being text. It remains hard to find interesting information directly from Web sources. SEWISE is an ontology-based Web information system to support Web information description and retrieval. According to domain ontology, SEWISE can map text information from various Web sources into one uniform XML structure and make hidden semantic in text accessible to program. The textual information of interest is automatically extracted by Web Wrappers from various Web sources and then text mining techniques such as categorization and summarization are used to process retrieved text information. Finally, text descriptions are built in XML format that can be directly queried. SEWISE provides support for topic-centric Web information search. The SEWISE prototype is implemented and has been experimented using French financial Web news from several popular sites.

2003-01-01T00:00:00Z Cimiano, Philip http://dl.gi.de/handle/20.500.12116/29898 2019-11-14T11:21:44Z 2003-01-01T00:00:00Z

Ontology-driven discourse analysis in GenIE Cimiano, Philip Düsterhöft, Antje; Thalheim, Bernhard

2003-01-01T00:00:00Z Camps, Rafael Daudé, Jordi http://dl.gi.de/handle/20.500.12116/29897 2019-11-14T11:21:44Z 2003-01-01T00:00:00Z

Improving the efficacy of approximate searching by personal-name Camps, Rafael; Daudé, Jordi Düsterhöft, Antje; Thalheim, Bernhard We discuss the design and evaluation of a method to find the information of a person, using his/her name as a search key, even if it has deformations. We present a similarity function that is an edit distance function with costs based on the probabilities of the edit operations but depending on the involved letters and their position. The distance threshold varies with the length of the searched name. The evaluation of the efficacy of approximate matching methods is usually done by subjective relevance judgements. An objective comparison of five methods, reveals that the proposed function highly improves the efficacy: for a recall of 94%, a fallout of 0.2% is obtained.

2003-01-01T00:00:00Z