Papers by Mohammad Javad shayegan
Nowadays, semantic interoperability is a new keyword in the Internet of Things (IoT) for the exch... more Nowadays, semantic interoperability is a new keyword in the Internet of Things (IoT) for the exchange of information between sources. The constant need for interaction and cooperation has resulted in the creation of the Semantic Web with the help of tools and reasoners which manage personal information. Given the significance of the IoT and the increasing use of semantic techniques in this field, the present bibliometric investigation was conducted in the domain of semantic reasoning in the IoT. Bibliometrics involves analyzing bibliographic data of scientific sources, and it can be employed to arrive at an analysis of the status quo in a scientific field. In this study, through the analysis of 799 articles retrieved from the Web of Science database, distribution of topic categories, prolific and influential authors, language of articles, publishers of articles and their geographical distribution, the most debated/researched and the most frequently cited articles, and keyword trends...
2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS), 2021
The financial industry is a pioneer in Blockchain technology. One of the most popular platforms i... more The financial industry is a pioneer in Blockchain technology. One of the most popular platforms in Token-based banking is the flexible Stellar platform. This platform is open-source, and today, its wide range of features makes it possible for many countries and companies to use it in cryptocurrency and Token-based modern banking. This network charges a fee for each transaction. As well, a percentage of the net amount is generated as the inflation rate of the network due to the increased number of tokens. These fees and inflationary amounts are aggregated into a general account and ultimately distributed among members of the network on a collective vote basis. In this mechanism, network users select an account as the destination for which they wish to transfer assets using their user interface, which is generally a wallet. This account could be the account of charities that need this help. It is then determined the target distribution network based on the voting results of all member...
Symmetry, 2022
The popularity and remarkable attractiveness of cryptocurrencies, especially Bitcoin, absorb coun... more The popularity and remarkable attractiveness of cryptocurrencies, especially Bitcoin, absorb countless enthusiasts every day. Although Blockchain technology prevents fraudulent behavior, it cannot detect fraud on its own. There are always unimaginable ways to commit fraud, and the need to use anomaly detection methods to identify abnormal and fraudulent behaviors has become a necessity. The main purpose of this study is to use the Blockchain technology of symmetry and asymmetry in computer and engineering science to present a new method for detecting anomalies in Bitcoin with more appropriate efficiency. In this study, a collective anomaly approach was used. Instead of detecting the anomaly of individual addresses and wallets, the anomaly of users was examined. In addition to using the collective anomaly detection method, the trimmed_Kmeans algorithm was used for clustering. The results of this study show the anomalies are more visible among users who had multiple wallets. The propo...
ArXiv, 2020
Accessing people's personality traits has always been a challenging task. On the other hand, ... more Accessing people's personality traits has always been a challenging task. On the other hand, acquiring personality traits based on behavioral data is one of the growing interest of human beings. Numerous researches showed that people spend a large amount of time on social networks and show behaviors that create some personality patterns in cyberspace. One of these social networks that have been widely welcomed in some countries, including Iran, is Telegram. The basis of this research is automatically identifying users' personalities based on their behavior on Telegram. For this purpose, messages from Telegram group users are extracted, and then the personality traits of each member according to the NEO Personality Inventory are identified. For personality analysis, the study is employed three approaches, including; Cosine Similarity, Bayes, and MLP algorithms. Finally, this study provides a recommender system that uses the Cosine similarity algorithm to explore and recommend...
Today's world is struggling with the COVID-19 pandemic, as one of the greatest challenges of ... more Today's world is struggling with the COVID-19 pandemic, as one of the greatest challenges of the 21st century. During the lockdown caused by this disease, many financial losses have been inflicted on people and all industries. One of the fastest ways to save these industries from the COVID-19 or any possible pandemic in the future is to provide a reliable, fast, smart, and secure solution for people's health assessment. In this article, blockchain technology is used to propose a model which provides and validates the health certificates for people who travel or present in society. For this purpose, we take advantage of blockchain features such as being unchangeable, errorless, distributed, and a single point of failure nonexistence, high security, and proper use in protecting people's privacy. Since a variety of antibody and human health proving tests against the virus are developing, this study tries simultaneously to design an integrated and secure system to meet the ...
Abstract—The vast amount of information on the World Wide Web is created and published by many di... more Abstract—The vast amount of information on the World Wide Web is created and published by many different types of providers. Unlike books and journals, most of this information is not subject to editing or peer review by experts. This lack of quality control and the explosion of web sites make the task of finding quality information on the web especially critical. Meanwhile new facilities for producing web pages such as Blogs make this issue more significant because Blogs have simple content management tools enabling nonexperts to build easily updatable web diaries or online journals. On the other hand despite a decade of active research in information quality (IQ) there is no framework for measuring information quality on the Blogs yet. This paper presents a novel experimental framework for ranking quality of information on the Weblog. The results of data analysis revealed seven IQ dimensions for the Weblog. For each dimension, variables and related coefficients were calculated so ...
the vast amount of information on the World Wide Web is created and published by many different t... more the vast amount of information on the World Wide Web is created and published by many different types of providers. Unlike books and journals, most of this information is not subject to editing or peer review by experts. This lack of quality control and the explosion of web sites make the task of finding quality information on the web especially critical. Meanwhile new facilities for producing web pages such as Blogs make this issue more significant because Blogs have simple content management tools enabling non-experts to build easily updatable web diaries or online journals. On the other hand despite a decade of active research in information quality (IQ) there is no a content management system (CMS) to facilitate measuring information quality on the Blogs yet. This paper presents a novel CMS for ranking quality of information on the Blog. The CMS includes appropriate criteria for ranking Blogs according to IQ parameters. The developed CMS collect and calculate IQ scores of Blogs ...
2021 7th International Conference on Web Research (ICWR), 2021
Much research has been done on the Semantic Web. Semantic enrichment is one branch of this field ... more Much research has been done on the Semantic Web. Semantic enrichment is one branch of this field that has gotten much attention recently. This study aims to use bibliometrics to look at the current state of research in this field. Bibliometrics is the study of scientific sources' bibliographic data, which can be used to assess the current state of a field. Various bibliometric analyses were performed after extracting the metadata required for bibliometry from the Scopus database. According to the study's findings, more articles in this field have been published since 2018, and they have recently received special attention. Ontology/semantics/semantic web/semantic enrichment are also becoming more important keywords. Furthermore, based on the countries that published the articles, the United States, Germany, the United Kingdom, France, Italy, and Brazil published the most in this field. The article goes on to provide more analysis and illustrations, which will be helpful to r...
ArXiv, 2020
Today, ranking systems in universities have been considered by the academic community, and there ... more Today, ranking systems in universities have been considered by the academic community, and there is a tight competition between world universities to achieve higher ranks. In the meantime, the ranking of university websites is also in the spotlight, and the Webometric research center announces the ranks of university websites twice a year. Examining university rankings indicators and the Webometric ranks of the university indicates that some of these indicators, directly and indirectly, affect each other. On the other hand, a preliminary study of Webometric indicators shows that some Search Engine Optimization (SEO) indicators can affect Webometric ranks. The purpose of this research is to show how far the SEO metrics can affect the website rank of the university. To do this, after extracting 38 points of the significant SEO metrics of the extracted universities using various tools, data analysis was conducted along with applying association rules on the data. The results of the res...
International Journal of Web Based Communities
The web is becoming the most important scholarly communication tool and it makes more and more sc... more The web is becoming the most important scholarly communication tool and it makes more and more scientific information accessible. In recent years, university Web rankings have become in importance around the world. The central hypothesis of the ranking is that the university’s web presence reflects its global performance, the quality of its departments and services, the impact of its outputs and its international prestige. One of the most important dimensions in university Website ranking is visibility factor and quality of presentation. The dimension includes qualitative and quantitative criteria. The current paper attempts to priorities presentation criteria for university Website then evaluate selected universities’ websites as a case study by some of the qualitative subcriteria. The results show there are strong correlation between quality of presentationrs and university Website ranking. Keywords--Web Quality, University Web Ranking, Quality of Presentation, AHP
ArXiv, 2020
In recent years, people spend a lot of time on social networks. They use social networks as a pla... more In recent years, people spend a lot of time on social networks. They use social networks as a place to comment on personal or public events. Thus, a large amount of information is generated and shared daily in these networks. Using such a massive amount of information can help authorities to react to events accurately and timely. In this study, the social network investigated is Twitter. The main idea of this research is to differentiate among tweets based on some of their features. This study aimed at investigating the performance of event detection by weighting three attributes of tweets; including the followers count, the retweets count, and the user location. The results show that the average execution time and the precision of event detection in the presented method improved 27% and 31%, respectively, than the base method. Another result of this research is the ability to detect all events (including hot events and less important ones) in the presented method.
In recent years, data mining has played an essential role in computer system performance, helping... more In recent years, data mining has played an essential role in computer system performance, helping to improve system functionality. One of the most critical and influential data mining algorithms is anomaly detection. Anomaly detection is a process in detecting system abnormality that helps with finding system problems and troubleshooting. Intrusion and fraud detection services used by credit card companies are some examples of anomaly detection in the real world. According to the increasing volumes of the datasets that creates big data, traditional data mining approaches do not have efficient enough results. Various platforms, frameworks, and algorithms for big data mining have been presented to account for this deficiency. For instance, Hadoop and Spark are some of the most used frameworks in this field. Support Vector Machine (SVM) is one of the most popular approaches in anomaly detection, which—according to its distributed and parallel extensions—is widely used in big data minin...
3 Abstract: The World Wide Web (WWW) has become one of the fastest growing electronic information... more 3 Abstract: The World Wide Web (WWW) has become one of the fastest growing electronic information sources. In the Web, people are engaging in interaction with more and more diverse information than ever before, so that the problem of information quality is more significant in the Web than any other information system, especially considering the rate of growth in the number of documents. Meanwhile new facilities for producing web pages such as Blogs make this issue more significant because Blogs have simple content management tools enabling non-experts to build easily updatable web diaries or online journals. On the other hand despite a decade of active research, information quality lacks comprehensive methodology for its assessment and improvement. Especially there is not any framework for measuring information quality on the Blogs yet. This paper establishes a survey on Iranian Blog as our case study presents results of the survey, prioritizes information quality criteria by alloca...
2021 7th International Conference on Web Research (ICWR), 2021
The amount of data generated today regarding volume, generation velocity, and variety is quite im... more The amount of data generated today regarding volume, generation velocity, and variety is quite immense. This, in turn, has created a great challenge for scientists and researchers. To devise a solution, researchers have suggested a variety of schemes to help alleviate this problem. One of the suggested schemas is Association Rule Mining, and it is primarily focused on finding the associations in transactionlike data. To assist in finding such associations, Frequent Itemsets should be discovered first. Therefore, this research is a new approach to finding Frequent Itemsets and it is based on the Apriori algorithm and Apache Spark distributed platform. Further, we introduce an extended version of Apriori which tends to find Maximal Frequent Itemsets first to help speed up the mining process. The results and comparison to algorithms like YAFIM and HFIM and the original Apriori show the suggested algorithm outperforms them in dense datasets by an average of 38 percent.
Nowadays Microservice, as one of the most important architectural approaches towards Cloud Comput... more Nowadays Microservice, as one of the most important architectural approaches towards Cloud Computing, has caught the attention of many developers. To give a simple definition of microservice, it could be said: Each microservice is completely independent, and implements a part of the business, which is composed of several microservices. Each microservice could be deployed, updated, and scaled, without any impact on other microservices, and it is all automated. Among Agile methods, Continuous Delivery has played an important role in development process of Microservice-based systems. Continuous Delivery provides faster delivery of changes and faster getting customer's feedbacks. Continuous Delivery consists of many sections, one of which is Software Test. One of the challenges of automated deploying of new releases to production environment, is software reliability, that in case it is breached, the beneficiaries would suffer considerable losses. Regression test is one of the tests ...
The financial industry is a pioneer in Blockchain technology. One of the most popular platforms i... more The financial industry is a pioneer in Blockchain technology. One of the most popular platforms in Token-based banking is the flexible Stellar platform. This platform is open-source, and today, its wide range of features makes it possible for many countries and companies to use it in cryptocurrency and Token-based modern banking. This network charges a fee for each transaction. As well, a percentage of the net amount is generated as the inflation rate of the network due to the increased number of tokens. These fees and inflationary amounts are aggregated into a general account and ultimately distributed among members of the network on a collective vote basis. In this mechanism, network users select an account as the destination for which they wish to transfer assets using their user interface, which is generally a wallet. This account could be the account of charities that need this help. It is then determined the target distribution network based on the voting results of all member...
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration... more Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory consumption. Therefore, partitioning the ontology was proposed. In this paper, a new clustering method for the concepts within ontologies is proposed, which is called SeeCC. The proposed method is a seeding-based clustering method which reduces the complexity of comparison by using clusters’ seed. The SeeCC method facilitates the memory consuming problem and increases their accuracy in the large-scale matching problem as well. According to the evaluation of SeeCC's results with Falcon-AO and the proposed system by Algergawy accuracy of the ontology matching is easily observed. Furthermore, co...
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Papers by Mohammad Javad shayegan