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- W1979511871 abstract "In this paper we present a novel report search engine which uses a dedicated ontology, employs natural language processing and acts as a recommender system. The work on the project has been financed by QUESTOR [1], an Eureka project. The aim of the project was to create an innovative product that will be used in large companies to lower the complexities in the report management workflow. The stated purpose was to be able to query the report management system in natural language, for example entering the question ”Give the situation of the procurements in the surgery department in May 2011”. When entering the question in the graphical user interface, the user is guided by contextual suggestions. The final question is analyzed using natural language processing and transformed in a semantic query language, SPARQL, that is executed on a metadata semantic repository. There, all the reports were indexed, using a domain specific ontology. In the first step all the matching reports are retrieved, the parameters are detected from the question and completed as values for the retrieved reports. Then the list of results is passed through a ranker, which orders the results based on their similarity score with the question. The rank of the chosen result is increased to favor that result in subsequent queries. QUESTOR also introduced a new feature: ad-hoc queries. If the question contains more parameters than there are available in the results, a new report is made in real time, using data from the metadata repository and from the report database. This feature was introduced during the development, at the request of the stakeholders. The paper is organized in the following way: a state of the art of the domain, the Questor architecture and algorithms, experimental data and conclusions." @default.
- W1979511871 created "2016-06-24" @default.
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- W1979511871 date "2014-10-01" @default.
- W1979511871 modified "2023-10-17" @default.
- W1979511871 title "Semantic report search engine — Questor" @default.
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- W1979511871 doi "https://doi.org/10.1109/icstcc.2014.6982404" @default.
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