Lutz Maicher

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In this contribution, we address exploratory search where a user is faced with an information need concerning a domain he lacks specific knowledge. Based on the work of Delbru et al., which introduced metrics to measure the navigational quality of automatically selected facets for RDF data, we apply those findings to the semantically richer TMDM and show(More)
If Topic Maps should be exchanged in distributed environments a common semantic problem occurs: Do two Topics refer to the same Subject? If they describe the same Subject the given Topics have to be treated as one unit in the given context. Especially in integration scenarios this might be important. Within the Topic Map theory the merging paradigm and the(More)
Topic Maps are sophisticated indexes for dynamic, heterogeneous, structured, and unstructured information sources. In order to move Topic Maps towards the mainstream, the automatic generation of Topic Maps and its integration in the users working environment and processes must be improved. Our described approach for Topic Map generation is based on(More)
One of the key challenges for the breaking through of the semantic web or web 2.0 is global semantic integration: if two proxies in different models represent the same thing in the “real world” they should become mergeable. The common top-down approach to semantic integration is the enforcement of centralised ontologies or PSI repositories. This top-down(More)
The existing semantic gaps in ontologies are the reason why the challenges in interoperability and integrations tasks within the Semantic Web are often missed. It is due to the fact, that each ontology inherently implies a set of different model types. We argue that an ontology has to disclose the modelling method which intentionally defines the model type(More)