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- 164 creator christopher-duffy.
- 164 creator felix-michel.
- 164 creator hilary-dugan.
- 164 creator jordan-read.
- 164 creator matheus-hauder.
- 164 creator paul-hanson.
- 164 creator varun-ratnakar.
- 164 creator yolanda-gil.
- 164 type InProceedings.
- 164 label "Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes".
- 164 sameAs 164.
- 164 abstract "The Web was originally developed to support collaboration in science. Although scientists benefit from many forms of collaboration on the Web (e.g., blogs, wikis, forums, code sharing, etc.), most collaborative projects are coordinated over email, phone calls, and in-person meetings. Our goal is to develop a collaborative infrastructure for scientists to work on complex science questions that require multi-disciplinary contributions to gather and analyze data, that cannot occur without significant coordination to synthesize findings, and that grow organically to accommodate new contributors as needed as the work evolves over time. Our approach is to develop an organic data science framework based on a task-centered organization of the collaboration, includes principles from social sciences for successful on-line communities, and exposes an open science process. Our approach is implemented as an extension of a semantic wiki platform, and captures formal representations of task decomposition structures, relations between tasks and users, and other properties of tasks, data, and other relevant science objects. All these entities are captured through the semantic wiki user interface, represented as semantic web objects, and exported as linked data.".
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- 164 keyword "Open Data Science".
- 164 keyword "Organic Data Science".
- 164 keyword "Semantic MediaWiki".
- 164 title "Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes".
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- 19 creator anthony-g-cohn.
- 19 creator dhavalkumar-thakker.
- 19 creator joaquin-valdes.
- 19 creator vania-dimitrova.
- 19 type InProceedings.
- 19 label "PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain".
- 19 sameAs 19.
- 19 abstract "A Decision Support System (DSS) in tunnelling domain deals with identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key area in diagnosing pathologies is to identify regions of the spread of pathologies. In practice, tunnel experts intuitively abstract such regions of interest and in doing so select tunnel portions that are susceptible to the same types of pathologies with some distance approximation. This complex diagnosis process is often subjective and poorly scales across cases and transport structures. In this paper, we introduce PADTUN system, a working prototype of DSS in tunnelling domain using semantic technologies. Ontologies are developed and used to capture tacit knowledge from tunnel experts. Tunnel inspection data are annotated with ontologies to take advantage of inferring capabilities offered by semantic technologies. In addition, an intelligent mechanism is developed to exploit abstraction and inference capabilities to identify regions of interest (ROI). PADTUN is developed in real-world settings offered by the NeTTUN EU Project and is applied in a tunnel diagnosis use case with Société Nationale des Chemins de Fer Français (SNCF), France. We show how the use of semantic technologies allows addressing the complex issues of pathology and ROI inferencing and matching experts’ expectations of decision support.".
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- 19 keyword "ROI inferencing using semantics".
- 19 keyword "transport structures".
- 19 keyword "tunnel diagnosis".
- 19 keyword "tunnel maintenance and diagnosis ontology".
- 19 title "PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain".
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- 47 creator jose-manuel-gomez-perez.
- 47 creator panos-alexopoulos.