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دسته بندی:
مدیریت دانش - knowledge management
سال انتشار:
2021
عنوان انگلیسی مقاله:
TITAN: A knowledge-based platform for Big Data workflow management
ترجمه فارسی عنوان مقاله:
TITAN: یک پلت فرم مبتنی بر دانش برای مدیریت گردش کار داده های بزرگ
منبع:
ScienceDirect- Elsevier- Knowledge-Based Systems, 232 (2021) 107489: doi:10:1016/j:knosys:2021:107489
نویسنده:
None
چکیده انگلیسی:
Modern applications of Big Data are transcending from being scalable solutions of data processing
and analysis, to now provide advanced functionalities with the ability to exploit and understand the
underpinning knowledge. This change is promoting the development of tools in the intersection of data
processing, data analysis, knowledge extraction and management. In this paper, we propose TITAN, a
software platform for managing all the life cycle of science workflows from deployment to execution
in the context of Big Data applications. This platform is characterised by a design and operation mode
driven by semantics at different levels: data sources, problem domain and workflow components. The
proposed platform is developed upon an ontological framework of meta-data consistently managing
processes and models and taking advantage of domain knowledge. TITAN comprises a well-grounded
stack of Big Data technologies including Apache Kafka for inter-component communication, Apache
Avro for data serialisation and Apache Spark for data analytics. A series of use cases are conducted for
validation, which comprises workflow composition and semantic meta-data management in academic
and real-world fields of human activity recognition and land use monitoring from satellite images./
keywords: تجزیه و تحلیل داده های بزرگ | مفاهیم | استخراج دانش | Big Data analytics | Semantics | Knowledge extraction
قیمت: رایگان
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