Semantics analytics




Towards a Vecsigrafo: Portable Semantics in Knowledge-based Text Analytics .
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The proliferation of knowledge graphs and recent advances in Artificial Intelligence have raised great expectations related to the combination of symbolic and distributional semantics in cognitive tasks. This is particularly the case of knowledge-based approaches to natural

Semantics -powered healthcare engineering and data analytics
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Health information systems (HISs) play a crucial role in healthcare in the 21st century. Enacted as part of the American Recovery and Reinvestment Act of 200 the Health Information Technology for Economic and Clinical Health (HITECH) Act was signed into law

Automated Predictive big data analytics using Ontology based Semantics
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Study the growth history of galaxies by following theirmerger trees in large-scale astrophysical simulations. The service uses the addition of lambda expressions and the Stream API in Java Java has gained a powerful and expressive query language that

Smart Water System Interoperability: Integrating Data and Analytics for Demand Optimized Management through Semantics
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Efficient urban water management is an increasingly pressing challenge due to growing population density, and competing pressures towards business objectives and sustainability, both in terms of water conservation and energy expenditure. Even in locations

A Distributional Semantics Model for Image Recommendation using Learning Analytics
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In Society 5.0, a global trend is to process educational big data in order to solve various social and educational problems. This study, leveraging the power of learning analytics intends to investigate an unsolved problem in the domain of image-based vocabulary

PBL3. 0: Integrating Learning Analytics and Semantics in Problem-Based Learning
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This paper presents the PBL3. 0 project that aims at enhancing Problem Based Learning (PBL) with Learning Analytics (LA) and Learning Semantics (LS) in order to produce a new educational paradigm and pilot it to produce relevant policy recommendations. To this end The scientific world is in dire need of innovative solutions for scholarly communication and dissemination that would take full advantage of the digital world and allow for more efficient use of the research outputs. These innovative solutions should support new forms for

Investigating a Plausible Reasoning Approach for Performing Semantics -based Health Data Analytics
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In the development of data-driven models for clinical decision support, incompleteness of the data is always a consideration. Plausible reasoning is the manifestation of the plasticity element of humans reasoning capability to reason over incomplete data and discover new

Semantics -Powered Healthcare Engineering and Data Analytics
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Health information systems (HISs) play a crucial role in healthcare in the 21st century. Enacted as part of the American Recovery and Reinvestment Act of 200 the Health Information Technology for Economic and Clinical Health (HITECH) Act was signed into law

PBL3. 0: Integrating Learning Analytics and Semantics in Problem-Based Learning
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The education and training field has progressed over the years, by introducing novel learning strategies that aim to shift the focus from the educator to the learners as well as novel technologies to support learning activities (Norman Spohrer). However

Integrated Analytics for Application Management using Stream Clustering and Semantics .
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Large-scale software applications produce enormous amount of execution data in the form of logs which makes it challenging for managing execution of such applications. There have been several semantically enhanced analytical solutions proposed for enhanced monitoring

Workshop summary: Workshop on Semantics and Analytics for Emergency Response (SAFE2015).
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ABSTRACT The Emergency Response domain is a highly challenging domain, requiring the active collaboration of several experts and authorities on the one hand and largescale data analysis on the other. This poses significant challenges in sharing and analysing highly

Ontology-based semantics vs meta-learning for predictive big data analytics
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Predictive analytics in the big data era is taking on an ever increasingly important role. Issues related to choice on modeling technique, estimation procedure (or algorithm) and efficient execution can present significant challenges. For example, the selection of

An Interactive Analytics Tool for Understanding Location Semantics Using Mobile Phone Data
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Population distribution of planning areas helps in making urban development decisions. Two important criteria are: where do people live and where do they work Almost every city has statistics about where people live. But conclusive information about where people

Using Blockchain, Semantics and Data Analytics to Οptimise Qualification Certification, Recruitment and Competency Management: a Landscape Review
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In the era of digitisation, innovative technologies and Information Communication Technology (ICT) systems have transformed many areas and domains. The same cannot be said for Higher Education, especially as this concerns the certification of degrees





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