Paper Nr: |
4 |
Title: |
Knowledge-based Service for African Traditional Herbal Medicine: A Hybrid Approach |
Authors: |
Samuel Nii Odoi Devine, Emmanuel Awuni Kolog, Erkki Sutinen and Ilari Sääksjärvi |
Abstract: |
Globally, the acceptance and use of herbal and traditional medicine is on the rise. Africa, especially Ghana, has its populace resorting to African Traditional Herbal Medicine (ATHMed) for their healthcare needs due to its potency and accessibility. However, the practice involving its preparation and administration has come into question. Even more daunting is the poor and inadequate documentation covering the preservation and retrieval of knowledge on ATHMed for long-term use, resulting in invaluable healthcare knowledge being lost. Consequently, there is the need to adopt strategies to help curtail the loss of such healthcare knowledge, for the benefit of ATHMed stakeholders in healthcare delivery, industry and academia. This paper proposes a hybrid-based computational knowledge framework for the preservation and retrieval of traditional herbal medicine. By the hybrid approach, the framework proposes the use of machine learning and ontology-based techniques. While reviewing literature to reflect the existing challenges, this paper discusses current technologies suited to approach them. This results in a framework that embodies an ontology driven knowledge-based system operating on a semantically annotated corpus that delivers a contextual search pattern, geared towards a formalized, explicit preservation and retrieval mechanism for safeguarding ATHMed knowledge. |
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Paper Nr: |
11 |
Title: |
Case Model for the RoboInnoCase Recommender System for Cases of Digital Business Transformation: Structuring Information for a Case of Digital Change |
Authors: |
Hans-Friedrich Witschel, Marco Peter, Laura Seiler, Soyhan Parlar and Stella Gatziu Grivas |
Abstract: |
In this work, we develop a case model to structure cases of past digital transformations which act as input data for a recommender system. The purpose of that recommender is to act as an inspiration and support for new cases of digital transformation. To define the case model, case analyses, where 40 cases of past digital transformations are analysed and coded to determine relevant attributes and values, literature research and the particularities of the case for digital change, are used as a basis. The case model is evaluated by means of an experiment where two different scenarios are fed into a prototypical case-based recommender system and then matched, based on an entropically derived weighting system, with the case base that contains cases structured according to the case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model. |
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Paper Nr: |
20 |
Title: |
Rethinking Strategies of Hackathons to Increase Team’s Creativity: Findings of a Qualitative Research |
Authors: |
Nelson Tenório, Gisele Caroline Urbano Lourenço, Mariana Oliveira, Steffi Aline Stark Becker, Fabrício Tomaz Bernardelli, Hassan Atifi and Nada Matta |
Abstract: |
Hackathons are events that have become increasingly common around the world. This kind of event, described as a programming marathon, is based on problem-solving that can go beyond the technological boundary. This paper presents the findings of an international hackathon to aid its organizers to rethink their strategies to improve the development of the team’s creativity to solve the challenge proposed. The paper summarizes qualitative research based on interviews and observations which point out that the organizers should consider strategies to improve knowledge application, resolving conflicts, individual learning, and experienced emotions, during pre-hackathon as well as post-hackathon events. Our findings could leverage the innovation, creativity, and knowledge sharing and creation within hackathons. |
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Paper Nr: |
23 |
Title: |
Investigation and Identification of Quality Dimensions in e-Business |
Authors: |
Prodromos D. Chatzoglou, Antonios Christidis, Vasileios Aggelidis and Symeon Symeonidis |
Abstract: |
This paper attempts to develop and empirically test a research model that examines the relationship between various e-service quality dimensions and overall service quality, customer satisfaction and purchase intension. The adopted quality dimensions are based on SERVQUAL and its extensions proposed by various researchers which refer specifically to some of the critical factors of electronic services provided by e-shops. A structured questionnaire has been constructed and electronically distributed. Three hundred and sixty usable questionnaires were received. SEM (structural equation modeling) was mainly used to analyse the gathered data and test the validity of the proposed research model. The results showed that the dimensions of web site design, web site usability, information quality, service reliability, responsiveness, trust, and personalization are some of the most important dimensions of quality. Almost all of them have direct or indirect relationship with overall service quality and customer satisfaction which, in turn, have a strong relationship with purchase intentions. Overall, the results suggest that e-shops should develop specific marketing strategies to better address the proposed dimensions of e-services. |
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Paper Nr: |
55 |
Title: |
Consumers’ Willingness to Purchase High Animal-welfare Beef Products in Japan: Exploratory Research based on the Theory of Planned Behavior |
Authors: |
Takuya Washio, Takumi Ohashi and Miki Saijo |
Abstract: |
Agricultural industry needs to face both increasing demand from a growing population and transform in order to enhance its sustainability. Animal welfare, an aspect of this transformation, is still an unfamiliar concept for consumers in Japan, although this is expected to catch up with the global trend. Researchers have been working around the world to explore consumer behavior in markets, but few such studies have been performed in Japan. This study aimed to explore consumer behavior concerning high animal-welfare products in Japan, using the Theory of Planned Behavior (TPB). An online questionnaire was used to identify consumer characteristics and perceived attributes of high animal-welfare products among 620 consumers. We found that awareness of animal welfare was still low among Japanese consumers, and was not related to demographic characteristics. Two components out of three which are considered in TPB, attitude and social norm, were likely related to consumers’ willingness to purchase high animal-welfare products. Consumers’ empathy with, and psychological responses to, farmers and animals are suggested to be related to their willingness to purchase. |
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Paper Nr: |
56 |
Title: |
A Mixed Neural Network and Support Vector Machine Model for Tender Creation in the European Union TED Database |
Authors: |
Sangramsing Kayte and Peter Schneider-Kamp |
Abstract: |
This research article proposes a new method of automatized text generation and subsequent classification of the European Union (EU) Tender Electronic Daily (TED) text documents into predefined technological categories of the dataset. The TED dataset provides information about the respective tenders includes features like Name of project, Title, Description, Types of contract, Common procurement vocabulary (CPV) code, and Additional CPV codes. The dataset is obtained from the SIMAP-Information system for the European public procurement website, which is comprised of tenders described in XML files. The dataset was preprocessed using tokenization, removal of stop words, removal of punctuation marks etc. We implemented a neural machine learning model based on Long Short-Term Memory (LSTM) nodes for text generation and subsequent code classification. Text generation means that given a single line or just two or three words of the title, the model generates the sequence of a whole sentence. After generating the title, the model predicts the main applicable CPV code for that title. The LSTM model reaches an accuracy of 97% for the text generation and 95% for code classification using Support Vector Machine(SVM). This experiment is a first step towards developing a system that based on TED data is able to auto-generate and code classify tender documents, easing the process of creating and disseminating tender information to TED and ultimately relevant vendors. The development and automation of this system will future vision and understand current undergoing projects and the deliveries by a SIMAP-Information system for European public procurement tenders organisation based on the tenders published by it. |
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Paper Nr: |
12 |
Title: |
Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data |
Authors: |
Jayesh Prakash Gupta, Hannu Kärkkäinen, Karan Menon, Jukka Huhtamäki, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu, Jari Jussila, Henri Pirkkalainen and Thomas Olsson |
Abstract: |
Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis-based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work. |
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Paper Nr: |
16 |
Title: |
Knowledge Requirements for Sustainable Smart Service Design |
Authors: |
Jesus Mario Verdugo Cedeño, Lea Hannola and Ville Ojanen |
Abstract: |
Recent research have addressed the topic of smart services from distinct angles, covering both technical and business aspects. However, a holistic approach in development processes of such services have yet to be fully covered. Therefore, this paper proposes an elicitation of requirements process as the initial step of a smart service design approach. The process takes information and knowledge needs as its core element for development, also considering customer centricity, service lifecycle, and sustainability concerns. A text mining tool was used to discover the unknown knowledge requirements from different text-data sources presented in a case ecosystem. After a co-occurrence analysis performed by our text mining software, we extracted the most relevant natural linguistic elements, which are expressed as knowledge requirements. The proposed elicitation process aims to lay the foundations for further propositions with a holistic point of view. Future research could aim the application of other technologies and methods for service design, as well as a broader approach in business processes and interdisciplinary cooperation. |
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Paper Nr: |
29 |
Title: |
Fruitful Synergies between Computer Science, Historical Studies and Archives: The Experience in the PRiSMHA Project |
Authors: |
Annamaria Goy, Cristina Accornero, Dunia Astrologo, Davide Colla, Matteo D’Ambrosio, Rossana Damiano, Marco Leontino, Antonio Lieto, Fabrizio Loreto, Diego Magro, Enrico Mensa, Alice Montanaro, Valeria Mosca, Stefano Musso, Daniele P. Radicioni and Cristina Re |
Abstract: |
In this paper we present the mid-term results of the PRiSMHA project, aimed to contribute in building a digital “smart archivist”, i.e., a web-based system providing an innovative access to historical archives. Such a system is endowed with a semantic layer over existing archival metadata, including computational ontologies and a knowledge base, containing a formal description of the content of the documents stored in the archives. The paper focuses on the fruitful synergies employed to reach its goal. In particular, it explains the steps of the “spiral” process implemented for creating a full-fledged formal semantic model, through the interaction between computer scientists, historians, and archivists. The paper also presents some “core side-effects” of this process: an analytical card for each document has been produced, all selected documents have been digitized, OCR-ized (when possible), and linked to a record on the archival platform. This experience enabled us to define a virtuous procedural model, from the paper documents up to the digital “smart archivist”, based on a close collaboration between universities and cultural and historical institutions. |
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Paper Nr: |
32 |
Title: |
Mobile Subject: M-Learning Student Profile |
Authors: |
Laura Krimberg, Anna Helena Silveira Sonego, Leticia Rocha Machado, Ketia Kellen Araújo da Silva and Patricia Alejandra Behar |
Abstract: |
This article aims to present the profile of M-Learning students, called Mobile Subject. For this, a mapping of their characteristics related to mobile learning was carried out. The study establishes a relationship between students engaged in educational activities through their mobile devices. For this purpose, questionnaires were applied to students from two undergraduate and two extension courses, characterizing research as a case study, with a qualitative-quantitative approach. The analysis consisted in the evaluation of the data, outlining the profile of the Mobile Subject by identifying four main characteristics: Speed, Connectivity, Immersion in Social Media and Multitasking and their respective elements. It is hoped that this research may contribute to new discussions about the profile of the Mobile Subject student, proposing parameters and new strategies focused on mobile learning. |
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Paper Nr: |
33 |
Title: |
Collaborative Knowledge Management in University Alliances with Information Models |
Authors: |
Claudia Doering and Christian Seel |
Abstract: |
Alliances between enterprises, such as Star Alliance, are a well-known phenomenon and have been subject of research for the last decades. Today, universities are also beginning to form alliances among themselves. Especially in the area of knowledge transfer alliances matter, as they create synergies, increase the visibility and allow universities to carry out projects that cannot be done by a single university. However, a University alliance creates new processes and interfaces between the member Universities. The management of such an alliance is a knowledge management challenge on its own. Therefore, this paper gathers the requirements on a University alliance and outlines how the business processes, that are specific for a University alliance, can be structured in a framework. The framework indicates which processes are important for an alliance and on which level they have to be addressed, on the level of a single University, first at each University and afterwards in the alliance or on alliance level only. |
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Paper Nr: |
36 |
Title: |
Enhancing the Use of Government Mobile Applications: The Perspective of Citizen-initiated Contacts Theory |
Authors: |
Ching Seng Yap, Rizal Ahmad, Farhana Tahmida Newaz and Cordelia Mason |
Abstract: |
The ubiquity of the Internet and mobile technologies has increased the adoption rate of e-government services in Malaysia. The focus of Malaysian e-government initiatives is now shifting to mobile applications. Selected visits done on portals of government mobile applications indicate a low level of use, which suggests the need to identify factors that affect the use and non-use of government mobile applications. The citizen-initiated contacts theory can be useful in explaining active usage behaviours and making citizens to initiate contacts with the governments. Extensive studies have been done on citizens’ needs for government services and their awareness of the availability of various methods of contacting the government such as through government office visits, telephone calls, and government websites and portals. Unfortunately, similar studies on the use of government mobile applications by citizens are relatively scarce. Studies on the needs for government services and awareness of citizens of government mobile applications will enable us to understand factors contributing to increasing the adoption rate of the mobile applications. This study is timely as it aims at identifying the profile of users and non-users in terms of their socioeconomic characteristics and examining potential influences of perceived needs, perceived security, and awareness on the use of government mobile applications. Using quota sampling technique, primary data will be collected from 400 citizens (200 users and 200 non-users of government mobile applications) in Malaysia via a questionnaire survey. It is hoped that this research will contribute to e-government and m-government literature, from the perspective of citizen-initiated contacts theory, and provide useful implications for government policy in enhancing the use of government mobile applications. |
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Paper Nr: |
37 |
Title: |
Towards Improving Knowledge Capitalization System for Sport Events Legacy |
Authors: |
Malika Grim-Yefsah and Benedicte Bucher |
Abstract: |
Knowledge Management is a way to answer the problem of capitalizing on the companies’ knowledge. Knowing that hosting sports events (SE) requires organizers to learn from past events to not repeat mistakes, we examine knowledge management in a sport events legacy (SEL). Thus, in this paper, we propose in first, two conceptual models based on UML; one for the SE, another for SEL. Secondly, we propose a system to manage SEL to assist in the process of data acquisition and capitalization on SE knowledge. This system helps to create an open collaborative platform for consultation, visualization of the spinoffs of sport events. It is intended to be used by public policies, territories, journalists, citizens, historians and all others. We propose also to take into account the spatiotemporal aspects of SE. |
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Paper Nr: |
43 |
Title: |
Blockchain Certification and Granular Editing Permissions in Document Management System |
Authors: |
Filippo Eros Pani, Giacomo Ibba, Michele Marchesi, Andrea Pinna, Simone Porru, Roberto Tonelli and Bartolomeo Valcalda |
Abstract: |
Ever-growing digitalization and increasingly competitive markets are driving industry and the public sector into fast-paced transformation. Competitive advantage is being acquired through technology investments made possible by previously unavailable resources, freed by process automation, simplification, and rationalization. Under these contingencies, we propose an innovative document management platform, featuring a collaborative document editing technique and a blockchain certification procedure. The two proposing parties - a private company and an academic organization - mutually agreed on employing open-source technologies as a strategic means to promote software reuse and developer communities’ support, and consequently reduce implementation costs and ensure interoperability. |
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Paper Nr: |
46 |
Title: |
A Framework for the Assessment and Training of Software Refactoring Competences |
Authors: |
Thorsten Haendler and Gustaf Neumann |
Abstract: |
Long-living software systems are becoming increasingly complex and difficult to maintain. Software refactoring is considered important to achieve maintainability and extensibility of a software system over time. In practice, it is still often neglected, partly because of costs, the perceived risks of collateral damage and difficulties of individuals working on certain components of complex software. It is therefore important for software projects that software developers have the appropriate skills and competences to efficiently perform software refactoring. However, so far there is no systematization of competences in software refactoring to guide in the assessment or training of competences, e.g., for planning or evaluating training activities and paths. In this paper, we address this need by presenting a competence framework for software refactoring by applying Bloom’s revised taxonomy for educational objectives. In particular, we specify competence levels by combining knowledge and cognitive-process dimensions. Via a case study with two existing training environments (i.e. a tutoring system and a serious game), we demonstrate by example that the framework can support (1) in analyzing the competence levels addressed by the training environments and (2) in reflecting training paths for software refactoring. Finally, we discuss the limitations and the further potential of the framework. |
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Paper Nr: |
49 |
Title: |
Measuring Individuals’ Knowledge, Attitude and Behaviour on Specific Ocean Related Topics |
Authors: |
Conor McCrossan and Owen Molloy |
Abstract: |
In order to measure the effectiveness of Ocean Literacy (OL) tools we can measure people’s knowledge of, and attitude and behaviour towards, specific ocean-related topics, both before and after their use of the tool. The research described in this paper aims at development of more accurate, focused survey tools. In particular we are interested in ensuring that we can accurately assess knowledge on specific topics, rather than assessing broad ocean literacy levels. Surveys were created to measure the levels of knowledge, attitude, and behaviour of university students. The topics which the surveys focused on were micro-plastics, coastal tourism, and sustainable fisheries. The knowledge, attitude, and behaviour questions in the surveys are based on work carried out as part of the H2020 ResponSEAble project on Ocean Literacy. The results show that while the students have a high level of pro-ocean-environmental attitude, their existing behaviour is low to medium, and their future intended behaviour is at a higher level than their existing behaviour. The findings provide useful pointers on how to improve both the ocean literacy tools (no statistically significant correlation between knowledge and either attitude or behaviour) as well as the design of the survey and questions themselves. |
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Paper Nr: |
59 |
Title: |
Distributed Data Validation for a Key-value Store in a Decentralized Electric Vehicle Charging Network |
Authors: |
Benedikt Kirpes, Micha Roon and Christopher Burgahn |
Abstract: |
The mobility sector experiences a fundamental shift to more connected, autonomous, shared and electric means of transportation. For an electric mobility system to function, an efficient and reliable electric vehicle charging network is required. The Open Charging Network, which is built and curated by the Share&Charge Foundation is a digital, open and decentralized infrastructure for operating and connecting assets of the e-mobility ecosystem like charge points and electric vehicles. In such a network validity and consistency of data are crucial. Since the underlying information system is designed based on distributed ledger technologies and distributed hash tables, also the validation of data for the respective key-value store should be implemented and executed in a distributed manner. In this paper, we contribute to the body of research by analyzing the current situation in distributed systems and presenting the design and development of a mechanism for a distributed data validation. We provide an outlook into the future implementation within the Open Charging Network, where the solution will be demonstrated in a suitable context. Further it will be evaluated regarding the primary requirement of data validity and secondary requirements such as availability, reliability and scalability. |
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Paper Nr: |
5 |
Title: |
Complex Authority Network Interactions in the Common Information Sharing Environment |
Authors: |
Harri Ruoslahti and Ilkka Tikanmäki |
Abstract: |
European authorities collaborate as a community toward a coherent approach of situational understanding and open trust base information sharing. Innovation in multi-stakeholder collaboration networks involve complex collaboration between user community members, providing cross-sector, cross-border and cross-authority interaction and information sharing for collaborative situation awareness, and cooperation to increase safety and security. This study analyses data consisting of elements of use cases, collected from EU funded innovation projects. These were placed in a table based on similarity, difference and relevance to produce a classification. The results of this study indicate that use cases and scenarios engage end-users to co-create very practical descriptions providing input communication for innovation projects; also multi-actor projects are complex networks thus, this study contributes to the network approach of innovation. The implications of this study are that reaching faster innovation can be facilitated by leading and organising projects well, providing appropriate feedback to ensure project plans and results stay connected with project goals, fostering project continuums, and having e.g. higher education institutions bring problems as project ideas. The results, innovations, and feedback from research and innovation projects can benefit the European society. |
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Paper Nr: |
48 |
Title: |
Knowledge Management in Healthcare: Information Requirements When Creating a Decision Support Tool in Radiology |
Authors: |
Mary Conlon and Owen Molloy |
Abstract: |
Introduction: This empirical work examines the information requirements when undertaking a process modelling project in a Healthcare setting such as a CT (Computed Tomography) department. Using qualitative and quantitative methods we map the process, incorporating patient, staff and process related components so as to quantify resource utilisation and the service experienced by the patient. Method: In this study, semi structured interviews are used to identify patient complexity factors/characteristics. Process mapping and involvement of stakeholders are discussed as is the identification and analysis of data. A discrete event simulation (DES) model of the process is designed and performance metrics identified. Results: Yearly demand for Radiology services are increasing significantly. Factors determining patient complexity and variation include patient type, infectiousness, mobility, exam type and patient care needs. A strong correlation between age and infectiousness was observed. Conclusion: DES modelling, though data intensive, provides decision makers with insights into resource utilisation, process capacity, delays and disruptions and in doing so supports operations, management and the adoption of good practices in Healthcare. |
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