Modern Information Retrieval
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
A divide-and-conquer strategy for shallow parsing of German free texts
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
An information extraction core system for real world German text processing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
GETESS: searching the web exploiting german texts
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Modeling a Corporate Information System to Improve Knowledge Management
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
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In this paper, we illustrate how Internet documents can be automatically analyzed in order to capture the content of a document in a more detailed manner than usual. The result of the document analysis is called an abstract, and will it be used as a linguistic search index for the Internet search engine, GETESS. We show how the linguistic analysis system SMES can be used with a Harvest-based search engine for constructing a linguistic search index. Further, we denote how the linguistic index can be exploited for answering user search inquiries.