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An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patterns

机译:通过关键字和查询模式表达概念图查询的简便方法

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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.
机译:我们的目标是隐藏用图形查询语言(例如概念图)表达查询的复杂性。我们提出了一种用于查询先前通过概念图进行注释的文档集合的机制。我们的查询基于用户给出的关键字。我们的系统将关键字与相应的概念相关联。然后,它选择一组模式,这些模式是预先编写的典型查询。模式根据初始关键字实例化。最后,用户可以修改他/她选择的预写查询,以尽可能地满足他/她的初始需求。将获得的查询图投影到与文档关联的注释图中。回答查询的文档将返回给用户。

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