The Experts below are selected from a list of 63129 Experts worldwide ranked by ideXlab platform

Gunther Eysenbach - One of the best experts on this subject based on the ideXlab platform.

  • infodemiology and infoveillance framework for an emerging set of public health informatics methods to analyze search communication and publication behavior on the internet
    Journal of Medical Internet Research, 2009
    Co-Authors: Gunther Eysenbach
    Abstract:

    Infodemiology can be defined as the science of distribution and determinants of information in an Electronic Medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. Infodemiology data can be collected and analyzed in near real time. Examples for infodemiology applications include: the analysis of queries from Internet search engines to predict disease outbreaks (eg. influenza); monitoring peoples' status updates on microblogs such as Twitter for syndromic surveillance; detecting and quantifying disparities in health information availability; identifying and monitoring of public health relevant publications on the Internet (eg. anti-vaccination sites, but also news articles or expert-curated outbreak reports); automated tools to measure information diffusion and knowledge translation, and tracking the effectiveness of health marketing campaigns. Moreover, analyzing how people search and navigate the Internet for health-related information, as well as how they communicate and share this information, can provide valuable insights into health-related behavior of populations. Seven years after the infodemiology concept was first introduced, this paper revisits the emerging fields of infodemiology and infoveillance and proposes an expanded framework, introducing some basic metrics such as information prevalence, concept occurrence ratios, and information incidence. The framework distinguishes supply-based applications (analyzing what is being published on the Internet, eg. on Web sites, newsgroups, blogs, microblogs and social media) from demand-based methods (search and navigation behavior), and further distinguishes passive from active infoveillance methods. Infodemiology metrics follow population health relevant events or predict them. Thus, these metrics and methods are potentially useful for public health practice and research, and should be further developed and standardized. [J Med Internet Res 2009;11(1):e11]

  • infodemiology and infoveillance framework for an emerging set of public health informatics methods to analyze search communication and publication behavior on the internet
    Journal of Medical Internet Research, 2009
    Co-Authors: Gunther Eysenbach
    Abstract:

    Infodemiology can be defined as the science of distribution and determinants of information in an Electronic Medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. Infodemiology data can be collected and analyzed in near real time. Examples for infodemiology applications include: the analysis of queries from Internet search engines to predict disease outbreaks (eg. influenza); monitoring peoples' status updates on microblogs such as Twitter for syndromic surveillance; detecting and quantifying disparities in health information availability; identifying and monitoring of public health relevant publications on the Internet (eg. anti-vaccination sites, but also news articles or expert-curated outbreak reports); automated tools to measure information diffusion and knowledge translation, and tracking the effectiveness of health marketing campaigns. Moreover, analyzing how people search and navigate the Internet for health-related information, as well as how they communicate and share this information, can provide valuable insights into health-related behavior of populations. Seven years after the infodemiology concept was first introduced, this paper revisits the emerging fields of infodemiology and infoveillance and proposes an expanded framework, introducing some basic metrics such as information prevalence, concept occurrence ratios, and information incidence. The framework distinguishes supply-based applications (analyzing what is being published on the Internet, eg. on Web sites, newsgroups, blogs, microblogs and social media) from demand-based methods (search and navigation behavior), and further distinguishes passive from active infoveillance methods. Infodemiology metrics follow population health relevant events or predict them. Thus, these metrics and methods are potentially useful for public health practice and research, and should be further developed and standardized.

Faysal Ahmed - One of the best experts on this subject based on the ideXlab platform.

  • a proposed model of e learning management system using semantic web technology
    2013
    Co-Authors: Sharmin Rashid, Ridgewan Khan, Faysal Ahmed
    Abstract:

    Today's World Wide Web (WWW) known as Web 2.0 includes social networking sites, blogs, wikis, and video sharing sites, hosted services, web applications, and so on. It also includes E-learning Management system. It is a process in which we use the Electronic Medium to access the defined set of applications. Research works in the field of E- Learning are represented by a broad spectrum of applications, ranged from virtual classrooms to remote courses or distance learning. For creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web. In this paper we represent a proposed model of "E- learning Management system using Semantic web technologies", where course syllabus, teaching methods, learning activities and learning styles are included and it will be more suitable in different learning institutions. We hope that it will provide a great feedback from both teachers and students.

  • towards e learning management system using semantic web technologies a great proposed model for e lms in semantic web and a unique university namespace univ for developing this e lms
    2011
    Co-Authors: Sharmin Rashid Linta, Ridgewan Khan, Faysal Ahmed
    Abstract:

    Todays World Wide Web (WWW) is known as Web 2.0. It includes social networking sites, blogs, wikis, video sharing sites, hosted services, web applications, mashups and folksonomies. It also includes E-learning Management system. It is a process in which we use the Electronic Medium to access the defined set of applications, cand processes.Because of a lot of limitations using web 2.0 for creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web.Our paper is Towards E-Learning Management System using Semantic Web and a unique University namespace univ, where course syllabus, teaching methods, learning activities and learning styles are included and it will be more suitable in different learning institutions in Bangladesh. This paper presents the basic information about Learning Management System, E-learning, Semantic Web and the proposed model of Learning Management system using semantic web and a vocabulary to represent an university on semantic web . We hope that it will provide a great feedback from both teachers and students.

Ridgewan Khan - One of the best experts on this subject based on the ideXlab platform.

  • a proposed model of e learning management system using semantic web technology
    2013
    Co-Authors: Sharmin Rashid, Ridgewan Khan, Faysal Ahmed
    Abstract:

    Today's World Wide Web (WWW) known as Web 2.0 includes social networking sites, blogs, wikis, and video sharing sites, hosted services, web applications, and so on. It also includes E-learning Management system. It is a process in which we use the Electronic Medium to access the defined set of applications. Research works in the field of E- Learning are represented by a broad spectrum of applications, ranged from virtual classrooms to remote courses or distance learning. For creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web. In this paper we represent a proposed model of "E- learning Management system using Semantic web technologies", where course syllabus, teaching methods, learning activities and learning styles are included and it will be more suitable in different learning institutions. We hope that it will provide a great feedback from both teachers and students.

  • towards e learning management system using semantic web technologies a great proposed model for e lms in semantic web and a unique university namespace univ for developing this e lms
    2011
    Co-Authors: Sharmin Rashid Linta, Ridgewan Khan, Faysal Ahmed
    Abstract:

    Todays World Wide Web (WWW) is known as Web 2.0. It includes social networking sites, blogs, wikis, video sharing sites, hosted services, web applications, mashups and folksonomies. It also includes E-learning Management system. It is a process in which we use the Electronic Medium to access the defined set of applications, cand processes.Because of a lot of limitations using web 2.0 for creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web.Our paper is Towards E-Learning Management System using Semantic Web and a unique University namespace univ, where course syllabus, teaching methods, learning activities and learning styles are included and it will be more suitable in different learning institutions in Bangladesh. This paper presents the basic information about Learning Management System, E-learning, Semantic Web and the proposed model of Learning Management system using semantic web and a vocabulary to represent an university on semantic web . We hope that it will provide a great feedback from both teachers and students.

Magda Mahmoud Mourad - One of the best experts on this subject based on the ideXlab platform.

  • mediamime after the fact authoring annotation system for an e learning environment
    Technical Symposium on Computer Science Education, 2002
    Co-Authors: Avare Stewart, Parviz Kermani, Magda Mahmoud Mourad
    Abstract:

    Studies have shown that e-Learning is one of the fasted growing trends in higher education. This evolving trend can be classified with respect to the underlying structure and content of these environments. Of particular note is an e-Learning environment which is structured asynchronously and whose content is based solely on an Electronic Medium. In such environments, classes may never actually meet and the only form of delivery may be via an Electronic lecture system. Given this environment, how do we maintain the benefits of the traditional classroom setting while still offering students the flexibility they may need in having the asynchronous environment in the first place? Furthermore, given an Electronic-only delivery mechanism, how can both the student and the instructor tailor e-Learning content to suit their needs. We propose a flexible media-rich instructional method which: 1) facilitates collaboration in an asynchronous, Electronic lecture environment and 2) supports the context-based, post-production augmentation and exchange of user-defined supplements which allows an author to refine and tailor e-Learning content.

Sharmin Rashid Linta - One of the best experts on this subject based on the ideXlab platform.

  • towards e learning management system using semantic web technologies a great proposed model for e lms in semantic web and a unique university namespace univ for developing this e lms
    2011
    Co-Authors: Sharmin Rashid Linta, Ridgewan Khan, Faysal Ahmed
    Abstract:

    Todays World Wide Web (WWW) is known as Web 2.0. It includes social networking sites, blogs, wikis, video sharing sites, hosted services, web applications, mashups and folksonomies. It also includes E-learning Management system. It is a process in which we use the Electronic Medium to access the defined set of applications, cand processes.Because of a lot of limitations using web 2.0 for creating E-learning management system, now-a-days we use Web 3.0 which is known as Semantic web.Our paper is Towards E-Learning Management System using Semantic Web and a unique University namespace univ, where course syllabus, teaching methods, learning activities and learning styles are included and it will be more suitable in different learning institutions in Bangladesh. This paper presents the basic information about Learning Management System, E-learning, Semantic Web and the proposed model of Learning Management system using semantic web and a vocabulary to represent an university on semantic web . We hope that it will provide a great feedback from both teachers and students.