M. Polychronaki, C. Vassilakis, Dimitrios G. Kogias, Helen C. Leligkou, Ioannis Vagiannis
OPTORER is a newly funded project targeting to enhance and support cultural activities within the region of Attica. OPTORER introduces a novel routing and exploration service in outdoor and indoor areas of touristic and cultural interest in the broad area of Attica. It offers a series of innovative routings across and towards areas of interest, targeting users experience optimization and promotion of underlying purposes. Safety and social wellbeing are prioritized for every tour. Making use of the smartphone device most end users possess, as well as wearable devices such as activity trackers in the form of bracelets/smartwatches that lately have gained broad adoption for self-monitoring activity and wellbeing, the project offers a complete solution developing the algorithms and the end user applications along with an orchestration platform responsible for the administration, operation and execution of the service producing and presenting to the end user results coming from the solution of complex optimization problems.
{"title":"OPTORER PPE: Optimal routing and exploration of touristic and cultural areas of interest within Attica given personalized adaptive preferences, promoted underlying purpose and interactive experience.","authors":"M. Polychronaki, C. Vassilakis, Dimitrios G. Kogias, Helen C. Leligkou, Ioannis Vagiannis","doi":"10.1145/3575879.3575987","DOIUrl":"https://doi.org/10.1145/3575879.3575987","url":null,"abstract":"OPTORER is a newly funded project targeting to enhance and support cultural activities within the region of Attica. OPTORER introduces a novel routing and exploration service in outdoor and indoor areas of touristic and cultural interest in the broad area of Attica. It offers a series of innovative routings across and towards areas of interest, targeting users experience optimization and promotion of underlying purposes. Safety and social wellbeing are prioritized for every tour. Making use of the smartphone device most end users possess, as well as wearable devices such as activity trackers in the form of bracelets/smartwatches that lately have gained broad adoption for self-monitoring activity and wellbeing, the project offers a complete solution developing the algorithms and the end user applications along with an orchestration platform responsible for the administration, operation and execution of the service producing and presenting to the end user results coming from the solution of complex optimization problems.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117322117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Students attending Higher Education Institutions (HEIs) of Vocational Educational and Training (VET) are faced with a variety of complex decisions and procedures. To provide students with more sustained and personalized advising, many HEIs/VETs use academic advising systems and tools as a way to minimize costs and streamline their advising services. Furthermore, it is quite common for educational programs to include and combine educational content from different educational providers, while they are managed and executed on different platforms. Therefore, the ability to develop conceptual models for personalized learning based on educational content produced by heterogeneous educational service providers is a pressing need to address. A similar issue is confronted when deploying applications across diverse cloud computing platforms. A solution that is provided in these situations is the development of specialized languages for defining the topology and the orchestration of applications such as TOSCA, CAMP, Open-CSA, etc. In this paper, we propose to use similar conceptual models for modelling heterogeneous educational offerings toward personalized learning, which are presented along with the overall architecture of a system, named cc-coach, able to support these concepts. Further, this paper is a proposal for the standardization efforts needed for creating a multi-vendor educational ecosystem with diverse stakeholders, able to support personalized learning at various levels.
{"title":"Using TOSCA language to model personalized educational content: Introducing eduTOSCA","authors":"P. Fitsilis, Omiros Iatrellis, Paraskevi Tsoutsa","doi":"10.1145/3575879.3576017","DOIUrl":"https://doi.org/10.1145/3575879.3576017","url":null,"abstract":"Students attending Higher Education Institutions (HEIs) of Vocational Educational and Training (VET) are faced with a variety of complex decisions and procedures. To provide students with more sustained and personalized advising, many HEIs/VETs use academic advising systems and tools as a way to minimize costs and streamline their advising services. Furthermore, it is quite common for educational programs to include and combine educational content from different educational providers, while they are managed and executed on different platforms. Therefore, the ability to develop conceptual models for personalized learning based on educational content produced by heterogeneous educational service providers is a pressing need to address. A similar issue is confronted when deploying applications across diverse cloud computing platforms. A solution that is provided in these situations is the development of specialized languages for defining the topology and the orchestration of applications such as TOSCA, CAMP, Open-CSA, etc. In this paper, we propose to use similar conceptual models for modelling heterogeneous educational offerings toward personalized learning, which are presented along with the overall architecture of a system, named cc-coach, able to support these concepts. Further, this paper is a proposal for the standardization efforts needed for creating a multi-vendor educational ecosystem with diverse stakeholders, able to support personalized learning at various levels.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127965211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wireless Sensor Networks (WSN) are expected to revolutionize daily life by connecting everyday objects with sensing capabilities, offering numerous opportunities for a wide range of applications. To facilitate the integration and enable all these opportunities to be realized, it becomes a necessity for middleware architectures that: (a) perform well in non-well-defined infrastructures, (b) are able to deal with the large number of users and heterogeneous devices integrated into it (ultra scalable), and (c) enable autonomy of the system overall. This work introduces a bio-inspired middleware optimized for wireless sensor networks proposing a refinement, the regional network, in a work published earlier as a bio-inspired self-adaptive architecture for the Internet of Things, while providing a comparison of other similar middleware approaches and a discussion on the motivating health monitoring scenario.
{"title":"Bio-inspired Adaptive Architecture for Wireless Sensor Networks","authors":"G. Eleftherakis, Fesal Baxhaku, Anca Vasilescu","doi":"10.1145/3575879.3575976","DOIUrl":"https://doi.org/10.1145/3575879.3575976","url":null,"abstract":"Wireless Sensor Networks (WSN) are expected to revolutionize daily life by connecting everyday objects with sensing capabilities, offering numerous opportunities for a wide range of applications. To facilitate the integration and enable all these opportunities to be realized, it becomes a necessity for middleware architectures that: (a) perform well in non-well-defined infrastructures, (b) are able to deal with the large number of users and heterogeneous devices integrated into it (ultra scalable), and (c) enable autonomy of the system overall. This work introduces a bio-inspired middleware optimized for wireless sensor networks proposing a refinement, the regional network, in a work published earlier as a bio-inspired self-adaptive architecture for the Internet of Things, while providing a comparison of other similar middleware approaches and a discussion on the motivating health monitoring scenario.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132651000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Chroni, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos
Watermarking is a method for the verification of the authenticity of a digital object. In this work we investigate the watermarking of audio signals utilizing watermarked images. We present a multiple watermarking scheme for the watermarking of digital audio signals. The proposed technique exploits an image as a watermark which has been already watermarked with a self inverting permutation. The watermarked image, is then embedded in the LSB values of the digital audio signal. By conducting a series of evaluation experiments, including an attack vector consisting of cropping, noise, and re-sampling attacks, we investigate the robustness of the proposed multiple watermarking technique and prove its potentials against various factors affecting each type of attack.
{"title":"A Multiple Watermarking Scheme for Digital Audio Signals","authors":"Maria Chroni, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos","doi":"10.1145/3575879.3576005","DOIUrl":"https://doi.org/10.1145/3575879.3576005","url":null,"abstract":"Watermarking is a method for the verification of the authenticity of a digital object. In this work we investigate the watermarking of audio signals utilizing watermarked images. We present a multiple watermarking scheme for the watermarking of digital audio signals. The proposed technique exploits an image as a watermark which has been already watermarked with a self inverting permutation. The watermarked image, is then embedded in the LSB values of the digital audio signal. By conducting a series of evaluation experiments, including an attack vector consisting of cropping, noise, and re-sampling attacks, we investigate the robustness of the proposed multiple watermarking technique and prove its potentials against various factors affecting each type of attack.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129710640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Areti Karamanou, Petros Brimos, E. Kalampokis, K. Tarabanis
Dynamic data (including environmental, traffic, and sensor generated data) were, recently, recognised as an important part of the Open Government Data (OGD) movement. These data are of vital importance in the development of data intelligence applications. For example, various business applications exploit traffic data to predict, e.g., traffic demand and an estimated time of arrival. However, this type of data is inherently vulnerable to data quality errors produced by, e.g., failures of sensors and network faults. The objective of this paper is to explore the quality of Dynamic Open Government Data for the development of data intelligence applications. Towards this end, we study a single case about the traffic data provided by the official Greek OGD portal. The portal involves the use of an Application Programming Interface (API), which is essential for the effective dissemination of dynamic data. Our research approach involves the exploration and the evaluation of the provided data with regards to missing values and anomalies. We anticipate that this paper will contribute to the identification of organisational and technical challenges that hamper the effective dissemination of dynamic OGD.
{"title":"Exploring the Quality of Dynamic Open Government Data for Developing Data Intelligence Applications: The Case of Attica Traffic Data","authors":"Areti Karamanou, Petros Brimos, E. Kalampokis, K. Tarabanis","doi":"10.1145/3575879.3575974","DOIUrl":"https://doi.org/10.1145/3575879.3575974","url":null,"abstract":"Dynamic data (including environmental, traffic, and sensor generated data) were, recently, recognised as an important part of the Open Government Data (OGD) movement. These data are of vital importance in the development of data intelligence applications. For example, various business applications exploit traffic data to predict, e.g., traffic demand and an estimated time of arrival. However, this type of data is inherently vulnerable to data quality errors produced by, e.g., failures of sensors and network faults. The objective of this paper is to explore the quality of Dynamic Open Government Data for the development of data intelligence applications. Towards this end, we study a single case about the traffic data provided by the official Greek OGD portal. The portal involves the use of an Application Programming Interface (API), which is essential for the effective dissemination of dynamic data. Our research approach involves the exploration and the evaluation of the provided data with regards to missing values and anomalies. We anticipate that this paper will contribute to the identification of organisational and technical challenges that hamper the effective dissemination of dynamic OGD.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angelos Dimitsas, Christos G Gogos, Efthalia Pappa
Thesis defense is the procedure where a graduation candidate defends his thesis in front of a committee. This procedure usually involves a committee with special composition, while several other rules have to be enforced too. The problem of scheduling many thesis defenses in a designated period of time is a problem known to the timetabling community and is hard to solve. In this work, we experiment on a benchmark dataset that was released along with a formal description of the Problem. We employ three mathematical models and combine them to create a three phase approach. We test this approach with both Integer and Constraint programming solvers and manage to achieve high quality results, while most of them are better than the formerly best known.
{"title":"Better solutions for the Thesis Defense Timetabling problem using a three-phase approach","authors":"Angelos Dimitsas, Christos G Gogos, Efthalia Pappa","doi":"10.1145/3575879.3575967","DOIUrl":"https://doi.org/10.1145/3575879.3575967","url":null,"abstract":"Thesis defense is the procedure where a graduation candidate defends his thesis in front of a committee. This procedure usually involves a committee with special composition, while several other rules have to be enforced too. The problem of scheduling many thesis defenses in a designated period of time is a problem known to the timetabling community and is hard to solve. In this work, we experiment on a benchmark dataset that was released along with a formal description of the Problem. We employ three mathematical models and combine them to create a three phase approach. We test this approach with both Integer and Constraint programming solvers and manage to achieve high quality results, while most of them are better than the formerly best known.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125421780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chatbots and virtual assistants have become part of people's everyday life. The need for mass production of these services rapidly and efficiently has created an explosion of software-related services focused on developing chatbots. Big companies like Google, Microsoft, Amazon, and IBM offer complete Chatbot Development Platforms and compete with each other. Our effort is to help people interested in using these platforms decide which is the best CDP for their case. Similar attempts have happened but are now outdated as CDPs have introduced breaking changes. We study each CDP, define criteria and calculate scores based on requirement assumptions. In parallel, we observe how innovations in NLP are presented in the market through CDPs.
{"title":"A Comparative Evaluation of Chatbot Development Platforms","authors":"Ioannis Dagkoulis, Lefteris Moussiades","doi":"10.1145/3575879.3576012","DOIUrl":"https://doi.org/10.1145/3575879.3576012","url":null,"abstract":"Chatbots and virtual assistants have become part of people's everyday life. The need for mass production of these services rapidly and efficiently has created an explosion of software-related services focused on developing chatbots. Big companies like Google, Microsoft, Amazon, and IBM offer complete Chatbot Development Platforms and compete with each other. Our effort is to help people interested in using these platforms decide which is the best CDP for their case. Similar attempts have happened but are now outdated as CDPs have introduced breaking changes. We study each CDP, define criteria and calculate scores based on requirement assumptions. In parallel, we observe how innovations in NLP are presented in the market through CDPs.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130273222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of free and open source software is increasing and there is currently a tendency towards more openness in the provision of open source software. However, libraries that are used in conjunction with the software may affect the final license selection of the open source software and special caution is needed by software developers. Existing tools provide the means to extract license information from software projects, but this information has not been utilized towards recommending licenses that do not cause license violations. In this paper, we present our work towards the recommendation of licenses that satisfy the license compatibility requirement taking into consideration the licenses of third party libraries used in the software project. We have employed a dataset of 160 open source software projects to compare license compatibility using license extraction techniques implemented in different tools, i.e. Nomos and Ninka, whereas we have integrated the license extraction process in the findOSSLicense open source license recommender system, in order to recommend licenses that do not cause violations. The evaluation results and a small scale user study demonstrate the added value of the approach for the software developers in being better informed about license compatibility.
{"title":"Towards open source software licenses compatibility check","authors":"G. Kapitsaki, Athina C. Paphitou, A. Achilleos","doi":"10.1145/3575879.3575973","DOIUrl":"https://doi.org/10.1145/3575879.3575973","url":null,"abstract":"The use of free and open source software is increasing and there is currently a tendency towards more openness in the provision of open source software. However, libraries that are used in conjunction with the software may affect the final license selection of the open source software and special caution is needed by software developers. Existing tools provide the means to extract license information from software projects, but this information has not been utilized towards recommending licenses that do not cause license violations. In this paper, we present our work towards the recommendation of licenses that satisfy the license compatibility requirement taking into consideration the licenses of third party libraries used in the software project. We have employed a dataset of 160 open source software projects to compare license compatibility using license extraction techniques implemented in different tools, i.e. Nomos and Ninka, whereas we have integrated the license extraction process in the findOSSLicense open source license recommender system, in order to recommend licenses that do not cause violations. The evaluation results and a small scale user study demonstrate the added value of the approach for the software developers in being better informed about license compatibility.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116904840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ilias Kyparissidis Kokkinidis, E. Rigas, Evangelos Logaras, A. Samaras, G. Rampidis, G. Giannakoulas, K. Kouskouras, A. Billis, P. Bamidis
Obstructive coronary artery disease (CAD) is characterized as significant upon detection of stenosis of coronary artery diameter. In this paper, we adapt Artificial Intelligence (AI)-based predictive models to accurately estimate the pretest likelihood of obstructive CAD on coronary computed tomography angiography (CCTA) in patients with suspected CAD. In doing so, we use patients’ objective results and variables extracted from the screening procedure in combination with demographics, medical history, social history, and other medical data. We use a dataset consisting of 77 patients and we apply a number of alternative Machine Learning (ML) algorithms to predict coronary artery stenosis severity . The ensemble voting model showed the best results across all performance metrics with an area under curve (AUC) of approximately 0.88. We also attempt to provide the clinicians with an explanation of the prediction as to make it more trustworthy.
{"title":"Towards an Explainable AI-based Tool to Predict the Presence of Obstructive Coronary Artery Disease","authors":"Ilias Kyparissidis Kokkinidis, E. Rigas, Evangelos Logaras, A. Samaras, G. Rampidis, G. Giannakoulas, K. Kouskouras, A. Billis, P. Bamidis","doi":"10.1145/3575879.3576014","DOIUrl":"https://doi.org/10.1145/3575879.3576014","url":null,"abstract":"Obstructive coronary artery disease (CAD) is characterized as significant upon detection of stenosis of coronary artery diameter. In this paper, we adapt Artificial Intelligence (AI)-based predictive models to accurately estimate the pretest likelihood of obstructive CAD on coronary computed tomography angiography (CCTA) in patients with suspected CAD. In doing so, we use patients’ objective results and variables extracted from the screening procedure in combination with demographics, medical history, social history, and other medical data. We use a dataset consisting of 77 patients and we apply a number of alternative Machine Learning (ML) algorithms to predict coronary artery stenosis severity . The ensemble voting model showed the best results across all performance metrics with an area under curve (AUC) of approximately 0.88. We also attempt to provide the clinicians with an explanation of the prediction as to make it more trustworthy.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126333748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Kostis, Dimitrios Sarafis, Konstantinos Karamitsios, Konstantinos Kotrotsios, K. Kravari, C. Bǎdicǎ, P. Chatzimisios
The job market is continuously evolving. The specific occupations, skills, competences and qualifications that people need change over time, as does their description. To deal with this, effective and intelligent communication and information exchange between the job market and the education and training sector is vital. On the other hand, and from the perspective of the individual (job seeker), especially the less privileged there is a need for approaches that combine practical tools with motivation and mentoring support since skill-matching it is not enough, skill-building is also needed. In this context, the current approach follows a bottom-up methodology investigating the problem of formalizing the lifelong learning process in a dynamic and flexible way. On the other hand, this proposal utilizes a parallel top-down approach in applying semantics and standards upon data in order to alleviate the gap among individuals, workplaces and educational contexts for the benefit of all in a transparent way. More specifically, this article reports towards an approach on tackling the complex task of interconnecting job seekers, employers and educational agents in the current European labor market. To perform this task, we implement an end-to-end service to parse resumes, job descriptions and open courses descriptions, retrieve information on the qualifications associated with the aforementioned, and semantically match them. The proposed implementation effectively detects the underlying information associated with those sources, and manages to interlink job seekers’ resumes to occupations and job vacancies, while being able to assign skill deficits to courses provided by educational agents. The performance of our implementation on CVs, job descriptions and course descriptions in English, Greek, Romanian and Bulgarian, indicate that our approach yields results on par with the state-of-the-art, however on a much larger scale: to the best of our knowledge, this is the first research work that engages with this task on three stakeholders (job seekers, employers, educational agents) and in four European languages.
{"title":"Towards an Integrated Retrieval System to Semantically Match CVs, Job Descriptions and Curricula","authors":"I. Kostis, Dimitrios Sarafis, Konstantinos Karamitsios, Konstantinos Kotrotsios, K. Kravari, C. Bǎdicǎ, P. Chatzimisios","doi":"10.1145/3575879.3575985","DOIUrl":"https://doi.org/10.1145/3575879.3575985","url":null,"abstract":"The job market is continuously evolving. The specific occupations, skills, competences and qualifications that people need change over time, as does their description. To deal with this, effective and intelligent communication and information exchange between the job market and the education and training sector is vital. On the other hand, and from the perspective of the individual (job seeker), especially the less privileged there is a need for approaches that combine practical tools with motivation and mentoring support since skill-matching it is not enough, skill-building is also needed. In this context, the current approach follows a bottom-up methodology investigating the problem of formalizing the lifelong learning process in a dynamic and flexible way. On the other hand, this proposal utilizes a parallel top-down approach in applying semantics and standards upon data in order to alleviate the gap among individuals, workplaces and educational contexts for the benefit of all in a transparent way. More specifically, this article reports towards an approach on tackling the complex task of interconnecting job seekers, employers and educational agents in the current European labor market. To perform this task, we implement an end-to-end service to parse resumes, job descriptions and open courses descriptions, retrieve information on the qualifications associated with the aforementioned, and semantically match them. The proposed implementation effectively detects the underlying information associated with those sources, and manages to interlink job seekers’ resumes to occupations and job vacancies, while being able to assign skill deficits to courses provided by educational agents. The performance of our implementation on CVs, job descriptions and course descriptions in English, Greek, Romanian and Bulgarian, indicate that our approach yields results on par with the state-of-the-art, however on a much larger scale: to the best of our knowledge, this is the first research work that engages with this task on three stakeholders (job seekers, employers, educational agents) and in four European languages.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128369191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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