98 research outputs found

    SOMvisua: Data Clustering and Visualization Based on SOM and GHSOM

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    Text in web pages is based on expert opinion of a large number of people including the views of authors. These views are based on cultural or community aspects, which make extracting information from text very difficult. Search in text usually finds text similarities between paragraphs in documents. This paper proposes a framework for data clustering and visualization called SOMvisua. SOMvisua is based on a graph representation of data input for Self-Organizing Map (SOM) and Growing Hierarchically Self-Organizing Map (GHSOM) algorithms. In SOMvisua, sentences from an input article are represented as graph model instead of vector space model. SOM and GHSOM clustering algorithms construct knowledge from this article

    Cross-language Ontology Learning: Incorporating and Exploiting Cross-language Data in the Ontology Learning Process

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    Hans Hjelm. Cross-language Ontology Learning: Incorporating and Exploiting Cross-language Data in the Ontology Learning Process. NEALT Monograph Series, Vol. 1 (2009), 159 pages. © 2009 Hans Hjelm. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/10126

    Role of Semantic web in the changing context of Enterprise Collaboration

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    In order to compete with the global giants, enterprises are concentrating on their core competencies and collaborating with organizations that compliment their skills and core activities. The current trend is to develop temporary alliances of independent enterprises, in which companies can come together to share skills, core competencies and resources. However, knowledge sharing and communication among multidiscipline companies is a complex and challenging problem. In a collaborative environment, the meaning of knowledge is drastically affected by the context in which it is viewed and interpreted; thus necessitating the treatment of structure as well as semantics of the data stored in enterprise repositories. Keeping the present market and technological scenario in mind, this research aims to propose tools and techniques that can enable companies to assimilate distributed information resources and achieve their business goals

    "DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR BIOINFORMATICS. EXTRACTION OF PROTEIN COMPLEXES FROM A PROTEIN-PROTEIN INTERACTION NETWORK: A CASE STUDY"

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    Decision Support Systems and Workflow Management Systems have become essential tools for some business and scientific field. This thesis propose a new hybrid architecture for problem solving expertise and decision-making process, that aims to support high-quality research in the field of bioinformatics and system biology. The first part of the dissertation introduces the project to which belong this thesis work, i.e. the “Bioinformatics Organized Resources - an Intelligent System” (BORIS) project of the ICAR-CNR; the main goal of BORIS is to provide an helpful and effective support to researchers or experimentalist, that have no familiarity with tools and techniques to solve computational problems in bioinformatics and system biology. In the second part of the thesis, the proposed hybrid architecture is described in detail; it introduces a three-dimensional space for the BORIS system, where the viewpoints of declarative, procedural and process approaches are considered. Using the proposed architecture, the system is able to help the experimentalist choosing, for a given problem, the right tool at the right moment, to generate a navigable Workflow at different abstraction layers, extending current workflow management systems and to free the user from implementation details, assisting him in the correct configuration of algorithms/services. A case study about extraction of protein complexes from proteinprotein interaction networks is presented, in order to show how the system faces a problem and how it interacts with the user

    Discursive and Non-Discursive Design Processes

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    This research study investigates the hypothesis that Space Syntax plays a role in enhancing architectural design as a knowledge-based process by bringing the nondiscursive design process onto a discursive level, and by making explicit the logic of processing, evaluating, and reasoning about design. In order to establish an evidencebased argument for this hypothesis the study will scrutinize the performances and outcomes of architects solving a well-defined problem. The paper constructs the study on a literature background exploring the different theories which were concerned with the analysis and evaluation of design processes and outcomes. The analysis of design processes was investigated on micro and macro scales and the evaluation of solutions was considered in terms of spatial configurations and the social organization embodied in space. The research then goes on to apply some of these analytical studies to a set of design tasks made by architects who have a background in Space Syntax theory, and architects with other architectural backgrounds. The question then turns to the influence of Space Syntax theory on the strategies and cognitive actions of the design processes and the observational study will attempt to prove whether the knowledge of Space Syntax can have a positive effect on architects during their design process, taking into consideration that Space Syntax, as a morphic language, can render the non-discursive discursive of architecture. In the following step the design solutions are evaluated in terms of qualities regarding social organization, and in terms of quantities measuring the values of their spatial configurations. The analysis of the design processes and outcomes will show differences between the two groups of architects, in addition to some individual differences between the architects. Thus this research proves that the knowledge of space syntax may partially enhance the productivity of design process by making it more explicit

    Combining SOA and BPM Technologies for Cross-System Process Automation

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    This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

    The Augmented Learner : The pivotal role of multimedia enhanced learning within a foresight-based learning model designed to accelerate the delivery of higher levels of learner creativity

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    The central theme for this dissertation lies at the intersection of multisensory technology enhanced learning, the field of foresight and transformative pedagogy and their role in helping to develop greater learner creativity. These skills will be key to meeting the needs of the projected growing role of the creative class within the emerging global workforce structure and the projected growth in R&D and the advancement of human-machine resource management. Over the past two decades, we have traversed from the Industrial Age through the Information Age into what we now call postnormal times, manifested partly in Industry 4.0. It is widely considered that the present education system in countries with developed economies is not optimised for delivering the much-needed creative skills, which are prominent amongst the critical 21st C skills required by the creative class, (also known as creatives), which will be increasingly dominant in terms of near future employability. Consequently, there will be a potential shortfall of creatives unless this issue is rapidly addressed. To ensure that the creative skills I aimed to enhance were relevant and aligned with emerging demands of the changing landscape, I deconstructed the critical dimensions, context, and concept of creativity in postnormal times as well as undertaking in-depth research on the potential future workscape and the future of education and learning, applying a comprehensive foresight approach to the latter using a 2030-2040 horizon. Based upon the outcomes of these studies I designed an experimental integrative learning system that I have applied, researched, and evolved over the past 4 years with over 150 students at PhD and master’s level. The system is aimed at generating higher levels of creative engagement and development through a focus on increased immersion and creativity-inducing approaches. The system, which I call the Living Learning System, is based upon eight integrated elements, supported by course development pillars aimed at optimizing learner future skill competencies and levels of creativity for which I apply severalevaluation techniques and metrics. Accordingly, as the central hypothesis of this dissertation, I argue that by integrating the critical elements of the Living Learning System, such as emerging multisensory technology enhanced learning coupled with optimised transformative and experiential learning approaches, framed within the field of foresight, with its futures focus and decentralised thinking approaches, students increase their ability to be creative. This increased ability is based on the student attaining a richer level of personal ambience through deeper immersion generated through higher incidence of self-direction, constructivism-based blended pedagogy, futures literacy, and a balance of decentralised and systems-based thinking, as well as cognitive and social platforms aimed at optimizing learner creative achievement. This dissertation demonstrates how the application of the combined elements of the Living Learning System, with its futures focus and its ensuing transdisciplinary curricula and courses, can provide a clear path towards significantly increased learner creativity. The findings of the quantitative, questionnaire-based research set out in detail in Chapter 9, together with the performance and creativity evaluation models applied against the selected case studies of student projects substantiate the validity of the hypothesis that the application of the Living Learning System with its futures focus leads to increased creativity in line with the needs of the postnormal era.publishedVersio

    A framework for the analysis and evaluation of enterprise models

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    Bibliography: leaves 264-288.The purpose of this study is the development and validation of a comprehensive framework for the analysis and evaluation of enterprise models. The study starts with an extensive literature review of modelling concepts and an overview of the various reference disciplines concerned with enterprise modelling. This overview is more extensive than usual in order to accommodate readers from different backgrounds. The proposed framework is based on the distinction between the syntactic, semantic and pragmatic model aspects and populated with evaluation criteria drawn from an extensive literature survey. In order to operationalize and empirically validate the framework, an exhaustive survey of enterprise models was conducted. From this survey, an XML database of more than twenty relatively large, publicly available enterprise models was constructed. A strong emphasis was placed on the interdisciplinary nature of this database and models were drawn from ontology research, linguistics, analysis patterns as well as the traditional fields of data modelling, data warehousing and enterprise systems. The resultant database forms the test bed for the detailed framework-based analysis and its public availability should constitute a useful contribution to the modelling research community. The bulk of the research is dedicated to implementing and validating specific analysis techniques to quantify the various model evaluation criteria of the framework. The aim for each of the analysis techniques is that it can, where possible, be automated and generalised to other modelling domains. The syntactic measures and analysis techniques originate largely from the disciplines of systems engineering, graph theory and computer science. Various metrics to measure model hierarchy, architecture and complexity are tested and discussed. It is found that many are not particularly useful or valid for enterprise models. Hence some new measures are proposed to assist with model visualization and an original "model signature" consisting of three key metrics is proposed.Perhaps the most significant contribution ofthe research lies in the development and validation of a significant number of semantic analysis techniques, drawing heavily on current developments in lexicography, linguistics and ontology research. Some novel and interesting techniques are proposed to measure, inter alia, domain coverage, model genericity, quality of documentation, perspicuity and model similarity. Especially model similarity is explored in depth by means of various similarity and clustering algorithms as well as ways to visualize the similarity between models. Finally, a number of pragmatic analyses techniques are applied to the models. These include face validity, degree of use, authority of model author, availability, cost, flexibility, adaptability, model currency, maturity and degree of support. This analysis relies mostly on the searching for and ranking of certain specific information details, often involving a degree of subjective interpretation, although more specific quantitative procedures are suggested for some of the criteria. To aid future researchers, a separate chapter lists some promising analysis techniques that were investigated but found to be problematic from methodological perspective. More interestingly, this chapter also presents a very strong conceptual case on how the proposed framework and the analysis techniques associated vrith its various criteria can be applied to many other information systems research areas. The case is presented on the grounds of the underlying isomorphism between the various research areas and illustrated by suggesting the application of the framework to evaluate web sites, algorithms, software applications, programming languages, system development methodologies and user interfaces

    Avenues for corporate sustainability management: guiding SMEs in their strategic journey towards a sustainable long-term growth

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    L'impatto potenziale delle piccole e medie imprese (PMI) sullo sviluppo sostenibile globale è considerevole e deve derivare da un programma di responsabilità e sostenibilità d’impresa (RSI) strutturato internamente. Questo, tuttavia, non è un compito facile, data, da un lato, l'esistenza di barriere interne che caratterizzano le operazioni delle PMI e, dall'altro, le due nuove sfide mondiali emergenti dell'accelerazione digitale e della crisi derivante dall'emergenza pandemica da Covid-19. Inoltre, queste due questioni globali si rafforzano a vicenda e mettono le PMI in una situazione rischiosa in termini di continuità. Ma anche la sostenibilità d'impresa, che sta diventando sempre più una leva strategica di cui ci si aspetta che le aziende di tutte le dimensioni si avvalgano, presenta rischi simili. È in questo contesto che la tesi cerca di trovare delle soluzioni alle barriere interne e alle sfide esterne che impediscono alle PMI di diventare leader di successo del movimento per lo sviluppo sostenibile. Gli elementi di resilienza alla crisi, coordinamento delle attività di RSI e reporting, digitalizzazione e leadership sembrano avere la capacità intrinseca di guidare lo sviluppo sostenibile di un'azienda nel lungo termine. Tuttavia, per realizzare ciò, devono essere gestiti mediante procedure sistematiche e diventare parte del quadro strategico della sostenibilità all'interno delle aziende. Lo scopo di questa tesi è, dunque, quello di analizzare ciascuno di questi aspetti che sono strettamente legati al tema della sostenibilità aziendale (fornendo output che potrebbero supportare le aziende nel loro percorso di transizione verso la sostenibilità), e che le PMI oggi trovano difficili da affrontare perché il contesto in cui operano diventa sempre più complesso e iniziano a formarsi dei divari tra ciò che ci si aspetta dall’operatività delle PMI e la loro effettiva capacità. La struttura della tesi è composta da quattro capitoli che seguono una prospettiva macro-micro e ogni capitolo adotta una metodologia di ricerca diversa per esplorare gli elementi sopra menzionati. I risultati possono essere utilizzati principalmente dalle aziende che cercano di avviare o migliorare un programma esistente di gestione della sostenibilità. Nonostante il progetto di ricerca sia principalmente rivolto alle PMI, poiché le best practice analizzate sono state principalmente quelle delle grandi aziende, anche queste ultime potranno dunque trarre ispirazione per le loro operazioni di sostenibilità. Per quanto riguarda le PMI, il vantaggio principale sarebbe quello di trovare soluzioni per evitare che le loro barriere interne e le questioni mondiali ne compromettano la capacità di impegno verso un approccio di CSR correttamente strutturato.The potential impact of small-medium enterprises (SMEs) on the global sustainable development is considerable and must stem from an internally structured corporate sustainability and responsibility (CSR) program. This, however, is no easy task, given, on one hand, the existence of internal barriers that characterize SME operations, and on the other, the two newly emerging world-wide challenges of digital acceleration and the crisis resulting from the Covid-19 pandemic. Moreover, these two global matters are mutually reinforcing and put SMEs in a risky situation in terms of continuity. But so does corporate sustainability, which is increasingly becoming a strategic lever that companies of all sizes are expected to make use of. It is within this context that the thesis seeks to find solutions to the internal barriers and external challenges that prevent SMEs from successfully becoming the leaders of the sustainable development movement. The elements of resilience to crisis, coordination of CSR activities and reporting, digitalization, and leadership all seem to have the intrinsic ability to guide the sustainable development of a company in the long term. However, to do so, they must be managed through systematic procedures and become part of the sustainability strategic framework within companies. The aim of this thesis is, thus, to analyze each of these aspects that closely relate to the topic of corporate sustainability (providing outputs that could support companies in their sustainability transition journey), and which SMEs nowadays find difficult to deal with because the context in which they operate becomes increasingly complex and gaps begin to form between what is expected of them and their actual capacity. The structure of the thesis consists of four chapters that follow a macro-micro perspective, each chapter adopting a different research methodology to focus on the above-mentioned elements. The results can be of use mainly by the companies seeking to initiate or improve and existing sustainability management program. Despite the research project being primarily targeted at SMEs, since the best practices analyzed have been mainly those of larger corporations, the latter will also be able to receive some inspiration for their sustainability operations. As for SMEs, the main advantage would be to find solutions to prevent their internal barriers and worldwide issues tamper their ability to engage in a correctly structured CSR approach
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