Korpusdokumentation wird in dieser Arbeit als eine Voraussetzung für die Wiederverwendung von Korpora und als ein Bestandteil des Forschungsdatenmanagements verstanden, welches unter anderem die Veröffentlichung und Archivierung von Korpora umfasst. Verschiedene Forschungsdaten stellen ganz unterschiedliche Anforderungen an die Dokumentation und können auch unterschiedlich wiederverwendet werden. Ein geeignetes Anwendungsbeispiel stellen historische Textkorpora dar, da sie in vielen Fächern als empirische Grundlage für die Forschung genutzt werden können. Sie zeichnen sich im Weiteren durch vielfältige Unterschiede in ihrer Aufbereitung und durch ein komplexes Verhältnis zu der historischen Vorlage aus. Die Ergebnisse von Transkription und Normalisierung müssen als eigenständige Repräsentationen und Interpretationen im Vergleich zur Vorlage verstanden werden. Was müssen Forscherinnen und Forscher über ihr Korpus mit Hilfe von Metadaten dokumentieren, um dessen Erschließung und Wiederverwendung für andere Forscherinnen und Forscher zu ermöglichen? Welche Funktionen übernehmen dabei die Metadaten? Wie können Metadaten modelliert werden, um auf alle Arten von historischen Korpora angewendet werden zu können? Die Arbeit und ihre Fragestellung sind fest in einem interdisziplinären Kontext verortet. Für die Beantwortung der Forschungsfragen wurden Erkenntnisse und Methoden aus den Fachbereichen der Korpuslinguistik, der historischen Linguistik, der Informationswissenschaft sowie der Informatik theoretisch und empirisch betrachtet und für die Entwicklung eines Metamodells für Korpusmetadaten fruchtbar gemacht. Das im Rahmen dieser Arbeit in UML entwickelte Metamodell für Korpusmetadaten modelliert Metadaten von historischen textbasierten Korpora aus einer technisch-abstrakten, produktorientierten und überfachlichen Perspektive und ist in einer TEI-Spezifikation mit Hilfe der TEI-eigenen Modellierungssprache ODD realisiert. / Corpus documentation is a requirement for enabling corpus reuse scenarios and is a part of research data management which covers, among others, data publication and archiving. Different types of research data make differing demands on corpus documentation, and may be reused in various ways. Historical corpora represent an interesting and challenging use case because they are the foundation for empirical studies in many disciplines and show a great variety of reuse possibilities, of data creation, and of data annotation. Furthermore, the relation between the historical corpus and the historical original is complex. The transcription and normalisation of historical texts must be understood as independent representations and interpretations in their own right. Which kind of metadata information, then, must be included in a corpus documentation in order to enable intellectual access and reuse scenarios? What kind of role do metadata play? How can metadata be designed to be applicable to all types of historical corpora? These research questions can only be addressed with help of an interdisciplinary approach, considering findings and methods of corpus linguistics, historical linguistics, information science and computer science. The metamodel developed in this thesis models metadata of historical text-based corpora from a technical, abstract, and interdisciplinary point of view with help of UML. It is realised as a TEI-specification using the modelling language ODD.

O uso de abordagens de predição de mudanças conjuntas auxilia os desenvolvedores a encontrar artefatos que mudam conjuntamente em uma tarefa. No passado, pesquisadores utilizaram análise estrutural para construir modelos de predição. Mais recentemente, têm sido propostas abordagens que utilizam informações históricas e análise textual do código fonte. Apesar dos avanços obtidos, os desenvolvedores de software ainda não usam essas abordagens amplamente, presumidamente por conta do número de falsos positivos. A hipótese desta tese é que informações contextuais obtidas das tarefas, da comunicação dos desenvolvedores e das mudanças dos artefatos descrevem as circunstâncias e condições em que as mudanças conjuntas ocorrem e podem ser utilizadas para realizar a predição de mudanças conjuntas. O objetivo desta tese consiste em avaliar se o uso de informações contextuais melhora a predição de mudanças conjuntas entre dois arquivos em relação às regras de associação, que é uma estratégia frequentemente usada na literatura. Foram construídos modelos de predição específicos para cada par de arquivos, utilizando as informações contextuais em conjunto com o algoritmo de aprendizagem de máquina random forest. Os modelos de predição foram avaliados em 129 versões de 10 projetos de código aberto da Apache Software Foundation. Os resultados obtidos foram comparados com um modelo baseado em regras de associação. Além de avaliar o desempenho dos modelos de predição também foram investigadas a influência do modo de agrupamento dos dados para construção dos conjuntos de treinamento e teste e a relevância das informações contextuais. Os resultados indicam que os modelos baseados em informações contextuais predizem 88% das mudanças corretamente, contra 19% do modelo de regras de associação, indicando uma precisão 3 vezes maior. Os modelos criados com informações contextuais coletadas em cada versão do software apresentaram maior precisão que modelos construídos a partir de um conjunto arbitrário de tarefas. As informações contextuais mais relevantes foram: o número de linhas adicionadas ou modificadas, número de linhas removidas, code churn, que representa a soma das linhas adicionadas, modificadas e removidas durante um commit, número de palavras na descrição da tarefa, número de comentários e papel dos desenvolvedores na discussão, medido pelo valor do índice de intermediação (betweenness) da rede social de comunicação. Os desenvolvedores dos projetos foram consultados para avaliar a importância dos modelos de predição baseados em informações contextuais. Segundo esses desenvolvedores, os resultados obtidos ajudam desenvolvedores novatos no projeto, pois não têm conhecimento da arquitetura e normalmente não estão familiarizados com as mudanças dos artefatos durante a evolução do projeto. Modelos de predição baseados em informações contextuais a partir de mudanças de software são relativamente precisos e, consequentemente, podem ser usados para apoiar os desenvolvedores durante a realização de atividades de manutenção e evolução de software / Co-change prediction aims to make developers aware of which artifacts may change together with the artifact they are working on. In the past, researchers relied on structural analysis to build prediction models. More recently, hybrid approaches relying on historical information and textual analysis have been proposed. Despite the advances in the area, software developers still do not use these approaches widely, presumably because of the number of false recommendations. The hypothesis of this thesis is that contextual information of software changes collected from issues, developers\' communication, and commit metadata describe the circumstances and conditions under which a co-change occurs and this is useful to predict co-changes. The aim of this thesis is to use contextual information to build co-change prediction models improving the overall accuracy, especially decreasing the amount of false recommendations. We built predictive models specific for each pair of files using contextual information and the Random Forest machine learning algorithm. The approach was evaluated in 129 versions of 10 open source projects from the Apache Software Foundation. We compared our approach to a baseline model based on association rules, which is often used in the literature. We evaluated the performance of the prediction models, investigating the influence of data aggregation to build training and test sets, as well as the identification of the most relevant contextual information. The results indicate that models based on contextual information can correctly predict 88% of co-change instances, against 19% achieved by the association rules model. This indicates that models based on contextual information can be 3 times more accurate. Models created with contextual information collected in each software version were more accurate than models built from an arbitrary amount of contextual information collected from more than one version. The most important pieces of contextual information to build the prediction models were: number of lines of code added or modified, number of lines of code removed, code churn, number of words in the discussion and description of a task, number of comments, and role of developers in the discussion (measured by the closeness value obtained from the communication social network). We asked project developers about the relevance of the results obtained by the prediction models based on contextual information. According to them, the results can help new developers to the project, since these developers have no knowledge about the architecture and are usually not familiar with the artifacts history. Thus, our results indicate that prediction models based on the contextual information are useful to support developers during the maintenance and evolution activities

Effective e-records management is considered an integral part for successful implementation of e-government. While many previous studies have been carried out on e-government implementation, few investigated e-records management in supporting successful implementation of e-government in Tanzania with a view to developing the best framework. The specific objectives of the study were to: determine e-records readiness in the Tanzania Public Service; assess e-government implementation status in the Tanzania Public Service; establish the effectiveness of existing e-records legal, policy and regulatory framework in support of e-government; determine the e-records knowledge and skills of staff in the Public Service; find out the extent to which the National Archives (RAMD) is involved in the management of e-records and e-government implementation in the Public Service; and to develop a framework for the management of e-records and e-government implementation. The study based on interpretive research paradigm and adopted qualitative research method. A sample size of 50 respondents was drawn from four public offices namely: the Ministry of Public Service (PO-PSM), Tanzania Communications Regulatory Authority (TCRA), E-Government Agency (e-GA) and the Records and Archives Management Department (RAMD). Data was collected through interviews and personal observation and was analysed using thematic analysis. Findings revealed that although there is evidence of availability and use of e-records across government institutions in Tanzania, the e-records readiness and efficiency levels in support of e-government were low; the management of e-records is not yet streamlined to the majority registries; and e-Government implementation maturity level is low. Findings revealed that although there is evidence of availability and use of e-records across government institutions in Tanzania, the e-records readiness and efficiency levels in support of e-government were low; the management of e-records is not yet streamlined to the majority registries; and e-Government implementation maturity level is low. Further findings indicated that the existing legislations, policies and regulations are inadequate and ineffective particularly on matters relating to e-records management and e-government implementation; records personnel, action officers and IT staff were not conversant with procedures and practices of e-records management; and that, there is poor involvement of RAMD in ERM a situation that slows down implementation e-government. The study concluded that, the current practices for managing electronic records in support of e-government implementation in Tanzania were inadequate. Even the existing national e-government strategy does not incorporate the management of electronic records as an important aspect towards successful implementation of e-government in the country. The study has recommended a framework for effective management of e-records in support of e-government implementation; e-records management training for records personnel, IT staff and secretaries; development of RAMD website; identification of ERM software specifications; customization of ISO standards to suit Tanzanian environment; amendment of the existing Archival legislation; and benchmarking from successful governments. / Information Science / D. Litt. et Phil.(Information Science)

This thesis examines the roles of the New Zealand university in a knowledge society. Gaps in the literature of the New Zealand university in a contemporary context mean that the enquiry is informed by European and North American discussions of the educational requirements of a knowledge society. As the notions of the knowledge society and a liberal university education are both problematic and central to this enquiry, they are interrogated, in the second chapter, in some depth. A second review examines the work, recommendations and subsequent legislative outcomes of the Tertiary Education Advisory Commission (TEAC) policy process of 1999 to 2003. The principles of critical theory and critical policy scholarship inform these interpretative textual analyses. The two review chapters, which follow the introductory chapter, comprise the first part of the thesis. A description of the methodological framework employed throughout the project and a report of the findings of a survey of stakeholders follow. The discussion chapter comprises the third and final part of the thesis. The thesis seeks to distinguish the notion of the knowledge society from that of the neo-liberal approach to social and economic management. I argue that the notion of the knowledge society is viable in a range of socio-economic conditions. I suggest that the educational requirements of a knowledge society are better addressed when the scope of a university education is framed by holistic individual, social, and economic determinants, rather than rigid ideological imperatives such as those characteristic of neo-liberalism. A combination of qualitative and quantitative methodologies is employed. Primary data are gathered by way of a postal questionnaire. The perceptions of three cohorts of stakeholders of the New Zealand university are analysed using both statistical and interpretative tools. Data gathered through a review of the literature of the university in relation to the notion of the knowledge society in New Zealand, North America, and various European contexts are analysed using a combination of critical and interpretive approaches. The major finding to emerge from the enquiry is that stakeholders of the New Zealand university associate an effective university education with breadth of learning. The notion of a liberal university education, with its attendant beyond-vocation curriculum assumptions, is not considered anachronistic by the majority of stakeholders surveyed during this project. Public and private sector employers and university students strongly associate a liberal university education with effective preparation for participation in a knowledge-intensive environment. Year 13 secondary students are less certain. A secondary finding is that most stakeholders consider that the research activities of the university academic should continue to inform university teaching, but that the teaching role is of growing importance, and therefore worthy of greater emphasis, in the context of a knowledge society. The project is intended to provoke further discussion around the relationship between the New Zealand university and the knowledge society. To date there has been little academic consideration of this relationship. The contribution of this thesis, relative to this gap, is therefore significant.

<p>For researches in the field of the data mining and machine learning the necessary condition is an availability of various input data set. Now researchers create the databases of such sets. Examples of the following systems are: The UCI Machine Learning Repository, Data Envelopment Analysis Dataset Repository, XMLData Repository, Frequent Itemset Mining Dataset Repository. Along with above specified statistical repositories, the whole pleiad from simple filestores to specialized repositories can be used by researchers during solution of applied tasks, researches of own algorithms and scientific problems. It would seem, a single complexity for the user will be search and direct understanding of structure of so separated storages of the information. However detailed research of such repositories leads us to comprehension of deeper problems existing in usage of data. In particular a complete mismatch and rigidity of data files structure with SDMX - Statistical Data and Metadata Exchange - standard and structure used by many European organizations, impossibility of preliminary data origination to the concrete applied task, lack of data usage history for those or other scientific and applied tasks.</p><p>Now there are lots of methods of data miming, as well as quantities of data stored in various repositories. In repositories there are no methods of DM (data miming) and moreover, methods are not linked to application areas. An essential problem is subject domain link (problem domain), methods of DM and datasets for an appropriate method. Therefore in this work we consider the building problem of ontological models of DM methods, interaction description of methods of data corresponding to them from repositories and intelligent agents allowing the statistical repository user to choose the appropriate method and data corresponding to the solved task. In this work the system structure is offered, the intelligent search agent on ontological model of DM methods considering the personal inquiries of the user is realized.</p><p>For implementation of an intelligent data and metadata exchange repository the agent oriented approach has been selected. The model uses the service oriented architecture. Here is used the cross platform programming language Java, multi-agent platform Jadex, database server Oracle Spatial 10g, and also the development environment for ontological models - Protégé Version 3.4.</p>

Vortrag im Rahmen der Open Access Tage 2013, Session "Rechtliche Aspekte des Open Access": Bereits in der „Budapest Open Access Initiative“, dem „Bethesda Statement on Open Access Publishing“ und der „Berliner Erklärung über offenen Zugang zu wissenschaftlichem Wissen“ wird die rechtliche Dimension von Open Access deutlich: Wissenschaftliche Werke sollen nicht nur zugänglich sondern nach nachnutzbar sein. Bei der Umsetzung des Grünen Weges des Open Access kann diese Nachnutzung nur selten umgesetzt werden, da wissenschaftliche AutorInnen im Rahmen von „Copyright Transfer Agreements“ mehrheitlich ausschließliche Nutzungsrechte an Verlage übertragen. Das sich in der politischen Diskussion befindliche Zweitveröffentlichungsrecht würde wissenschaftliche AutorInnen die rechtssichere Zugänglichmachung ihrer Werke auf Repositorien gewähren und damit einen wichtigen Beitrag zur Förderung von Open Access leisten. Vor dem Hintergrund der anhaltenden Diskussion um ein wissenschaftsfreundliches Urheberrecht und der Verankerung eines unabdingbaren Zweitveröffentlichungsrechts widmet sich die Session den rechtlichen Aspekten von Open Access. Referiert und diskutiert werden u.a. die Chancen und Herausforderungen von nicht-exklusiven Verwertungsgesellschaften im Wissenschaftsbereich sowie der Stand und die Perspektive des Zweitveröffentlichungsrechts. Darüber hinaus wird die praktische Umsetzung des Grünen Weges betrachtet: Am Beispiel der SLUB Dresden und dem DINI-Zertifikat 2013 wird der Umgang mit rechtliche Fragestellungen skizziert und mit den TeilnehmerInnen diskutiert. Vortrag 1 C3S: Cultural Commons Collecting Society – auch ein Modell für den Textbereich? Michael Weller (Europäische EDV-Akademie des Rechts, Merzig/Saar) Vortrag 2 Neues gesetzliches Zweitveröffentlichungsrecht – Update zu den Anforderungen an Bibliotheken und Wissenschaftseinrichtungen Thomas Hartmann (Max Planck Digital Library, München) Vortrag 3 Rechteklärung für OA-Zweitveröffentlichungen – das Serviceangebot der SLUB Dresden Elena Di Rosa (Sächsische Landesbibliothek - Staats- und Universitätsbibliothek, Dresden) Vortrag 4 DINI-Zertifikat 2013 – Neuerungen im Abschnitt Rechtliche Aspekte Michaela Voigt (Sächsische Landesbibliothek - Staats- und Universitätsbibliothek, Dresden)

Pagrindinis informacinių technologijų (IT) naudojimo mokymuisi tikslas – didinti mokymosi kokybę ir efektyvumą, lengvinti besimokančiojo ir mokytojo darbą. Galima išskirti dvi IT taikymo ugdymui kryptis: 1) kai naudojant IT siekiama gerinti tradicinius metodus 2) kai sukuriami nauji metodai, kuriuos taikyti įmanoma tik naudojant IT. Abiem atvejais svarbus mokytojų gerosios patirties dalijimasis, mokymosi metodų įvaldymas. Disertacinis darbas skirtas metodinių išteklių ir mokymosi metodų naudojimo problemoms, kylančioms dėl informacijos nepakankamumo mokymosi objektų (MO) metaduomenų saugyklose, spręsti. Išanalizuoti ir palyginti pagrindiniai MO metaduomenų standartų modeliai, naudojami skaitmeniniams mokymosi ištekliams formaliuoju būdu aprašyti. Ištirti MO metaduomenų standartų taikymo modelių sudarymo moksliniai ir praktiniai principai. Išanalizuoti turinio MO kūrimo modeliai, kurie užtikrina MO suderinamumą. Atliktas empirinis tyrimas leido nustatyti tolesnę tyrimo kryptį ir turėjo įtakos išplėsto MO metaduomenų taikomojo modelio kūrimui. Metaduomenų taikomojo modelio projektavimo procesą sudaro šie etapai: 1) metodinių išteklių ir mokymosi metodų objektų aprašančių metaduomenų elementų aibių išskyrimas; 2) valdomųjų žodynų, skirtų metaduomenų elementams aprašyti, formavimas siekiant užtikrinti metaduomenų suderinamumą; 3) metodinių išteklių ir mokymosi metodų objektų aprašančių metaduomenų lyginamoji analizė; 4) išplėsto MO metaduomenų modelio išbaigimas ir diegimas... [toliau žr. visą tekstą] / The key aim of using information technology (IT) in learning is to increase the learning quality and efficiency, to facilitate a learner’s and a teacher’s work. We can distinguish two main directions of IT application in training: (1) if applying IT we strive to improve the traditional methods; (2) if new methods are developed that are applicable only if IT is used. In both cases, sharing the good experience of teachers and mastering of the learning methods are of great importance. The research work is meant for solving the problems of using methodological resources and learning methods, which arise due to insufficiency of information in the metadata repositories of learning object (LO). The main models of LO metadata standards, used to describe digital learning resources in a formal way, have been analyzed and compared. Scientific and practical principles for applied model design of LO metadata standards have been explored. The content LO developing models that ensure LO compatibility have been considered. The empirical research performed enabled us to determine a further trend of research and influenced the creation of an extended LO metadata applied model. The design process of a metadata applied model consists of the following phases: 1) determination of sets of metadata elements that describe methodological resources and learning method objects, 2) composition of controlled vocabularies, aimed at description of metadata elements, with a view to ensure the compatibility... [to full text]

The key aim of using information technology (IT) in learning is to increase the learning quality and efficiency, to facilitate a learner’s and a teacher’s work. We can distinguish two main directions of IT application in training: (1) if applying IT we strive to improve the traditional methods; (2) if new methods are developed that are applicable only if IT is used. In both cases, sharing the good experience of teachers and mastering of the learning methods are of great importance. The research work is meant for solving the problems of using methodological resources and learning methods, which arise due to insufficiency of information in the metadata repositories of learning object (LO). The main models of LO metadata standards, used to describe digital learning resources in a formal way, have been analyzed and compared. Scientific and practical principles for applied model design of LO metadata standards have been explored. The content LO developing models that ensure LO compatibility have been considered. The empirical research performed enabled us to determine a further trend of research and influenced the creation of an extended LO metadata applied model. The design process of a metadata applied model consists of the following phases: 1) determination of sets of metadata elements that describe methodological resources and learning method objects, 2) composition of controlled vocabularies, aimed at description of metadata elements, with a view to ensure the compatibility... [to full text] / Pagrindinis informacinių technologijų (IT) naudojimo mokymuisi tikslas – didinti mokymosi kokybę ir efektyvumą, lengvinti besimokančiojo ir mokytojo darbą. Galima išskirti dvi IT taikymo ugdymui kryptis: 1) kai naudojant IT siekiama gerinti tradicinius metodus 2) kai sukuriami nauji metodai, kuriuos taikyti įmanoma tik naudojant IT. Abiem atvejais svarbus mokytojų gerosios patirties dalijimasis, mokymosi metodų įvaldymas. Disertacinis darbas skirtas metodinių išteklių ir mokymosi metodų naudojimo problemoms, kylančioms dėl informacijos nepakankamumo mokymosi objektų (MO) metaduomenų saugyklose, spręsti. Išanalizuoti ir palyginti pagrindiniai MO metaduomenų standartų modeliai, naudojami skaitmeniniams mokymosi ištekliams formaliuoju būdu aprašyti. Ištirti MO metaduomenų standartų taikymo modelių sudarymo moksliniai ir praktiniai principai. Išanalizuoti turinio MO kūrimo modeliai, kurie užtikrina MO suderinamumą. Atliktas empirinis tyrimas leido nustatyti tolesnę tyrimo kryptį ir turėjo įtakos išplėsto MO metaduomenų taikomojo modelio kūrimui. Metaduomenų taikomojo modelio projektavimo procesą sudaro šie etapai: 1) metodinių išteklių ir mokymosi metodų objektų aprašančių metaduomenų elementų aibių išskyrimas; 2) valdomųjų žodynų, skirtų metaduomenų elementams aprašyti, formavimas siekiant užtikrinti metaduomenų suderinamumą; 3) metodinių išteklių ir mokymosi metodų objektų aprašančių metaduomenų lyginamoji analizė; 4) išplėsto MO metaduomenų modelio išbaigimas ir diegimas... [toliau žr. visą tekstą]

The work is based on the research of business rules classification and specification methods. The basics of business rules approach are discussed. The most common business rules classification and modeling methods are analyzed. Business rules modeling techniques and tools for supporting them in the information systems are presented. Basing on the analysis results business rules classification method is proposed. Templates for every business rule type are presented. Business rules structuring process is shortly described. Business rules repository architecture, which is based on the proposed classification method, is presented. Proposed repository can store all types of business rules of defined classification method. Rules in the database are stored linked with events which are grouped by business functions. Such rules storing makes repository structure more flexible and more adaptive in information systems. Repository can function as an independent database for storing business rules and can be fully integrated in to the rule based information system. Rule specification tool for business rules registering and viewing was created. This tool has a simple user interface which allows register business rules and provides first steps in formalizing business statements. Finally conclusions are presented.

My Interdisciplinary dissertation examines illustrations in manuscripts and early print sources and reveals their participation in the transmission and reception of Old Norse mythology. My approach encompasses Material Philology and Media Specific Analysis. The reception history of illustrations of Old Norse Mythology affects our understanding of related Interdisciplinary fields such as Book History, Visual Studies, Literary Studies and Cultural Studies. Part One of my dissertation begins with a discussion of the tradition of Old Norse oral poetry in pagan Scandinavia and the highly visual nature of the poems. The oral tradition died out in Scandinavia but survived in Iceland and was preserved in vernacular manuscripts in the thirteenth century. The discovery of these manuscripts in the seventeenth century initiated a cycle of illustration that largely occurred outside of Iceland. Part One concludes with an analytical survey of illustrations of Old Norse mythology in print sources from 1554 to 1915 revealing important patterns of transmission. Part Two traces the technological history of production of digital editions and manuscript facsimiles back to the seventeenth century when manuscripts were hand-copied and published by means of copperplate engravings. Part Two also discusses the scholarly and cultural prejudices towards images that are only now slowly fading. Part Two concludes with a description of my prototype for a digital image repository named MyNDIR (My Norse Digital Image Repository). MyNDIR will facilitate the emergence of images of Old Norse Studies from the current informal crowd sourcing of material on the web to a digital image repository supporting the dissemination of accurate scholarly knowledge in a widely accessible form. Part Three presents two thematic case studies that demonstrate the value of applying the skills of visual literacy to illustrations of Old Norse mythology. The first study examines Jakob Sigurðsson’s illustrations of Norse gods in hand-copied paper manuscripts from eighteenth-century Iceland. The second study examines illustrations by prominent Norwegian artists in the editions of Snorre Sturlason: Kongesagaer published in 1899 and 1900 respectively. What emerged from these studies is an understanding that illustrations offer insights for the study of Old Norse texts that the words of the texts alone cannot provide. / Graduate / 0362 / 0377 / 0279 / pabaer@uvic.ca