Some results of the functioning and construction of question-answering sensor systems

V. A. Mochalov, A. V. Mochalova


The paper deals with the functioning and construction of question-answering sensor systems (QASS), which allow with the help of question-answer agents to answer to specified types of natural language questions based on environmental monitoring (EM) data from sensor networks and existing data analysis systems. Question-answer agents perform the following functions: collecting information from sensor network nodes; interaction with existing EM systems, with unstructured and textual data sources; adding data to ontologies and databases; form tasks and requests for data sources; form answers to requests and tasks. Question-answer agents carry out the conversion of a task / request into a request in the language of interaction with the EM system and after forming the answer send it to the task assignment coordinator. The use of agents is considered not only at the stage of answering a question, but also at the stage of constructing the structure of the QASS when searching for a sequence for removing unnecessary elements. The scheme of work of QASS is given and the application of the semantic analyzer in the architecture of QASS is considered. The current semantic analyzer is based on the Java programming language, the Drools expert system and the Apache Jena semantic platform.

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