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ON THE ROLE OF CONTEXTUALITY IN THE INTEGRATION OF WORLDVIEWS
Worldviews, Science and Us, 2011While scientific knowledge has become more and more sophisticated and specialized, it has also become increasingly fragmented. To find new, innovative ideas and lines of research now requires an integrative approach to science. We argue for the view that important progress in this respect is possible if we adopt theoretical insights and mathematical ...
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Contextual Integrity for Argumentation-based Privacy Reasoning
International Joint Conference on Autonomous Agents and Multiagent Systems, 2023Privacy management in online systems is a complex task. Recently, contextual integrity theory has been introduced to model privacy, which considers the social contexts of users before making privacy decisions. However, having a practical application based on this theory is not straightforward.
Gideon Ogunniye, Nadin Kökciyan
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Ontology Integration with Contextual Information
Proceedings of the 6th International Conference on Agents and Artificial Intelligence, 2014An ontology repository is an infrastructure for storing, accessing, searching and managing ontologies. These ontologies can be used for generating context rules to improve ontology integration. A context rule contains conditions for identifying a context.
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SENSOR FUSION INTEGRATING CONTEXTUAL INFORMATION
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001The application of multi-sensor fusion, which aims at recogizing a state among a set of hypotheses for object classification, is of major interest as regards the performance improvement brought by the sensor complementarily. Nevertheless this needs to take into account the more accurate as possible information and take advantage of the statistical ...
Sophie Fabre +2 more
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Integrated Contextual Representation for Objects' Identities and Their Locations
Journal of Cognitive Neuroscience, 2008Abstract Visual context plays a prominent role in everyday perception. Contextual information can facilitate recognition of objects within scenes by providing predictions about objects that are most likely to appear in a specific setting, along with the locations that are most likely to contain objects in the scene.
Nurit Gronau, Maital Neta, Moshe Bar
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Contextual data integration in drug discovery
Expert Opinion on Drug Discovery, 2012The interpretation of high-throughput profiling data depends on the pathway analysis database. Currently, pathway analysis often has to rely on a set of interactions and pathways measured in every possible human tissue, due to insufficient knowledge about interactions and pathways in the context of the profiling experiment.
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Integration of Contextual Data
2016This chapter discusses a conceptual framework that clarifies the nature and importance of context in social scientific research. It first explains how context fits into survey analysis, then addresses major problems that hamper use and collection of contextual data: vague or incomplete conceptual definitions of “context” and lack of methodological ...
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Contextualizing heterogeneous data for integration and inference.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2004Systems that attempt to integrate and analyze data from multiple data sources are greatly aided by the addition of specific semantic and metadata "context" that explicitly describes what a data value means. In this paper, we describe a systematic approach to constructing models of data and their context.
Zachary Pincus, Mark A. Musen
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Contextual Integration in waterfront development
Journal of Architecture, Planning and Construction Management, 2020The relationship between waterfronts and water in the establishment of many cities is a known fact. Issues as to why many waterfront developments do not respond to their water are often raised. This thesis examines the response of waterfront development towards its water, in particular the urban rivers.
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