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7th World Symposium on Communication Engineering, WSCE 2024

作者： Michoulis, George Tsourdinis, Kyros Niotis, George Kyranou, Konstantinos Fountoukidis, Eleutherios Lagkas, Thomas Argyriou, Vasileios Sarigiannidis, Panagiotis Psannis, Konstantinos E. Goudos, Sotirios K. Sidroco Holdings Ltd R&D Dpt. Thessaloniki Greece Sidroco Holdings Ltd R&D Dpt. Nicosia Cyprus Democritus University of Thrace Dpt. of Computer Science Kavala Greece University of Western Macedonia Dpt. of Electrical & Computer Engineering Kozani Greece Kingston University London Kingston Upon Thames Dpt. of Networks and Digital Media Surrey United Kingdom University of Macedonia Department of Applied Informatics Thessaloniki Greece ELEDIA@AUTH School of Physics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9798331542825

This paper presents FraMark, a blockchain-based framework for 5G network management that utilizes Hyperledger Fabric and fractional Non-Fungible Tokens (NFTs) to optimize resource allocation. We introduce a comprehensive system that fractionalizes digital assets to represent 5G network resources, enhancing efficiency and allocation flexibility. Our framework addresses the challenges of 5G network management by ensuring low latency, high transaction throughput, and secure resource trading. We conduct experiments to evaluate the performance of our approach, including CPU and memory utilization, latency analysis, and block size assessment. The results demonstrate the effectiveness of FraMark in improving network resource utilization and transaction efficiency, validating our framework's claims. By leveraging blockchain technology and innovative resource slicing techniques, FraMark paves the way for dynamic and efficient 5G network management. © 2024 IEEE.

关键词： 5G mobile communication systems

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Query expansion with a little help from twitter

Communications in Computer and Information Science

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Communications in computer and Information science 2013年 384卷 20-29页

作者： Anagnostopoulos, Ioannis Razis, Gerasimos Mylonas, Phivos Anagnostopoulos, Christos-Nikolaos Computer Science and Biomedical Informatics Dpt. University of Thessaly Greece Electrical and Computer Engineering School National Technical University of Athens Greece Cultural Technology and Communication Dpt. University of the Aegean Greece

With the advent and rapid spread of microblogging services, web information management finds a new research topic. Although classical information retrieval methods and techniques help search engines and services to present an adequate precision in lower recall levels (top-k results), the constantly evolving information needs of microblogging users demand a different approach, which has to be adapted to the dynamic nature of On-line Social Networks (OSNs). In this work, we use Twitter as microblogging service, aiming to investigate the query expansion provision that can be extracted from large graphs, and compare it against classical query expansion methods that require mainly prior knowledge, such as browsing history records or access and management of search logs. We provide a direct comparison with mainstream media services, such as Google, Yahoo!, Bing, NBC and Reuters, while we also evaluate our approach by subjective comparisons in respect to the Google Hot Searches service. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Social networking (online)

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A comparison over focused web crawling strategies

A comparison over focused web crawling strategies

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15th Panhellenic Conference on informatics, PCI 2011

作者： Avraam, Ioannis Anagnostopoulos, Ioannis Department of Mathematics Aristotle University of Thessaloniki Thessaloniki Greece Dpt of Computer Science and Biomedical Informatics University of Central Greece Lamia Greece

ISBN: (纸本)9780769543895

In this paper we review and compare focused crawling strategies, studied and published during the past decade. Despite giant leaps in communication, storage and computing power in recent years, crawlers have always struggled to keep up with Web content generation and modification. Focused crawlers attempt to i) accelerate the crawling process, ii) maximize the harvest of high quality pages, iii) assign appropriate credit to different documents along a crawling path, such that short-term gains are not pursued at the expense of less obvious paths that ultimately yield larger sets of valuable pages. Beyond the review and comparison of the focused crawling strategies, we additionally propose additions to the corresponding architectures for further research. © 2011 IEEE.

关键词： Computing power

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A comparable study employing weka clustering/classification algorithms for web page classification

A comparable study employing weka clustering/classification ...

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15th Panhellenic Conference on informatics, PCI 2011

作者： Charalampopoulos, Ioannis Anagnostopoulos, Ioannis Dpt of Inf. and Comm. Systems Engineering University of Aegean Karlovassi Samos island Greece Dpt of Computer Science and Biomedical Informatics University of Central Greece Lamia Greece

ISBN: (纸本)9780769543895

Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification are presented as an introduction. One out of many tools that can be used in method evaluation, application and modification is WEKA (Waikato Environment for Knowledge Analysis). Testing results and conclusions strengthen the principles and bases of classification, while demonstrating the need for a new interlayer in the evaluation of classification methods. © 2011 IEEE.

关键词： Websites

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InfluenceTracker: Rating the impact of a twitter account

IFIP Advances in Information and Communication Technology

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IFIP Advances in Information and Communication Technology 2014年 437卷 184-195页

作者： Razis, Gerasimos Anagnostopoulos, Ioannis Computer Science and Biomedical Informatics Dpt University of Thessaly Lamia Greece

This paper describes a methodology for rating the influence of a Twitter account in this famous microblogging service. Then it is evaluated over real accounts, under the belief that influence is not only a matter of quantity (amount of followers), but also a mixture of quality measures that reflect interaction, awareness, and visibility in the social sphere. The authors of this paper have created "InfluenceTracker", a publicly available website1 where anyone can rate and compare the recent activity of any Twitter account. © IFIP International Federation for Information Processing 2014.

关键词： Social networking (online)

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What do we need to know about clones? deriving information needs from user goals

What do we need to know about clones? deriving information n...

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International Workshop on Software Clones (IWSC)

作者： Hamid Abdul Basit Muhammad Hammad Stan Jarzabek Rainer Koschke Computer Science Dpt. LUMS Lahore Pakistan Punjab Information Technology Board (PITB) Lahore Pakistan Computer Science Dpt. NUS Singapore Dpt. of Mathematics and Informatics University of Bremen Germany

Clone detection can be used to achieve diverse objectives such as refactoring, program understanding, bug localization, and plagiarism detection, etc. Each goal takes a different perspective on clone information needs. Different clone detection tools report different information about clones. To gauge the suitability of a given clone detector for a particular user objective, we need to determine which information needs implied by the objective a clone detector addresses. In this paper, we make a first step toward gathering clone information needs from the description of user goals. The results of our analysis are useful for various stakeholders such as programmers, managers, tool developers, and researchers.

关键词： Cloning Software Context Quality assessment Ontologies Plagiarism Libraries

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PaperMill Detection in Scientific Content

PaperMill Detection in Scientific Content

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Razis Konstantinos Anagnostopoulos Omiros Metaxas Stefanos-Dimitrios Stefanidis Hong Zhou Ioannis Anagnostopoulos Atypon Systems LLC California United States Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece

Researchers often come under pressure when facing the ever-increasing demand to produce a progressive number of publications, resorting to hiring the services of paper mills. These are unofficial, and often illegitimate, organizations providing ready-made questionable research components and services, posing a threat to the research integrity, scientific ecosystem, and publishers. Identifying paper mill material is a challenging and laborious process, while the increasing number of Artificial Intelligence services generating human-like text obstructs this process. The purpose of this paper is to contribute to the research integrity domain by proposing the PaperMill Detection manuscript screening framework. By leveraging contextual signals, it measures the probability of a document being the result of a paper mill organization or generated by Artificial Intelligence. The combination of these signals can facilitate the detection of questionable scientific content. Our evaluation has revealed that the proposed approach outperforms other open-source and commercial solutions in all examined evaluation metrics, achieving an F1 score of 0.97.

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Thematic labeling of Twitter accounts using DBpedia properties

Thematic labeling of Twitter accounts using DBpedia properti...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Razis Ioannis Anagnostopoulos Petr Saloun Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Czech Republic

ISBN: (纸本)9781509052479

In this paper, we propose an iterative algorithm towards the automatic labeling of Twitter accounts in respect to thematic categories derived from DBpedia properties. We describe the rationale behind the selection of these thematic categories, and discuss their evaluation assessment. Finally, we propose and analyze two generic and adaptable methodologies for discovering the necessary linked data resources for further enhancing the thematic description of Twitter accounts.

关键词： Twitter Labeling Measurement Classification algorithms Tagging Semantics Algorithm design and analysis

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Semantic social analytics and linked open data cloud

Semantic social analytics and linked open data cloud

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Razis Ioannis Anagnostopoulos Michalis Vafopoulos Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece NCSR “Demokritos” Software and Knowledge Engineering Laboratory Athens Greece

ISBN: (纸本)9781467383967

In this paper, we propose an ontology schema towards linking semantified Twitter social analytics with the Linked Open Data cloud. The ontology is deployed over a publicly available service that measures how influential a Twitter account is by combining its social activity in Twitter. According to our knowledge this is the first work that combines social analytics with the Linked Open Data (LOD) cloud.

关键词： Twitter Ontologies Resource description framework Measurement Semantics Tagging

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Enriching social analytics with latent Twitter image information

Enriching social analytics with latent Twitter image informa...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Razis Georgios Theofilou Ioannis Anagnostopoulos Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece School of Electrical & Computer Engineering National Technical University of Athens Athens Greece

ISBN: (数字)9781728159195

ISBN: (纸本)9781728159201

In this paper, we propose a framework that uses latent information from Twitter images by employing the Google Cloud Vision API platform aiming at enriching social analytics with semantics and textual information. Our study reveals that user-generated content, linked data as well as hidden concepts and textual information from social images can be highly considered for enriching social analytics. Finally, we publish our annotated dataset for further use and evaluation from our research community.

关键词： Social networking (online) Linked data Conferences Semantics Blogs User-generated content

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