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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 41983 (19)
- University: Sharif University of Technology
- Department: Computer Engineering
- Advisor(s): Mirian Hosseinabadi, Hassan
- Abstract:
- XML has been emerged as a de facto standard for data exchange and information transition over computer networks including Web. On the other hand by the growing use of sensors and data streams over computer networks, the usage of XML data format for data streams between data and processing units like sensors and information centers is growing. In this thesis first we do a survey on XML query processing and optimization and after that we propose methods for optimizing query processing over XML data streams based on data stream unique attributes and incremental completeness of XML data trees for increasing the speed of processing and decreasing the amount of memory that processing needs. For this purpose we introduce a Meta model that store semantic schema information of data stream by use of streaming data and grant it to XML query processor. For showing the usage methods of this semantic information some query scenarios have been represented and the optimization process of those queries by the query processor has been discussed. To evaluate the practical performance of proposed method and evaluating its accuracy, a simulation system implemented for simulating semantic information retrieval from data streams and producing proposed Meta model
- Keywords:
- Extensible Markup Language (XML)Queries ; Extensible Markup Language (XML) ; Database ; Data Stream ; Query Processing
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