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Auflistung nach Autor:in "Nikolov, Andriy"

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  • Konferenzbeitrag
    IncMap: A Journey towards Ontology-based Data Integration
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Pinkel, Christoph; Binnig, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Nikolov, Andriy; Schwarte, Andreas; Heupel, Christian; Kraska, Tim
    Ontology-based data integration (OBDI) allows users to federate over heterogeneous data sources using a semantic rich conceptual data model. An important challenge in ODBI is the curation of mappings between the data sources and the global ontology. In the last years, we have built IncMap, a system to semi-automatically create mappings between relational data sources and a global ontology. IncMap has since been put into practice, both for academic and in industrial applications. Based on the experience of the last years, we have extended the original version of IncMap in several dimensions to enhance the mapping quality: (1) IncMap can detect and leverage semantic-rich patterns in the relational data sources such as inheritance for the mapping creation. (2) IncMap is able to leverage reasoning rules in the ontology to overcome structural differences from the relational data sources. (3) IncMap now includes a fully automatic mode that is often necessary to bootstrap mappings for a new data source. Our experimental evaluation shows that the new version of IncMap outperforms its previous version as well as other state-of-the-art systems.
  • Konferenzbeitrag
    The SemSearchXplorer – Exploring semanti
    (Informatik 2009 – Im Focus das Leben, 2009) Ullmann, Thomas Daniel; Uren, Victoria; Nikolov, Andriy
    SemSearchXplorer is a toolkit for the exploration of semantic data. The goal is to lower user barriers to access information in semantic data repositories. Therefore SemSearchXplorer supports the user in three respects: (1) it supports querying of the semantic data with a keyword based approach, so the users do not need to learn a semantic query language, (2) it helps users find relevant results both by using semantic enriched information about the results and semantic filter options to narrow down the set of results, and (3) it provides information exploration capabilities through semantic visualizations recommended by the system. Filtering of semantic search results helps to narrow down the result set to a more manageable amount of information. Besides searching for relevant information, facilities for the exploration of the results help users to gain insight in the context of results. With several semantic visualizations, we try to help users making sense of the raw data. Based on the assumption that there is no single visualization that fits all exploration needs, SemSearchXplorer recommends visualizations based on the selected information of users.