Auflistung nach Autor:in "Uciteli, Alexandr"
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- KonferenzbeitragOntology-based retrieval of scientific data in LIFE(Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2015) Uciteli, Alexandr; Kirsten, ToralfLIFE is an epidemiological study determining thousands of Leipzig inhabitants with a wide spectrum of interviews, questionnaires, and medical investigations. The heterogeneous data are centrally integrated into a research database and are analyzed by specific analysis projects. To semantically describe the large set of data, we have developed an ontological framework. Applicants of analysis projects and other interested people can use the LIFE Investigation Ontology (LIO) as central part of the framework to get insights, which kind of data is collected in LIFE. Moreover, we use the framework to generate queries over the collected scientific data in order to retrieve data as requested by each analysis project. A query generator transforms the ontological specifications using LIO to database queries which are implemented as project-specific database views. Since the requested data is typically complex, a manual query specification would be very timeconsuming, error-prone, and is, therefore, unsuitable in this large project. We present the approach, overview LIO and show query formulation and transformation. Our approach runs in production mode for two years in LIFE.
- KonferenzbeitragSearch ontology, a new approach towards semantic search(Informatik 2014, 2014) Uciteli, Alexandr; Goller, Christoph; Burek, Patryk; Siemoleit, Sebastian; Faria, Breno; Galanzina, Halyna; Weiland, Timo; Drechsler-Hake, Doreen; Bartussek, Wolfram; Herre, HeinrichWe present an innovative system for semantic search, based on an ontology, called Search Ontology. The Search Ontology contains search terms, for which synonymous labels can be defined, and search concepts, specified by rules, that determine how search terms are combined with abstract NEAR or Boolean operators to describe corresponding concepts in documents. A search query can be generated from the ontological specification and executed on an information retrieval system such as Lucene1 afterwards. This approach has the advantage that the user can create powerful and complex queries by ontological specifications only, with minimal effort and without knowing the query syntax. The ontology itself is easily adaptable, extensible and reusable. No information contained in the ontology is used while preprocessing and indexing the documents, since the ontology is being constantly expanded by users of the system and changes in the ontology should not trigger new indexing and analysis for the whole document collection. The system is intended for domain experts, e.g., patent examiners or experts in the field of post-market surveillance of medical devices.