Sökning: "semantic techniques"
Visar resultat 1 - 5 av 71 avhandlingar innehållade orden semantic techniques.
1. A Verification Framework for Component Based Modeling and Simulation : “Putting the pieces together”
Sammanfattning : 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. LÄS MER
2. Ontology Integration with Non-Violation Check and Context Extraction
Sammanfattning : 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. LÄS MER
3. From Numerical Sensor Data to Semantic Representations : A Data-driven Approach for Generating Linguistic Descriptions
Sammanfattning : 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. LÄS MER
4. Contributions to Semantic Dependency Parsing : Search, Learning, and Application
Sammanfattning : 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. LÄS MER
5. Interpretation and Alignment of 2D Indoor Maps : Towards a Heterogeneous Map Representation
Sammanfattning : 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. LÄS MER