Anastasios Lytos | The University of Sheffield (original) (raw)

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Papers by Anastasios Lytos

Research paper thumbnail of Argumentation Mining: Exploiting Multiple Sources and Background Knowledge

The field of Argumentation Mining has arisen from the need of determining the underlying causes f... more The field of Argumentation Mining has arisen from the need of determining the underlying causes from an expressed opinion and the urgency to develop the established fields of Opinion Mining and Sentiment Analysis. The recent progress in the wider field of Artificial Intelligence in combination with the available data through Social Web has create great potential for every sub-field of Natural Language Process including Argumentation Mining.

Research paper thumbnail of Modelling argumentation in short text: A case of social media debate

Simulation Modelling Practice and Theory

Research paper thumbnail of Data visualization in internet of things: tools, methodologies, and challenges

Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020

As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks emerged m... more As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks emerged monitoring a wide range of infrastructure, in various domains such as healthcare, energy, transportation, smart city, building automation, agriculture, and industry producing continuously streamlines of data. Big Data technologies play a significant role within IoT processes, as visual analytics tools, generating valuable knowledge in real-time in order to support critical decision making. This paper provides a comprehensive survey of visualization methods, tools, and techniques for the IoT. We position data visualization inside the visual analytics process by reviewing the visual analytics pipeline. We provide a study of various chart types available for data visualization and analyze rules for employing each one of them, taking into account the special conditions of the particular use case. We further examine some of the most promising visualization tools. Since each IoT domain is isola...

Research paper thumbnail of Leveraging Parallelization Opportunities by an Online CAD Tool

High-performance computing utilizes many ranks and threads exploiting contemporary parallel and d... more High-performance computing utilizes many ranks and threads exploiting contemporary parallel and distributing processing architectures. Parallelizing an application is not a straightforward task as it is commonly admitted among all the researchers with this expertise. With all the different design decisions it's easy to be overwhelmed with the intricacies of the hardware and create strange bugs. Tools that aid developers to leverage their skills and knowledge are in great need. Here, we present an online tool that automates a part of the visualization of the parallelism, and can be used to pinpoint errant approaches, as we illustrate with a case study. The tool is available online at our web server, has very low runtime and can instrument via a web interface C and C++ files. The execution of these files can give an insight to the realization of the parallelism, like which thread or rank is accessing a memory address each time step. We have successfully used our tool on motion est...

Research paper thumbnail of Argumentation Mining: Exploiting Multiple Sources and Background Knowledge

The field of Argumentation Mining has arisen from the need of determining the underlying causes f... more The field of Argumentation Mining has arisen from the need of determining the underlying causes from an expressed opinion and the urgency to develop the established fields of Opinion Mining and Sentiment Analysis. The recent progress in the wider field of Artificial Intelligence in combination with the available data through Social Web has create great potential for every sub-field of Natural Language Process including Argumentation Mining.

Research paper thumbnail of Towards smart farming: Systems, frameworks and exploitation of multiple sources

Computer Networks

Abstract Agriculture is by its nature a complicated scientific field, related to a wide range of ... more Abstract Agriculture is by its nature a complicated scientific field, related to a wide range of expertise, skills, methods and processes which can be effectively supported by computerized systems. There have been many efforts towards the establishment of an automated agriculture framework, capable to control both the incoming data and the corresponding processes. The recent advances in the Information and Communication Technologies (ICT) domain have the capability to collect, process and analyze data from different sources while materializing the concept of agriculture intelligence. The thriving environment for the implementation of different agriculture systems is justified by a series of technologies that offer the prospect of improving agricultural productivity through the intensive use of data. The concept of big data in agriculture is not exclusively related to big volume, but also on the variety and velocity of the collected data. Big data is a key concept for the future development of agriculture as it offers unprecedented capabilities and it enables various tools and services capable to change its current status. This survey paper covers the state-of-the-art agriculture systems and big data architectures both in research and commercial status in an effort to bridge the knowledge gap between agriculture systems and exploitation of big data. The first part of the paper is devoted to the exploration of the existing agriculture systems, providing the necessary background information for their evolution until they have reached the current status, able to support different platforms and handle multiple sources of information. The second part of the survey is focused on the exploitation of multiple sources of information, providing information for both the nature of the data and the combination of different sources of data in order to explore the full potential of ICT systems in agriculture.

Research paper thumbnail of The evolution of argumentation mining: From models to social media and emerging tools

Information Processing & Management

Argumentation mining is a rising subject in the computational linguistics domain focusing on extr... more Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.

Research paper thumbnail of Addressing Cybersecurity in the Next Generation Mobility Ecosystem with CARAMEL

Transportation Research Procedia

Research paper thumbnail of The evolution of argumentation mining: From models to social media and emerging tools

Information Processing & Management, Elsevier, 2019

Argumentation mining is a rising subject in the computational linguistics domain focusing on extr... more Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.

Books by Anastasios Lytos

Research paper thumbnail of Towards Smart Farming: Systems, Frameworks and Exploitation of Multiple Sources

Elsevier Computer Networks, 2020

Agriculture is by its nature a complicated scientific field, related to a wide range of expertise... more Agriculture is by its nature a complicated scientific field, related to a wide range of expertise, skills, methods and processes which can be effectively supported by computerized systems. There have been many efforts towards the establishment of an automated agriculture framework, capable to control both the incoming data and the corresponding processes. The recent advances in the Information and Communication Technologies (ICT) domain have the capability to collect, process and analyze data from different sources while materializing the concept of agriculture intelligence. The thriving environment for the implementation of different agriculture systems is justified by a series of technologies that offer the prospect of improving agricultural productivity through the intensive use of data. The concept of big data in agriculture is not exclusively related to big volume, but also on the variety and velocity of the collected data. Big data is a key concept for the future development of agriculture as it offers unprecedented capabilities and it enables various tools and services capable to change its current status. This survey paper covers the state-of-the-art agriculture systems and big data architectures both in research and commercial status in an effort to bridge the knowledge gap between agriculture systems and exploitation of big data. The first part of the paper is devoted to the exploration of the existing agriculture systems, providing the necessary background information for their evolution until they have reached the current status, able to support different platforms and handle multiple sources of information. The second part of the survey is focused on the exploitation of multiple sources of information, providing information for both the nature of the data and the combination of different sources of data in order to explore the full potential of ICT systems in agriculture.

Research paper thumbnail of Argumentation Mining: Exploiting Multiple Sources and Background Knowledge

The field of Argumentation Mining has arisen from the need of determining the underlying causes f... more The field of Argumentation Mining has arisen from the need of determining the underlying causes from an expressed opinion and the urgency to develop the established fields of Opinion Mining and Sentiment Analysis. The recent progress in the wider field of Artificial Intelligence in combination with the available data through Social Web has create great potential for every sub-field of Natural Language Process including Argumentation Mining.

Research paper thumbnail of Modelling argumentation in short text: A case of social media debate

Simulation Modelling Practice and Theory

Research paper thumbnail of Data visualization in internet of things: tools, methodologies, and challenges

Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020

As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks emerged m... more As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks emerged monitoring a wide range of infrastructure, in various domains such as healthcare, energy, transportation, smart city, building automation, agriculture, and industry producing continuously streamlines of data. Big Data technologies play a significant role within IoT processes, as visual analytics tools, generating valuable knowledge in real-time in order to support critical decision making. This paper provides a comprehensive survey of visualization methods, tools, and techniques for the IoT. We position data visualization inside the visual analytics process by reviewing the visual analytics pipeline. We provide a study of various chart types available for data visualization and analyze rules for employing each one of them, taking into account the special conditions of the particular use case. We further examine some of the most promising visualization tools. Since each IoT domain is isola...

Research paper thumbnail of Leveraging Parallelization Opportunities by an Online CAD Tool

High-performance computing utilizes many ranks and threads exploiting contemporary parallel and d... more High-performance computing utilizes many ranks and threads exploiting contemporary parallel and distributing processing architectures. Parallelizing an application is not a straightforward task as it is commonly admitted among all the researchers with this expertise. With all the different design decisions it's easy to be overwhelmed with the intricacies of the hardware and create strange bugs. Tools that aid developers to leverage their skills and knowledge are in great need. Here, we present an online tool that automates a part of the visualization of the parallelism, and can be used to pinpoint errant approaches, as we illustrate with a case study. The tool is available online at our web server, has very low runtime and can instrument via a web interface C and C++ files. The execution of these files can give an insight to the realization of the parallelism, like which thread or rank is accessing a memory address each time step. We have successfully used our tool on motion est...

Research paper thumbnail of Argumentation Mining: Exploiting Multiple Sources and Background Knowledge

The field of Argumentation Mining has arisen from the need of determining the underlying causes f... more The field of Argumentation Mining has arisen from the need of determining the underlying causes from an expressed opinion and the urgency to develop the established fields of Opinion Mining and Sentiment Analysis. The recent progress in the wider field of Artificial Intelligence in combination with the available data through Social Web has create great potential for every sub-field of Natural Language Process including Argumentation Mining.

Research paper thumbnail of Towards smart farming: Systems, frameworks and exploitation of multiple sources

Computer Networks

Abstract Agriculture is by its nature a complicated scientific field, related to a wide range of ... more Abstract Agriculture is by its nature a complicated scientific field, related to a wide range of expertise, skills, methods and processes which can be effectively supported by computerized systems. There have been many efforts towards the establishment of an automated agriculture framework, capable to control both the incoming data and the corresponding processes. The recent advances in the Information and Communication Technologies (ICT) domain have the capability to collect, process and analyze data from different sources while materializing the concept of agriculture intelligence. The thriving environment for the implementation of different agriculture systems is justified by a series of technologies that offer the prospect of improving agricultural productivity through the intensive use of data. The concept of big data in agriculture is not exclusively related to big volume, but also on the variety and velocity of the collected data. Big data is a key concept for the future development of agriculture as it offers unprecedented capabilities and it enables various tools and services capable to change its current status. This survey paper covers the state-of-the-art agriculture systems and big data architectures both in research and commercial status in an effort to bridge the knowledge gap between agriculture systems and exploitation of big data. The first part of the paper is devoted to the exploration of the existing agriculture systems, providing the necessary background information for their evolution until they have reached the current status, able to support different platforms and handle multiple sources of information. The second part of the survey is focused on the exploitation of multiple sources of information, providing information for both the nature of the data and the combination of different sources of data in order to explore the full potential of ICT systems in agriculture.

Research paper thumbnail of The evolution of argumentation mining: From models to social media and emerging tools

Information Processing & Management

Argumentation mining is a rising subject in the computational linguistics domain focusing on extr... more Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.

Research paper thumbnail of Addressing Cybersecurity in the Next Generation Mobility Ecosystem with CARAMEL

Transportation Research Procedia

Research paper thumbnail of The evolution of argumentation mining: From models to social media and emerging tools

Information Processing & Management, Elsevier, 2019

Argumentation mining is a rising subject in the computational linguistics domain focusing on extr... more Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.

Research paper thumbnail of Towards Smart Farming: Systems, Frameworks and Exploitation of Multiple Sources

Elsevier Computer Networks, 2020

Agriculture is by its nature a complicated scientific field, related to a wide range of expertise... more Agriculture is by its nature a complicated scientific field, related to a wide range of expertise, skills, methods and processes which can be effectively supported by computerized systems. There have been many efforts towards the establishment of an automated agriculture framework, capable to control both the incoming data and the corresponding processes. The recent advances in the Information and Communication Technologies (ICT) domain have the capability to collect, process and analyze data from different sources while materializing the concept of agriculture intelligence. The thriving environment for the implementation of different agriculture systems is justified by a series of technologies that offer the prospect of improving agricultural productivity through the intensive use of data. The concept of big data in agriculture is not exclusively related to big volume, but also on the variety and velocity of the collected data. Big data is a key concept for the future development of agriculture as it offers unprecedented capabilities and it enables various tools and services capable to change its current status. This survey paper covers the state-of-the-art agriculture systems and big data architectures both in research and commercial status in an effort to bridge the knowledge gap between agriculture systems and exploitation of big data. The first part of the paper is devoted to the exploration of the existing agriculture systems, providing the necessary background information for their evolution until they have reached the current status, able to support different platforms and handle multiple sources of information. The second part of the survey is focused on the exploitation of multiple sources of information, providing information for both the nature of the data and the combination of different sources of data in order to explore the full potential of ICT systems in agriculture.