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This paper presents a framework that helps assess and synthesize information system (IS) quality using interpretive structural modeling (ISM). The emphasis of the approach presented in this paper is on an integrated framework to understand IS quality. Four standpoints are addressed in this paper while dealing with IS quality. They are multiplicity of perspectives, subjectivity, hierarchy, and completeness. A combination of deductive and emergent approaches was used in this study. IS quality constructs were generated using established theoretical precepts of IS quality. Following a broad-based questionnaire survey, a smaller subset of respondents participated in an interactive ISM session. This allowed the formalization of how individuals (singly or in groups) produce their own relationships for constructs that are valid for their situations. The analysis of the models generated by such interactions preserves the four views of IS quality. In doing so, it has been shown that reflections of practice can be encapsulated by the method proposed. The paper ends with a discussion on implications for research as well as practice.

CiteSeer is currently a very large source of meta-data information on the World Wide Web (WWW). This meta-data is the key material for the Semantic Web. Still, CiteSeer is not yet a Semanticenabled service and therefore its meta-data, although potentially usable by Semantic Web agents, is not yet reachable using the Semantic Web mechanisms. The complexity of CiteSeer, that is the range of tasks it supports, make the transition to a Semantic-enabled service a non-trivial task. While human users tend to perceive CiteSeer as a single well-integrated service, we believe it is best seen -from a machine perspective -as a collection of services, each service performing a specific task. In this paper we show our approach to enable CiteSeer on the Semantic Web in order to allow the use of its meta-data through the Semantic Web. We first introduce an intuitive Application Programming Interface (API) to the CiteSeer software, then show that an efficient integration of CiteSeer in the Semantic Web can be best achieved by independently integrating the services that comprise it. We believe the effort presented here towards the Semantic-integration of a complex Information Retrieval system could be used as an integration model for arbitrary systems.

The purpose of this study is to assess the impact, issues, and tools of online teaching-learning throughout the various higher educational bodies (colleges/Universities) across India. An online survey was conducted from 29 th June to 20 th July 2020. The questionnaire has closedended questions with multiple choice answer options for analysis using quantitative methods. During the investigation, it has been observed online teaching played a crucial role in education during the COVID-19 pandemic but lack of resources and proper training are the major issues during ICT based/Online teaching-learning. The problem in the selection of a perfect tool for teaching-learning electronically was the reason that could not make it impactful as compared to the conventional education system. This study will help government authorities, educational bodies to draft a training/advisory program for students and teachers to overcome the issues found in the study. It will help in making online education a more attractive and powerful medium for teachinglearning activities that ensure the development of young scholars, skill-set, employability.

Purpose of Study: The IoT is an emerging field nowadays and that can be used anywhere in automation, agriculture, controlling as well as monitoring of any object, which exists in the real world. We have to make use of IoT in Agriculture to increase productivity. Agro-industry processes could be more efficient by using IoT. It gives automation to agro-industry by reducing human intervention. In the current scenario, the sometime farmer doesn’t know the current status of the soil moisture and other things related to their land and don’t produce productive results towards crops. The purpose of this research study is to explore the usage of IoT devices and application areas that are being used in agriculture.  Methodology: The methodology behind this study is to identify trends and review the open challenges, application areas and architectures for IoT in agro-industry. This survey is based on a systematic literature review where related research is grouped into four domains such as monitoring, control, prediction, and logistics.  Main Findings: This research study presents a detailed work of the eminent researchers and designs of computer architecture that can be applied in agriculture for smart farming. This research study also highlights various unfolded challenges of IoT in agriculture. Implications: This study can be beneficial for farmers, researchers, and professionals working in agricultural institutions for smart farming. Novelty/Originality of the study: Various eminent researchers have been making efforts for smart farming by using IoT concepts in agriculture. But, a bouquet of unfolded challenges is still in a queue for their effective solution. This study makes some efforts to discuss past research and open challenges in IoT based agriculture.