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The proliferation of smart things and the subsequent emergence of the Internet of Things has motivated the deployment of intelligent spaces that provide automated services to users. Context-awareness refers to the ability of the system to be aware of the virtual and physical environment, allowing more efficient personalization. Context modeling and reasoning are two important aspects of context-aware computing, since they enable the representation of contextual data and inference of high-level, meaningful information. Context-awareness middleware systems integrate context modeling and reasoning, providing abstraction and supporting heterogeneous context streams. In this work, such a context-awareness middleware system is presented, which integrates a proposed context model based on the adaptation and combination of the most prominent context categorization schemata. A hybrid reasoning procedure, which combines multiple techniques, is also proposed and integrated. The proposed system was evaluated in a real-case-scenario cultural space, which supports preventive conservation. The evaluation showed that the proposed system efficiently addressed both conceptual aspects, through means of representation and reasoning, and implementation aspects, through means of performance.
Konstantinos Michalakis; Yannis Christodoulou; George Caridakis; Yorghos Voutos; Phivos Mylonas. A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces. Applied Sciences 2021, 11, 5770 .
AMA StyleKonstantinos Michalakis, Yannis Christodoulou, George Caridakis, Yorghos Voutos, Phivos Mylonas. A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces. Applied Sciences. 2021; 11 (13):5770.
Chicago/Turabian StyleKonstantinos Michalakis; Yannis Christodoulou; George Caridakis; Yorghos Voutos; Phivos Mylonas. 2021. "A Context-Aware Middleware for Context Modeling and Reasoning: A Case-Study in Smart Cultural Spaces." Applied Sciences 11, no. 13: 5770.
Mining social web text has been at the heart of the Natural Language Processing and Data Mining research community in the last 15 years. Though most of the reported work is on widely spoken languages, such as English, the significance of approaches that deal with less commonly spoken languages, such as Greek, is evident for reasons of preserving and documenting minority languages, cultural and ethnic diversity, and identifying intercultural similarities and differences. The present work aims at identifying, documenting and comparing social text data sets, as well as mining techniques and applications on social web text that target Modern Greek, focusing on the arising challenges and the potential for future research in the specific less widely spoken language.
Maria Nikiforos; Yorghos Voutos; Anthi Drougani; Phivos Mylonas; Katia Kermanidis. The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications. Data 2021, 6, 52 .
AMA StyleMaria Nikiforos, Yorghos Voutos, Anthi Drougani, Phivos Mylonas, Katia Kermanidis. The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications. Data. 2021; 6 (5):52.
Chicago/Turabian StyleMaria Nikiforos; Yorghos Voutos; Anthi Drougani; Phivos Mylonas; Katia Kermanidis. 2021. "The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications." Data 6, no. 5: 52.
Computer games play an increasingly important role in cultural heritage preservation. They keep tradition alive in the digital domain, reflect public perception about historical events, and make history, and even legends, vivid, through means such as advanced storytelling and alternative timelines. In this context, understanding the respective underlying player base is a major success factor as different game elements elicit various emotional responses across players. To this end, player profiles are often built from a combination of low- and high-level attributes. The former pertain to ordinary activity, such as collecting points or badges, whereas the latter to the outcome of strategic decisions, such as participation in in-game events such as tournaments and auctions. When available, annotations about in-game items or player activity supplement these profiles. In this article, we describe how such annotations may be integrated into different player profile clustering schemes derived from a template Simon–Ando iterative process. As a concrete example, the proposed methodology was applied to a custom benchmark dataset comprising the player base of a cultural game. The findings are interpreted in the light of Bartle taxonomy, one of the most prominent player categorization. Moreover, the clustering quality is based on intra-cluster distance and cluster compactness. Based on these results, recommendations in an affective context for maximizing engagement are proposed for the particular game player base composition.
Georgios Drakopoulos; Yorghos Voutos; Phivos Mylonas. Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia. Big Data and Cognitive Computing 2020, 4, 39 .
AMA StyleGeorgios Drakopoulos, Yorghos Voutos, Phivos Mylonas. Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia. Big Data and Cognitive Computing. 2020; 4 (4):39.
Chicago/Turabian StyleGeorgios Drakopoulos; Yorghos Voutos; Phivos Mylonas. 2020. "Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia." Big Data and Cognitive Computing 4, no. 4: 39.
Short-term property rentals are perhaps one of the most common traits of present day shared economy. Moreover, they are acknowledged as a major driving force behind changes in urban landscapes, ranging from established metropolises to developing townships, as well as a facilitator of geographical mobility. A geolocation ontology is a high level inference tool, typically represented as a labeled graph, for discovering latent patterns from a plethora of unstructured and multimodal data. In this work, a two-step methodological framework is proposed, where the results of various geolocation analyses, important in their own respect, such as ghost hotel discovery, form intermediate building blocks towards an enriched knowledge graph. The outlined methodology is validated upon data crawled from the Airbnb website and more specifically, on keywords extracted from comments made by users of the said platform. A rather solid case-study, based on the aforementioned type of data regarding Athens, Greece, is addressed in detail, studying the different degrees of expansion & prevalence of the phenomenon among the city’s various neighborhoods.
Georgios Alexandridis; Yorghos Voutos; Phivos Mylonas; George Caridakis. A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends. Algorithms 2020, 13, 59 .
AMA StyleGeorgios Alexandridis, Yorghos Voutos, Phivos Mylonas, George Caridakis. A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends. Algorithms. 2020; 13 (3):59.
Chicago/Turabian StyleGeorgios Alexandridis; Yorghos Voutos; Phivos Mylonas; George Caridakis. 2020. "A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends." Algorithms 13, no. 3: 59.
The term intelligent agriculture, or smart farming, typically involves the incorporation of computer science and information technologies into the traditional notion of farming. The latter utilizes plain machinery and equipment used for many decades and the only significant improvement made over the years has been the introduction of automation in the process. Still, at the beginning of the new century, there are ways and room for further vast improvements. More specifically, the low cost of rather advanced sensors and small-scale devices, now even connected to the Internet of Things (IoT), allowed them to be introduced in the process and used within agricultural production systems. New and emerging technologies and methodologies, like the utilization of cheap network storage, are expected to advance this development. In this sense, the main goals of this paper may be summarized as follows: (a) To identify, group, and acknowledge the current state-of-the-art research knowledge about intelligent agriculture approaches, (b) to categorize them according to meaningful data sources categories, and (c) to describe current efficient data processing and utilization aspects from the perspective of the main trends in the field.
Yorghos Voutos; Phivos Mylonas; John Katheniotis; Anastasia Sofou. A Survey on Intelligent Agricultural Information Handling Methodologies. Sustainability 2019, 11, 3278 .
AMA StyleYorghos Voutos, Phivos Mylonas, John Katheniotis, Anastasia Sofou. A Survey on Intelligent Agricultural Information Handling Methodologies. Sustainability. 2019; 11 (12):3278.
Chicago/Turabian StyleYorghos Voutos; Phivos Mylonas; John Katheniotis; Anastasia Sofou. 2019. "A Survey on Intelligent Agricultural Information Handling Methodologies." Sustainability 11, no. 12: 3278.
It took some time indeed, but the research evolution and transformations that occurred in the smart agriculture field over the recent years tend to constitute the latter as the main topic of interest in the so-called Internet of Things (IoT) domain. Undoubtedly, our era is characterized by the mass production of huge amounts of data, information and content deriving from many different sources, mostly IoT devices and sensors, but also from environmentalists, agronomists, winemakers, or plain farmers and interested stakeholders themselves. Being an emerging field, only a small part of this rich content has been aggregated so far in digital platforms that serve as cross-domain hubs. The latter offer typically limited usability and accessibility of the actual content itself due to problems dealing with insufficient data and metadata availability, as well as their quality. Over our recent involvement within a precision viticulture environment and in an effort to make the notion of smart agriculture in the winery domain more accessible to and reusable from the general public, we introduce herein the model of an aggregation platform that provides enhanced services and enables human-computer collaboration for agricultural data annotations and enrichment. In principle, the proposed architecture goes beyond existing digital content aggregation platforms by advancing digital data through the combination of artificial intelligence automation and creative user engagement, thus facilitating its accessibility, visibility, and re-use. In particular, by using image and free text analysis methodologies for automatic metadata enrichment, in accordance to the human expertise for enrichment, it offers a cornerstone for future researchers focusing on improving the quality of digital agricultural information analysis and its presentation, thus establishing new ways for its efficient exploitation in a larger scale with benefits both for the agricultural and the consumer domains.
Phivos Mylonas; Yorghos Voutos; Anastasia Sofou. A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture. Information 2019, 10, 149 .
AMA StylePhivos Mylonas, Yorghos Voutos, Anastasia Sofou. A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture. Information. 2019; 10 (4):149.
Chicago/Turabian StylePhivos Mylonas; Yorghos Voutos; Anastasia Sofou. 2019. "A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture." Information 10, no. 4: 149.
Yorghos Voutos; Phivos Mylonas. A semantic data model for sensory spatio-temporal environmental concepts. Proceedings of the 22nd Pan-Hellenic Conference on Informatics 2018, 180 -185.
AMA StyleYorghos Voutos, Phivos Mylonas. A semantic data model for sensory spatio-temporal environmental concepts. Proceedings of the 22nd Pan-Hellenic Conference on Informatics. 2018; ():180-185.
Chicago/Turabian StyleYorghos Voutos; Phivos Mylonas. 2018. "A semantic data model for sensory spatio-temporal environmental concepts." Proceedings of the 22nd Pan-Hellenic Conference on Informatics , no. : 180-185.
Modern Information and Communication Technologies (ICT) have evolved into an ever developing digital ecosystem. In such a sophisticated system information is typically transmitted through interconnected software and hardware structures, better described as the well-known concept of Internet of Things (Io`I'), Embedded physical devices are producing data related to the observation of human activities and natural phenomena. The arrival and establishment of IoT technologies have created the methodology of Wireless Sensor Networks (WSN) as a novel monitoring infrastructure. In the wider context of IoT several nodes can be equipped with specialized sensors that gather physical quantities in accordance to network structures. The sensor and actuator technologies that enable smart solutions into reliable, heterogeneous, wireless networks, especially designed to provide dissemination across countless sensors are embedded in almost everything. Agricultural industry throughout the world is constantly searching to maximize economic, environmental and qualitative benefits of its operation. Secondly, most processes are not utilizing modern automation for effective agro-production. Optimized agriculture as an automated mean of environmental parameters monitoring has exploited novel capabilities presented by ICT. For instance, viticulture is an exquisite procedure related to mesoclimate and soil conditions; thus, it demands control and efficient quality assessment in the process. In this work, we take into account all aforementioned observations and propose a modus operandi for optimized, ICT-based wine production by the assessment of natural conditions during cultivation and harvest. Our ultimate future goal is to establish a Knowledge Base for Optimal Viticulture through the exploitation of semantics and related applications on top of efficient environmental monitoring. Being a preliminary attempt to model this broad task, we herein assess the model and architecture of sensing devices and their support capabilities.
Yorghos Voutos; Phivos Mylonas; Evaggelos Spyrou; Eleni Charou. An IoT-Based Insular Monitoring Architecture for Smart Viticulture. 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) 2018, 1 -4.
AMA StyleYorghos Voutos, Phivos Mylonas, Evaggelos Spyrou, Eleni Charou. An IoT-Based Insular Monitoring Architecture for Smart Viticulture. 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). 2018; ():1-4.
Chicago/Turabian StyleYorghos Voutos; Phivos Mylonas; Evaggelos Spyrou; Eleni Charou. 2018. "An IoT-Based Insular Monitoring Architecture for Smart Viticulture." 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) , no. : 1-4.
We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side). Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.
Yorghos Voutos; Phivos Mylonas; Evaggelos Spyrou; Eleni Charou. A Social Environmental Sensor Network Integrated within a Web GIS Platform. Journal of Sensor and Actuator Networks 2017, 6, 27 .
AMA StyleYorghos Voutos, Phivos Mylonas, Evaggelos Spyrou, Eleni Charou. A Social Environmental Sensor Network Integrated within a Web GIS Platform. Journal of Sensor and Actuator Networks. 2017; 6 (4):27.
Chicago/Turabian StyleYorghos Voutos; Phivos Mylonas; Evaggelos Spyrou; Eleni Charou. 2017. "A Social Environmental Sensor Network Integrated within a Web GIS Platform." Journal of Sensor and Actuator Networks 6, no. 4: 27.