Abstract
Our goal is to hide the complexity of formulating a query expressed in a graph query language such as conceptual graphs. We propose a mechanism for querying a collection of documents previously annotated by means of conceptual graphs. Our queries are based on keywords given by the user. Our system associates the keywords with their corresponding concepts. Then it selects a set of patterns which are pre-written typical queries. The patterns are instantiated according to the initial keywords. Finally, the user can modify the pre-written query he/she selects in order to fit his/her initial needs as well as possible. The query graph obtained is projected into the annotation graphs associated with the documents. The documents which answer the query are returned to the user.
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Comparot, C., Haemmerlé, O., Hernandez, N. (2010). An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patterns. In: Croitoru, M., Ferré, S., Lukose, D. (eds) Conceptual Structures: From Information to Intelligence. ICCS 2010. Lecture Notes in Computer Science(), vol 6208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14197-3_11
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DOI: https://doi.org/10.1007/978-3-642-14197-3_11
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