Sentence examples for semantic data processing from inspiring English sources

They have christened their approach Semantic Data Processing (SDP), and describe its benefits, impact and future challenges for large scale science in the article "Lightweight Semantic Data Processing for Facility Science".

Design user-centric service level agreements, a Cloud ontology, and mechanisms for dynamic negotiation of resources based on multi-agent technologies and semantic data processing.

Siri brings a very advanced collection of technologies (speech recognition, natural language processing, semantic data processing, and geo-location) to create a virtual assistant that helps you perform tasks through a conversational, question-and-answer interface.

While the project considers interoperability across all layers of the software stack, we are particularly interested in answering the question: how ontologies and semantic data processing can be harnessed to facilitate interoperability across the IoT landscape.

Ontologies are means that facilitate the integration of data and knowledge allowing interoperability and semantic information processing between diverse biomedical resources and domains.

Secondly, we aimed to explore cerebral activity in a task that required neither semantic categorization nor explicit semantic information processing.

To support semantic-based multimedia retrieval in big data environment, this paper presents an optimized algorithm called semantic ontology retrieval (SOR), which uses big data processing tools to store and retrieve ontologies from heterogeneous multimedia data.

An example application was designed and built that integrates this syntactic and semantic metadata via an ontology to perform a data processing operation.

We also present an approach that attributes 3D point clouds with semantic information (e.g., object class category information), which enables more effective data processing, analysis, and visualization.

The performance results show that their architecture is a promising technique for storing and processing many types of data that are not handled well by the other two semantic data models.

Opportunities generated through the large-scale availability of semantic data include: Formal semantic verification of published information leading to higher quality information from authors, for reviewers and for technical processing.