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Auflistung nach Autor:in "Vladimirov, Vladimir"

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  • Konferenzbeitrag
    Capturing semantics from search phrases: Incremental user personification and ontology-driven query transformation
    (2003) Ermolayev, Vadim; Keberle, Natalya; Plaksin, Sergey; Vladimirov, Vladimir
    Reported is the methodology of the semantic transformation of an initial user's search query in the form of key words or key phrases to the resulting query composed of the relevant concepts of the domain ontology. Transformation methodology is based on incremental user profiling. The mapping of a user's keywords to the concepts of the domain ontology is built according to the presented transformation rules. These rules are based on the usage of the rich set of the semantic relationships comprising subsumption, synonymy, instantiation and meronymy provided as the DAML+OIL ontology. ACM research papers domain is chosen for the methodology evaluation. Transformation algorithm is implemented in the research prototype as the combined capability of the query transformation agent and the ontology agent of the intelligent multi-agent information retrieval mediator1.
  • Konferenzbeitrag
    Ontology-driven sub-query extraction for distributed autonomous information resources in UnIT-Net IEDI
    (Information systems technology and its applications, 3rd international conference ISTA'2004, 2004) Ermolayev, Vadim; Keberle, Natalya; Shapar, Vladimir; Vladimirov, Vladimir
    The paper reports on the development of UnIT-Net1 Infrastructure for Electronic Data Interchange (IEDI). The main task of IEDI is to provide a uniform framework for authorized and secure information retrieval from heterogeneous, distributed, autonomous Information Resources (IRs) among the higher educational establishments and state bodies in Ukraine. The focus of the paper is the algorithm for ontology-driven sub-query extraction. The algorithm performs terminological mapping of an initial query in terms of domain ontology to the set of the sub-queries to different IRs in terms of respective IR ontologies. Mapping procedure is based on the raw mappings knowledge taken from mediator mapping ontology and the so called Late Binding technique for determining concepts. Finally, sub-queries are refined to become correct RDQL queries with respect to the specific IR. This algorithm will be used by IEDI mediator to decompose the user queries. Sub-queries will then be executed by the wrappers of the respective IRs. Initial proof-of-concept evaluation and the semi-formal proofs of ontologydriven sub-query extraction algorithm correctness are provided in the discussion part of the paper.