Topic Extraction and Interactive Knowledge Graphs for Learning Resources

Humanity development through education is an important method of sustainable development. This guarantees community development at present time without any negative effects in the future and also provides prosperity for future generations. E-learning is a natural development of the educational tools in this era and current circumstances. Thanks to the rapid development of computer sciences and telecommunication technologies, this has evolved impressively. In spite of facilitating the educational process, this development has also provided a massive amount of learning resources, which makes the task of searching and extracting useful learning resources difficult. Therefore, new tools need to be advanced to facilitate this development. In this paper we present a new algorithm that has the ability to extract the main topics from textual learning resources, link related resources and generate interactive dynamic knowledge graphs. This algorithm accurately and efficiently accomplishes those tasks no matter how big or small the texts are. We used Wikipedia Miner, TextRank, and Gensim within our algorithm. Our algorithm"s accuracy was evaluated against Gensim, largely improving its accuracy. This could be a step towards strengthening self-learning and supporting the sustainable development of communities, and more broadly of humanity, across different generations.The researcher was partially funded by the Egyptian Ministry of Higher Education and Minia University in the Arab Republic of Egypt. [Joint supervision mission from the fourth year missions (2015–2016) of the seventh five-year plan (2012–2017)]

Tarek M. Mahmoud et.al / International Journal on Computer Science and Engineering (IJCSE) A Framework For An E-Learning System Based on Semantic Web

Abstract- E-Learning is efficient, task relevant and just-in-time learning grown from the learning requirements of the new, dynamically changing, distributed business world. The term “Semantic Web” encompasses efforts to build a new WWW architecture that enhances content with formal semantics, which enables better possibilities for navigating through the cyberspace and accessing its contents. Semantic Web is a product of Web 2.0 (second generation of web) that is supported with automated semantic agents for processing user data to help the user on ease of use and personalization of services. The paper describes a framework for the implementation of an e-learning system based on the Semantic Web, using desktop c # application, data visualization tools, HTML web page parser, RDF generating tools, and SPARQL RDF query language. Hopefully we have elucidated the enormous potential of making web content machine-understandable. I

A Robust and Efficient System to Detect Human Faces Based on Facial Features

Face detection is considered as a one of the most important issues in the identification and authentication systems which use biometric features. Face detection is not straightforward as long as it has lots of dissimilarity of image appearance. Some challenges are required to be resolved to improve the detection process. These challenges include environmental constraints, device specific constraints and the facial feature constraints. Here in our paper we present a modified method to enrich face detection by using combination of Haar cascade files using skin detection, eye detection and nose detection. Our proposed system has been evaluated using Wild database. The experimental results have shown that the proposed system can achieve accuracy of detection up to 96%. Also, here we compared the proposed system with the other face detection systems and the success rate of the proposed system is better than the considered systems

Unlocking the power of blockchain in education: An overview of innovations and outcomes

Blockchain is a revolutionary technology that has the potential to revolutionize various industries, including finance, supply chain management, healthcare, and education. Its decentralized, secure, and transparent nature makes it ideal for use in industries where trust, security, and efficiency are of paramount importance. The integration of blockchain technology into the education system has the potential to greatly improve the efficiency, security, and credibility of the educational process. By creating secure and transparent platforms for tracking and verifying students' academic achievements, blockchain technology can help to create a more accessible and trustworthy education system, making it easier for students to showcase their skills and knowledge to potential employers. While the potential benefits of blockchain in education are significant, there are also several challenges that must be addressed in order to fully realize the potential of this technology in the educational sector. Some of the major challenges include adoption, technical knowledge, interoperability, regulation, cost, data privacy and security, scalability, and accessibility. The necessary equipment for the implementation of blockchain technology in education is diverse and critical to the success of this innovative technology. Organizations should carefully consider this equipment when planning their implementation of blockchain technology in education to ensure the efficient and secure transfer of educational data and transactions within the blockchain network. Blockchain technology has the potential to play a significant role in promoting sustainability education and advancing the sustainability goals of both individuals and organizations. Organizations should consider incorporating blockchain technology into their sustainability education programs, in order to enhance the transparency, verifiability, and efficiency of their sustainability-related activities. While the use of blockchain technology in education is still in its early stages, the available data suggest that it has significant potential to transform the education sector and improve the efficiency and transparency of educational systems