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 2009, the Health Information Technology for Economic and Clinical Health (HITECH) Act was signed into law

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 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

PBL 3.0 for problem based learning, semantics learning analytics
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The Problem Based Learning (PBL) strategy addresses this challenge. However, PBL in its present mode exploit innovative ways to unleash new capabilities. On the other hand, innovative approaches, like Learning Analytics (LA), can be confusing and overwhelming

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 2009, 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 . However

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

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

TweetAlert: Semantic Analytics in Social Networks for Citizen Opinion Mining in the City of the Future.
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In this paper a highly configurable, real-time analysis system to automatically record, analyze and visualize high level aggregated information of user interventions in Twitter is described. The system is designed to provide public entities with a powerful tool to rapidly

INSIGHT: a Semantic Visual Analytics for Programming Discussion Forums.
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This paper presents INSIGHT, a visual analytics web application, designed to induce inspire programming language learning from discussion forums. The visual analytics , extracts and displays semantic content fromStack Exchangein a form of bubble chart. The

Semantic Framework for Industrial Analytics and Diagnostics.
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Massive data streams from sensors and devices are prominent form of industrial data generated during condition-monitoring and diagnosis of complex systems. Data analytics and reasoning has emerged as a vital tool to harness massive data sets, providing insights

What in me is Dark, Illumine : developing a semantic URL learning analytics solution for Moodle
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With the growing prevalence of Big Data, a significant challenge facing New Zealands tertiary sector is the transition to becoming data-driven organisations. Learning Analytics is an emerging trend that provides a means to leverage Big Data in an educational context

Evolutionary Progress of Semantic Web Technologies to Information Analytics
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Page 1. Evolutionary Progress of Semantic Web Technologies to Information Analytics 12 May 2011 Hanmin Jung KISTI Copyright 2004-2011, KISTI The 14th Metadata Open Forum 1 Page 2. Information Services ∎ Service Resources l d ∎ Explicit metadata ∎ Formal documentation

A health analytics semantic ETL service for obesity surveillance.
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The increasingly large amount of data produced in healthcare (eg collected through health information systems such as electronic medical records-EMRs or collected through novel data sources such as personal health records PHRs, social media, web resources) enable

A Visual analytics approach for semantic multi-video annotation
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The annotation of video material plays an important role in many Digital Humanities research fields including arts, political sciences, and cultural and historical studies. The annotations are typically assigned manually and convey rich semantics in accordance with

VISTA: A visual analytics platform for semantic annotation of trajectories.
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Most of the trajectory datasets only record the spatio-temporal position of the moving object, thus lacking semantics and this is due to the fact that this information mainly depends on the domain expert labeling, a time-consuming and complex process. This paper is a contribution

Activities and Trends Analytics in a Widget based PLE using Semantic Technologies.
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We report about work in progress on tracking the activities and trends of users from logs in a widget based Personal Learning Environment (PLE) using semantic technologies and standards for retrieval. As input for the observations, we are using the data from our self

Data Analytics as Data: A Semantic Workflow Approach
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By treating the end-to-end data science workflow as data itself and through the conceptual modeling of the goals and functional intent of the data analyst, the entire process of data analytics becomes open and accessible to the powerful tools of artificial intelligence

Big Data Analytics : Privacy Protection using Semantic Web Technologies
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In this talk I address the privacy issues in the context of big data analytics . The need to support datadriven decision making led to the development of sophisticated technologies to collect and analyze large data sets. However, this useful means of analyzing data comes at

Semantic network traffic analysis using deep packet inspection and visual analytics
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For the protection of critical infrastructures against complex virus attacks, automated network traffic analysis and deep packet inspection are unavoidable. Even with the use of network intrusion detection systems, the number of generated alerts is still too large to analyze

An infrastructure for workplace learning analytics : Tracing knowledge creation with the social semantic server
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In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional Learning Analytics (LA). The design and development of the SSS has evolved over 8 years, starting with an analysis of workplace

Semantic Analytics of PubMed Content
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We present an architecture aimed at semantic search and synthesis of information acquired from the document repositories. The proposed framework is expected to provide domain knowledge interfaces enabling the internally implemented algorithms to identify

Immersive Analytics for Floods Management Semantic Trajectory Data Warehouse Ontology
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Semantic Immersive Analytics is a new paradigm that has the capability for visualizing ontologies and meta-data including annotated web-documents, images, and digital media such as audio and video clips in a synthetic three-dimensional semi-immersive environment

Visual Analytics for Semantic Based Image Retrieval (SBIR): Semantic Tool
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Semantic -based image retrieval (SBIR) is a retrieval technique based on the intuition of user. However, implementing a meticulous strategy without incurring a semantic gap (disparity between the retrieved images and the user desired images) is a challenging task

An MTConnect Ontology for Semantic Industrial Machine Sensor Analytics
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The vision of moving towards more autonomous systems in the industrial domain requires the efficient use of information. The frequent absence of well described assets and the poorly structured and nonavailable live data is considered as one of the main roadblocks

REAL-TIME DATA ANALYTICS WITH SEMANTIC WEB METADATA AND WEB SERVICES
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In modern web platforms, the new challenge is to provide a high degree of decentralization for the existing data and services. This paper is dedicated to Real-time Web analytics using standardized and accessible Semantic metadata and Web services to achieve improved

Supporting learning analytics for informal workplace learning with a social semantic infrastructure
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This paper presents the potential of a social semantic infrastructure that implements an Actor Artifact Network (AAN) with the final goal of supporting learning analytics at the workplace. Two applications were built on top of such infrastructure and make use of the emerging

Connecting: the Semantic HCI Textbook and Cross-Institutional Learning Analytics .
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Open education materials related to the authors HCI textbook were released in 2013 as a MOOC, published on interactiondesign. org, and used for flipped classroom teaching. Work is in progress to link these free open educational resources including substantial video and



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