Dimitrios Vlachos, University of Peloponnese, Department of Informatics and Telecommunications, Greece
Description: This Workshop contains all the submissions that have not been assigned in other specific Workshops. Upon the finalization of the Technical Program, submissions in the Core Workshop will be assigned to Presentation Slots according to their subject.
Mathieu Andro, Institut National de la Recherche Agronomique, Délégation à l'Information Scientifique et Technique, France
Description: How digitization programs and digital libraries may use volunteer visitors, crowdsourcing, gamification or crowdfunding?
Nick Bassiliades, Aristotle University of Thessaloniki, Department of Informatics, Greece
Efstratios Kontopoulos, Center for Research and Technology, Hellas (CERTH), Informatics and Telematics Institute (ITI), Greece
Athena Vakali, Aristotle University of Thessaloniki, Department of Informatics, Greece
Description: Sentiment analysis, a research area with rapidly increasing popularity, involves a set of processes and approaches aiming at identifying and extracting subjective information (i.e. the attitude of a speaker or a writer wrt. some topic) out of source materials (text, images, videos etc.). A wide range of applications in various domains and contexts exploit sentiment analysis for various important tasks and decision making (e.g. in product and services reviews assessment, in sales predictions, in investor's choices and in politics formation). The underlying methodologies typically involve machine learning and statistical paradigms, which, however, demonstrate several shortcomings that mostly derive from the lack of semantics. Examples of these drawbacks include the need to deal with noise in text from online social media, with the evolving and unpredicted data threads produced, as well as detecting attitudes (such as irony, sarcasm, etc). The emergence of the Semantic Web and the relevant semantically rich ontology-based representations may deliver novel approaches and toolsets which can tackle the previous challenges. Therefore, this workshop investigates the deployment of ontology-based techniques, as well as of semantically rich frameworks and tools towards a more fine-grained sentiment analysis of content of any type.
Damianos Sakas, University of Peloponnese, Department of Informatics and Telecommunications, Greece
Abdel-Badeeh M. Salem, Ain Shams University, Faculty of Computer and Information sciences, Egypt
Description: Intelligent methodologies and machine learning techniques give e-learning systems added computing capability, allowing them to exhibit more intelligent behavior. On the other side, the convergence of artificial intelligence, data science, educational technology and web science is enabling the creation of a new generation of web-based intelligent e-learning systems. The objective of IMTeLS’16 workshop is to bring together scientists engaged in Educational Technology, Computational Thinking, Web Technology, Knowledge Management and Artificial Intelligence. It will provide a forum for identifying important contributions and opportunities for recent research on the different intelligent methodologies and techniques for developing intelligent e-Learning systems.
Emmanuel J. Yannakoudakis, Athens University of Economics and Business , Department of Computer Science, Greece
Description: Information Management constitutes a process related with three core values, a) the information collection from multiple of sources, b)the organization and the archiving, c)the distribution and the dissemination of information to the stakeholders. Libraries and Information Centers have the key role to Information Management sector. This can be seen through the rapid development of Libraries Management Systems via relational databases mindset in the last two decades. In the last decade the rapid development in the Technology of Information and Communications have lead to noteworthy changes to operations and structures of Libraries related with the services that they provide to their users. Printed information start to lose their domination, while users feel free and convenient to use simple methods to search and retrieve information via the Libraries’ services. It can be said that Automated Library Systems haven’t change significantly in the last two decades, and therefore Libraries in order to respond to the new challenges have adopt heterogeneous systems such as search engines and database of full-texts, information link resolvers, services of digital libraries and so on. All the plurality and dimensionality of these services, brings confusion and complexity to users and to the library staff as well, in order to manage and complete daily tasks and activities. From the aforementioned thoughts it can be highlighted a mandatory need for the creation of new a generation of Information Management Systems. The aim of this workshop is the examination of the structure and operationalization of these next generation management systems. Including the following key questions: Which may be the core values and characteristics of Next Generation Information Management Systems? Is it possible for the current database systems to become the core of those next generation systems? Which may be the most important difficulties that need to be treated for the successful adoption of the new systems?
Kostas Stefanidis, University of Tampere, School of Information Sciences, Finland
Description: Data Exploration is related with the efficiently to extracting knowledge from data even if the user does not know exactly what he is intended to looking for. In this workshop, we analyse several data exploration issues and techniques in order to gather the best possible information, creating in this way the knowledge and therefore the wisdom which is needed for the best possible decision making. The emerging area of Databases and the rapid evolution of Information Systems that produce automatically data tailor the data exploration strategic planning as a mandatory field of movement. Thus, we discuss new ideas on how to gather-mine and access data and how the new challenges of data management influence several sectors, such as information science and business analytics.
Miltiadis D. Lytras, The American College of Greece/Deree College , Editor: Int. J. on Semantic Web and Information Systems/ Int. J. on Knowledge Society Research, Greece
Description: The purpose of this workshop is to demonstrate how Knowledge Management (KM), through the fusion of the Human-Centered approach and Information Systems (IS) function within daily strategies and activities of organizations. Moreover, this workshop tries to illustrate how the implementation of a strategy that combines the Knowledge Management and the Information Systems approach could contribute maximally in any kind of problematic situation inside the walls of an institution plus to any kind of decision making process. How and with what methods Information Systems support the decision making process for an organization? What are the probably rewards in place regarding the sharing of Information and other core values that constitute the meaning of KM and IS? Which maybe the “state of the art steps” for constructing a strategic plan for implementing KM via using IS solution? With what methods the scientific community indicates and measures if the KM process is in the right order for an organization? These are –but not limited to- some of the main key discussions for this workshop that relies heavily in the values of the new era Information Management and in the meaning of Knowledge Society.
Patrick OBrien, Montana State University, Library, United States
Description: Institutional repositories (IR) have become a core function of the academic community’s dissemination of new ideas across research disciplines. Information quality and quantity in the form of publications, research data, and metadata are among the key aspects that establish well-structured repositories. It is crucial organizations responsible for IR designate policies, strategies and technical approaches that constitute the state of the art. Academic libraries tend to manage IR at most research institutions, and they are well-positioned to maximize the value of IR for research and administration stakeholders. Discoverability of IR content is crucial as it can lead to greater access and citation of publications. IR content discoverability, use, and impact depend heavily on the practices, policies, and technologies implemented. To fulfil the promise of IR, information scientists and librarians must empower themselves with knowledge and expertise of the new practices, standards, and software enabling well-structured IR for use by humans and machines. This workshop aims to bring together information scientists and librarians in order to discuss and promote new practices and policies for institutional repositories.
Peter Mutschke, GESIS – Leibniz Institute for the Social Sciences , Dep. Knowledge Technologies for the Social Sciences, Germany
Description: Due to the growing complexity of examined phenomena scientific progress is increasingly achieved at the boundaries of the established sciences and by cross-discipline cooperation. However, the way to interdisciplinary research is often hindered because of the difficulty of many researchers to understand a foreign language of science. By its nature, this problem affects cross-discipline information retrieval as well. A still challenging issue therefore is to improve search accuracy by understanding the contextual meaning of search terms in cross-domain information seeking scenarios. The workshop aims at bringing together researchers from different scientific application fields to discuss scenarios, approaches, applications, test beds and new ideas.
Papadopoulou Paraskevi, Deree-The American College of Greece, Department of Science and Mathematics, Greece
Description: The latest developments in Bioinformatics require that we move from data management organization culture to learning organization culture where the collection and exploitation of data is meaningful only when it is used to optimize and automate solutions and solve problems. Big Data as a concept is defined around four aspects: data volume, data velocity, data veracity and data value. Veracity and value aspects of Big Data deal with the quality and the usefulness of big data making management a major challenge for most enterprises in terms of quality. The decisive criterion here isn’t necessarily the amount of (big) data, but valuable content (smart). Smart Data Analysis (focusing on veracity and value) is to filter out the noise and hold the valuable data, which can be effectively used to solve for example business problems or improve healthcare operations and opens new avenues to optimize computing capacities, explore molecular biology, genomics and proteomics and health informatics applications and implications. Researchers should be in the position to study entire systems of data in parallel using a variety of tools and methods asking for an integration with biological, biomedical data or business related big data hoping to improve the operations of various molecular biology sub disciplines, medicine, healthcare systems and businesses. The purpose of this workshop is that through lectures and panel discussions on Bioinformatics and Smart Data Analysis, an overview and solutions to some of these challenges in the fields of genomics, proteomics, medicine and health informatics will be discussed. Researchers for example, need to design better collaboration models in healthcare and ask new questions on physiological and pathological clinical actions leading to real time assistance in disease prevention, prognosis, diagnostics and therapeutics. Turning this data from big to smart is the challenge that needs to be addressed today in order to lead to real time assistance hoping to improve medicine and provide better more personalized treatment.
Christina Marouli, Deree - American College of Greece, Department of Science and Mathematics/ Director - Center of Excellence for Sustainability, Greece
Description: The smart cities concept has been proposed as a guiding principle for urban development. Smart cities aim to maintain a good quality of life for its inhabitants while increasing resource and energy efficiency, with the use of innovative, cutting edge technologies. The effectiveness of smart urban applications can be assessed in many different ways: e.g. ‘smart economy’, ‘smart energy’, ‘smart mobility’, ‘smart governance’, ‘smart neighborhoods’. But smartness, as it provides new opportunities and improved efficiencies, also poses new challenges and vulnerabilities at both the collective and individual levels. This workshop aims to provide a multidisciplinary forum for academics, researchers, practitioners, local government representatives in order to explore questions like: How do smart solutions contribute to high energy efficiency, effective mobility, resource efficient and low carbon cities? How can smart urban approaches promote better – good quality of life for all? How can smart cities promote the city as an integrated, balanced (eco)system, promoting social cohesion and justice? How can innovative, integrated technologies help cities become more connected, compassionate and sustainable? We invite submissions on theoretical approaches, research findings and case studies that highlight good practices and challenges related to smart urban solutions / smart cities for sustainable and inclusive development.
Anastasia Misseyanni, Deree - The American College of Greece (ACG), Department of Science and Mathematics, Greece
Description: Environmental Studies worldwide use an interdisciplinary approach in their study of the environment, promoting significant strategies towards sustainable development. Their integration with leading edge and streamline technologies is a key value proposition for the big challenges of our times. The objective of this workshop is to promote the scientific dialogue for the enhancement of policies related to environmental management, environmental protection, sustainability and innovative technology intensive services and applications. Five general areas describe the context for contributions for this workshop: Priority 1: Innovative startups for environmental management. The emphasis is given to solutions and real world services promoting various aspects of environmental sustainability. Priority 2: Strategies and frameworks for the new role of environmental studies in the global economy. The main focus is on theoretical works analyzing how environmental studies contribute to the wealth and prosperity in our times. Priority 3: Pilot projects and case studies. Project presentations and case studies discussions are invited with main emphasis paid on lessons learnt and best practices. Priority 4: Emerging technologies for environment management. Works related to the contribution of big data, cloud computing, recommendation systems, learning management systems, and open source technologies are invited. Priority 5: Visioning the future. Vision articles related to the future trends in the domain are invited.
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