SEMANTIC DATA CLOUDING OVER THE WEBS

Very often, for business or personal needs, users require to retrieve, in a very fast way, all the available relevant information about a focused target entity, in order to take decisions, organize business work, plan future actions. To answer this kind of \u201centity\u201d- driven user needs, a huge multiplicity of web resources is actually available, coming from the Social Web and related user-centered services (e.g., news publishing, social networks, microblogging systems), from the Semantic Web and related ontologies and knowledge repositories, and from the conventional Web of Documents. The Ph.D. thesis is devoted to define the notion of in-cloud and a semantic clouding approach for the construction of in-clouds that works over the Social Web, the Semantic Web, and the Web of Documents. in-clouds are built for a target entity of interest to organize all relevant web resources, modeled as web data items, into a graph, on the basis of their level of prominence and reciprocal closeness. Prominence captures the importance of a web resource within the in-cloud, by distinguishing, also in a visual way \u201ca la tagcloud\u201d, how much relevant web resources are with respect to the target entity. The level of closeness between web resources is evaluated using matching and clustering techniques, with the goal of determining how similar web resources are to each other and with respect to the target entity

Geographic Information Systems and Science

Geographic information science (GISc) has established itself as a collaborative information-processing scheme that is increasing in popularity. Yet, this interdisciplinary and/or transdisciplinary system is still somewhat misunderstood. This book talks about some of the GISc domains encompassing students, researchers, and common users. Chapters focus on important aspects of GISc, keeping in mind the processing capability of GIS along with the mathematics and formulae involved in getting each solution. The book has one introductory and eight main chapters divided into five sections. The first section is more general and focuses on what GISc is and its relation to GIS and Geography, the second is about location analytics and modeling, the third on remote sensing data analysis, the fourth on big data and augmented reality, and, finally, the fifth looks over volunteered geographic information.info:eu-repo/semantics/publishedVersio

Trend Mining

In terms of Information Retrieval (IR), a trend is defined as a topic area that is growing in interest and utility over time. An example of a trend would thus be the general topic financial crisis that started to appear on the market in late 2007 and early 2008, or the Arab Spring that started to appear on the news in 2011. Several approaches based on methods from text mining and machine learning can be successfully applied to the problem of mining trends in text collections. Among others, the most popular are probabilistic topic models and diverse clustering methods. The weakness of the existing research in automatic trend detection in texts lies in: 1\. inconsistency in the definition of a trend 2\. lack of a general scientific approach for trend mining 3\. lack of the integration of explicit knowledge and therefore the difficulty in the interpretation of algorithm's results. The scientific contribution of this research is contained in the suggestion to deal with the trend detection from the perspective of trend mining that is being defined here. As a solution for the problem of difficulty in the interpretation of the results from the common trend detection techniques, this research proposes the trend template that is a knowledge-based trend mining approach. Based on this trend template, two directions of implementation are introduced: trend ontology and trend-indication (the trend weighting method). The trend ontology works as an a-priori model and enables the discovery of a trend structure in the web documents corpus. Tests with this method on a test corpus show that mining trends with an a-priori model while integrating explicit knowledge leads to a better quality of results considering their interpretability. The trend-indication approach is based on time-incorporating weighting methods for selection of trend features from web documents. It enables the reduction of features that are considered in the process of trend mining, and therefore reduces the data so that only time-relevant information is considered for further analysis. This method's results on our web document corpus show that time-based weighting functions alone can help in discovering trend-relevant features. Both the trend ontology and the trend-indication approaches are implemented in the tremit tool (TREnd MIning Tool), a test tool developed for this thesis, and are tested on a test corpus. The test corpus consists of 35,635 business news and 4,696 DAX (Deutscher Aktienindex - German stock market) reports from German web sites in a late 2007 and early 2008. The results are compared with the standard method results of a LDA-based topic model and the k-means clustering algorithm on the same test corpus. Discussion of the results is contained in the experimental part of the thesis.Ein Trend im Kontext des Information Retrievals (IR) ist ein Themengebiet, das über einen Zeitraum an Nutzwert und Interesse gewinnt, wie z. B. das allgemeine Thema Finanzkrise im Zeitraum 2008-2012 oder Arabischer Frühling im Zeitraum 2010-2011. Es gibt Verfahren, verankert in Bereichen des Data Minings, Text Minings und des Maschinellen Lernens, die zur Lösung des Problems der Trenderkennung in Texten herangezogen werden. Zu den oft verwendeten gehören die probabilistischen Topic Models sowie verschiedene Clusteringverfahren. Die Schwachstellen der existierenden Forschung über automatische Trenderkennung in Texten liegen in: 1\. inkonsistenten Definitionen des Trends 2\. fehlendem wissenschaftlichen Ansatz des Trend Mining 3\. fehlendem Bezug zum expliziten Wissen und damit schlechter Interpretierbarkeit der Ergebnisse Der wissenschaftliche Beitrag dieser Arbeit besteht in dem Vorschlag, die Forschung zur automatischen Trenderkennung aus der Sicht des Trend Mining zu betrachten, dessen Definition in dieser Arbeit vorgeschlagen wird. Als Lösung für das Problem der schlechten Interpretierbarkeit der Ergebnisse von gängigen Trenderkennungsalgorithmen wird trend template vorgeschlagen, das ein wissensbasierter Ansatz für trend mining ist. Ausgehend von diesem trend template werden zwei Implementierungsrichtungen gezeigt: die Trendontologie und das Trend- Indication-Verfahren. Die Trendontologie funktioniert nach dem Prinzip eines A -priori-Modells und ermöglicht die Entdeckung einer Trendstruktur in dem Webdokumentenkorpus. Tests mit diesem Verfahren auf dem Testkorpus zeigen, dass Trenderkennung mit einem A-priori-Modell unter Einbezug von explizitem Wissen, zu qualitativ besseren Ergebnissen, vor allem in Hinsicht auf die Interpretierbarkeit, führt. Das Trend-Indication-Verfahren baut auf den zeitbasierten Gewichtungsfunktionen auf und konzentriert sich auf die Selektion der Trend Features aus den Webdokumenten. Mithilfe dieses Verfahrens wird die Dimension der zu untersuchenden Daten im Hinblick auf die Trenderkennung sinnvoll reduziert und somit nur die zeitrelevante Information aus den Texten für weitere Analysen bereitgestellt. Die Tests mit diesem Verfahren zeigen, dass zeitrelevante Trendbegriffe alleine durch geeignete Gewichtungsfunktionen gut aufgedeckt werden. Beide Methoden werden in dem tremit (TREnd MIning Tool), das für diese Arbeit entwickelte Testtool, implementiert und auf dem Testkorpus getestet. Der Testkorpus besteht aus 35.635 Wirtschaftsnachrichten und 4.696 DAX-Berichten des deutschsprachigen Webs aus dem Zeitraum September 2007 bis April 2008. Die Ergebnisse werden mit den Ergebnissen der gängigen Verfahren - LDA-basiertem Topic Model und k-means Clustering - auf dem gleichen gleichen Korpus verglichen und im Experimentierteil der Arbeit diskutiert und evaluiert

Understanding Addiction

The addiction literature is fraught with conceptual confusions, stalled debates, and an unfortunate lack of clear and careful attempts to delineate the phenomenon of addiction in a way that might lead to consensus. My dissertation has two overarching aims, one metaphysical and one practical. The first aim is to defend an account of addiction as the systematic disposition to fail to control one’s desires to engage in certain types of behaviors. I defend the inclusion of desires and impaired control in the definition, and I flesh out the notion of systematicity central to my dispositionalist framework. I engage the so-called ‘disease vs. choice’ debate, criticizing its presupposition that we are dealing here with a dichotomy and arguing that the movement towards a middle ground is the right track to take. I explain how the dispositionalist account can capture this middle ground and how it serves to expand upon existing views, in particular by filling in the metaphysical details. The second aim is to show how the account I defend can help to unify the extant views and disciplinary perspectives in the literature. Both the dispositionalist aspect of my framework and the methodology adopted (applied ontology and systematic metaphysics) can move the literature towards both substantive and methodological unification. This will help to clear up conceptual confusions, resolve (or sometimes dissolve) apparently intractable disputes, situate different research perspectives with respect to each other, facilitate interdisciplinary dialogue, and help to frame important questions about addiction. Finally, I offer the beginnings of an ontology of addiction, which will provide a terminologically well-structured guide to the addiction literature in a way that will facilitate more effective and efficient communication and data management across disciplines

The electronic patient record: a linguistic ethnographic study in general practice

PhDElectronic Patient Records (EPRs) are in widespread use in UK general practice. Although often taken-for-granted by clinicians, managers, administrators and patients, there is limited understanding of how EPRs shape care processes and healthcare interactions in this setting. The EPR is ubiquitous in practice, but its social impact remains under-researched. In this thesis I present a novel approach to examining the role of the EPR, which draws on ethnography and discourse analysis. My work is based on eight months of ethnographic observation in clinical and administrative areas of two general practices. This included observation of clinical consultations, with videorecording of the interpersonal interaction and contemporaneous screen capture of the EPR. This opens up the ‘EPR-in-use’ to detailed scrutiny. In my analysis, which draws particularly on the theoretical work of Goffman and Bakhtin, I pay close attention to the detail of local action and interaction, whilst maintaining sensitivity to the wider context of the general practice organisation. This makes an original contribution to the emerging field of linguistic ethnography. My analysis shows that the EPR contributes to shaping and regimenting interactions and care practices in profound ways, both within the consultation and more widely in general practice organisations. It creates new opportunities, but also creates new demands and tensions. In particular, it sharpens the tension between different ways of framing the patient – the patient as ‘individual’ and the patient as ‘one of a population’ – the latter a more institutional version of the patient. This creates what I have called a ‘dilemma of attention’ for clinicians engaged in patient care. I show ways in which the EPR contributes to the bureaucratisation of care, the construction and circulation of authority within and beyond the consultation, and the production of new notions of patienthood and professional habitus in contemporary general practice

Lost in technology: Towards a critique of repugnant rights

Modern law is founded on an idea of justice that is made felt through rights and entitlements legal subjects enjoy. As such, for law and its idea of justice, rights are inherently good and therefore abundant. On encounter with injustice, it has become commonplace to inquire what laws and rights have been flouted, as if injustice would disappear in encounter with rights that encode justice. But what if no number of laws and rights – even with faultless execution – is up for the task of upholding what we deem just? In this dissertation, I look at the heart of this question, and find the law’s answer not simply wanting but repugnant. The research is animated by interaction of three topoi: personhood, technology, and international law. The first part concerns how these concepts are perceived in law and by those working with laws. As part of the unearthing of the conceptual ground rules, a trilemma between effectiveness, responsiveness, and coherence familiar from regulatory research and international law rears its head. I show how setting the priority on effective and responsive solutions has amounted to derogation of justice and diminishment of law’s foundational entity, a natural person. I explore whether these outcomes could be avoided within liberal international law and answer my own question on the negative. I title this systematic outcome a theory of repugnant rights. The latter part of the dissertation concerns technology, its regulation, and tendency to produce repugnant outcomes in international law. I focus on bio- and information technologies and their legal coding as tools to dismantle legal protection provided by our quality of being human. I will show how intricate legal norms break and remake us in ways that blur the boundaries between persons and things. Once something falls beyond or below the category of a person, its legal status can be warped, twisted, and turned – all while remaining at arm’s length from the person it was once legally part of. Technological intervention to such things allows for effective circumvention of legal shelter provided by human rights, as I show through example of regulation of surrogacy and data storage. To come to terms with the repugnancy, I seek shelter from anger as a transitory category that would enable us to move across the present impasse with rights. I suggest that at the very least international lawyers ought to be angry at quotidian horrors international law upholds. And through such anger overcome the misery and repugnancy of international law.--- Moderni oikeus pohjaa ajatukseen oikeudenmukaisuudesta, joka ilmenee oikeussubjektien nauttimien ja käyttämien oikeuksien välityksellä. Näin ymmärrettynä oikeuden ja sen omaaman oikeudenmukaisuuden käsityksen kannalta oikeudet ovat itseisarvoisesti hyviä, mikä selittää niiden suuren määrän. Kun kohtaamme epäoikeudenmukaisuutta tapaamme kysyä, mitä lakeja ja oikeuksia on loukattu, ikään kuin epäoikeudenmukaisuus kaikkoaisi sen kohdatessa oikeuden sisältämän oikeudenmukaisuuden idean. Mutta entä jos mikään määrä lakeja ja oikeuksia – edes täydellisesti täytäntöönpantuna – ei riitä puolustamaan oikeudenmukaisena pitämäämme? Väitöskirjassani kurkistan tämän kysymyksen ytimeen ja löydän vastauksen, joka ei ole ainoastaan riittämätön vaan myös vastenmielinen. Väitöksessäni operoin oikeushenkilön, teknologian ja kansainvälisen oikeuden rajapinnoilla. Väitökseni ensimmäinen osa koskee sitä, kuinka oikeuden ja lakien parissa työskentelevät mieltävät nämä käsitteet. Näiden käsitteiden tarkastelun yhteydessä havaitsen sääntelytutkimuksesta ja kansainvälisestä oikeudesta tutun tehokkuuden, responsiivisuuden ja johdonmukaisuuden välisen trilemman. Osoitan, miten tehokkaiden ja responsiivisten ratkaisujen asettaminen etusijalle on merkinnyt lipeämistä oikeudenmukaisuudesta ja samalla oikeuden keskeisen subjektin, luonnollisen henkilön, merkityksen pienentymistä. Tutkin, voitaisiinko tämä trilemma välttää liberaalin kansainvälisen oikeuden puitteissa, ja vastaan omaan kysymykseeni kielteisesti. Nimeän tämän tuloksen vastenmielisten oikeuksien teoriaksi. Väitöskirjan jälkimmäinen osa käsittelee teknologiaa, sen säätelyä ja sen taipumusta tuottaa vastenmielisiä lopputuloksia kansainvälisessä oikeudessa. Tarkastelen lähemmin bio- ja informaatioteknologioita ja niiden oikeudellista sääntelyä, sekä sitä millaisia välineitä ne tarjoavat ihmisyyden tarjoaman oikeudellisen suojan purkamiseen. Osoitan kuinka monimutkaiset oikeudelliset normit rikkovat ja muokkaavat meitä tavoilla, jotka hämärtävät ihmisten ja asioiden välisiä rajoja. Kun jokin ei ole enää henkilö, sen oikeudellista asemaa voidaan vääristää, vääntää ja kääntää. Teknologinen puuttuminen tällaisiin esineisiin ja asioihin mahdollistaa ihmisoikeuksien tarjoaman laillisen suojan tehokkaan kiertämisen, kuten osoitan sijaissynnytyksen ja datan tallennuksen sääntelyn kautta. Vastauksena oikeuden vastenmielisyydelle haen suojaa vihasta. Viha tarjoaa sellaisen tilapäisen kategorian, jonka avulla voimme välttää havaitsemani oikeuksien umpikujan. Katson, että kansainvälisen oikeuden harjoittajien olisi vähintäänkin oltava vihaisia kohdatessaan kansainvälisen oikeuden synnyttämiä ja mahdollistamia jokapäiväisiä kauhuja. Turvautumalla vihaan, jonka voimme myöhemmin asettaa sivuun, voisimme selättää kansainvälisen oikeuden surkeuden ja sen vastenmielisyyden

Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und Kontinuitätsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: Geschäftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

Biometrics

Biometrics uses methods for unique recognition of humans based upon one or more intrinsic physical or behavioral traits. In computer science, particularly, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance. The book consists of 13 chapters, each focusing on a certain aspect of the problem. The book chapters are divided into three sections: physical biometrics, behavioral biometrics and medical biometrics. The key objective of the book is to provide comprehensive reference and text on human authentication and people identity verification from both physiological, behavioural and other points of view. It aims to publish new insights into current innovations in computer systems and technology for biometrics development and its applications. The book was reviewed by the editor Dr. Jucheng Yang, and many of the guest editors, such as Dr. Girija Chetty, Dr. Norman Poh, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park, Dr. Sook Yoon and so on, who also made a significant contribution to the book