Search for dissertations about: "semantic techniques"
Showing result 1 - 5 of 67 swedish dissertations containing the words semantic techniques.
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1. A Verification Framework for Component Based Modeling and Simulation : “Putting the pieces together”
Abstract : The discipline of component-based modeling and simulation offers promising gains including reduction in development cost, time, and system complexity. This paradigm is very profitable as it promotes the use and reuse of modular components and is auspicious for effective development of complex simulations. READ MORE
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2. Ontology Integration with Non-Violation Check and Context Extraction
Abstract : Matching and integrating ontologies has been a desirable technique in areas such as data fusion, knowledge integration, the Semantic Web and the development of advanced services in distributed system. Unfortunately, the heterogeneities of ontologies cause big obstacles in the development of this technique. READ MORE
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3. From Numerical Sensor Data to Semantic Representations : A Data-driven Approach for Generating Linguistic Descriptions
Abstract : In our daily lives, sensors recordings are becoming more and more ubiquitous. With the increased availability of data comes the increased need of systems that can represent the data in human interpretable concepts. READ MORE
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4. Contributions to Semantic Dependency Parsing : Search, Learning, and Application
Abstract : Semantic dependency parsing is the task of mapping natural language sentences into representations of their meaning in the form of directed graphs on words. These bilexical graphs are designed to capture the sentence-internal predicate-argument relationships – they tell us “who did what to whom” in the given sentence. READ MORE
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5. Interpretation and Alignment of 2D Indoor Maps : Towards a Heterogeneous Map Representation
Abstract : Mobile robots are increasingly being used in automation solutions with notable examples in service robots, such as home-care, and warehouses. Autonomy of mobile robots is particularly challenging, since their work space is not deterministic, known a priori, or fully predictable. READ MORE