Made available in DSpace on 2016-12-23T14:33:41Z (GMT). No. of bitstreams: 1 Andre Costa - Dissertacao - parte 1.pdf: 1053237 bytes, checksum: 8e90f2576db5227bb4eb33f34158733a (MD5) Previous issue date: 2008-08-15 / This work presents a domain conceptual model of ITIL Service Level Management by using foundational ontologies, and also presents the application of the definied concepts in this model in the service provider module of Infraware context-aware service platform. The study of the ITIL service management process and conceptual modeling of this domain is an attempt to give the first steps in what refers to the formalization of this domain concepts and its use in context-aware service platforms, in particular. A case study is presented to validate the model and to verify its applicability in the generation of management information and of control to the service provider module of the platform and its customers / Este trabalho apresenta um modelo conceitual do domínio do processo de Gerenciamento de Nível de Serviço da biblioteca ITIL utilizando ontologias de fundamentação, e a aplicação dos conceitos definidos neste modelo no módulo provedor de serviço da plataforma de serviços sensíveis ao contexto Infraware. O estudo do processo de gerenciamento de serviços ITIL e a modelagem conceitual deste domínio visam dar os primeiros passos no que se refere à formalização dos conceitos deste domínio e a sua utilização em plataformas de serviços sensíveis ao contexto, em particular. Um estudo de caso é desenvolvido como forma de validar o modelo e de comprovar sua aplicabilidade na geração de informações de gerenciamento e de controle para o módulo provedor de serviço da plataforma e para seus clientes

La sécurité-innocuité est une propriété émergente des systèmes critiques de sécurité (SCS), notamment les systèmes ferroviaires. Cet aspect émergent complexifie leur processus du développement et nécessite un raisonnement judicieux permettant de diminuer les dangers. Cette thèse propose une approche ontologique qui intègre les activités de sécurité dès les premières phases de conception des SCS. Ce cadre structuré offre une harmonisation sémantique entre les domaines impliqués, tels que l'ingénierie de sécurité et l'Ingénierie des Exigences Dirigée par les Buts (IEDB). La logique métier intégrée dans cette approche est validée par des cas d'étude ferroviaires d'accidents réels et d'une mission télé-opérée. Dans un premier temps, nous avons proposé une ontologie d'analyse dysfonctionnelle appelée DAO et fondée sur l'ontologie de haut niveau UFO. DAO considère les aspects sociaux-techniques et environnementaux des SCS et intègre les différents types de fautes et de propriétés cognitives liés respectivement aux défaillances techniques et aux erreurs humaines. Le modèle conceptuel de DAO est exprimé en OntoUML et formalisé en langage OWL afin de fournir un support de raisonnement. Ensuite, un pont sémantique est établi entre les mesures de sécurité, les buts de sécurité et les exigences de sécurité par le développement d'une ontologie de gestion de sécurité orientée-but, appelée GOSMO. La gestion des décisions de sécurité s’appuie sur la réinterprétation du modèle de contrôle d'accès Or-Bac d'un point de vue sécurité-innocuité. Afin d'assurer la cohérence globale des exigences, GOSMO permet de structurer la gestion des évolutions des exigences et leur traçabilité. / Safety is an emergent property of safety critical systems (SCS), including railway systems. This emergent aspect exacerbates their development process and requires a thorough reasoning to reduce hazards. This thesis proposes an ontological approach that integrates safety activities from the early design stages of SCS. This structured framework provides a semantic harmonization between the involved domains, such as safety engineering and Goal Oriented Requirements Engineering (GORE). The business logic integrated in this approach is validated by real rail accident scenarios and a remotely operated task. At first, we proposed a dysfunctional analysis ontology called DAO and based on the high-level ontology UFO. DAO considers the socio-technical and environmental aspects of SCS and integrates the different types of faults and cognitive properties that are respectively related to technical failures and human errors. The DAO conceptual model is expressed in OntoUML and formalized in OWL language in order to provide a reasoning support. Then, a semantic bridge is established between safety measures, safety goals and safety requirements through the development of a goal-oriented security management ontology, called GOSMO. The management of safety decisions is based on the reinterpretation of the Or-Bac access control model from a safety point of view. In order to ensure the overall consistency of requirements, GOSMO allows structuring the management of requirements changes and their traceability

Lists of records in machine-printed documents contain much useful information. As one example, the thousands of family history books scanned, OCRed, and placed on-line by FamilySearch.org probably contain hundreds of millions of fact assertions about people, places, family relationships, and life events. Data like this cannot be fully utilized until a person or process locates the data in the document text, extracts it, and structures it with respect to an ontology or database schema. Yet, in the family history industry and other industries, data in lists goes largely unused because no known approach adequately addresses all of the costs, challenges, and requirements of a complete end-to-end solution to this task. The diverse information is costly to extract because many kinds of lists appear even within a single document, differing from each other in both structure and content. The lists' records and component data fields are usually not set apart explicitly from the rest of the text, especially in a corpus of OCRed historical documents. OCR errors and the lack of document structure (e.g. HMTL tags) make list content hard to recognize by a software tool developed without a substantial amount of highly specialized, hand-coded knowledge or machine learning supervision. Making an approach that is not only accurate but also sufficiently scalable in terms of time and space complexity to process a large corpus efficiently is especially challenging. In this dissertation, we introduce a novel family of scalable approaches to list discovery and ontology population. Its contributions include the following. We introduce the first general-purpose methods of which we are aware for both list detection and wrapper induction for lists in OCRed or other plain text. We formally outline a mapping between in-line labeled text and populated ontologies, effectively reducing the ontology population problem to a sequence labeling problem, opening the door to applying sequence labelers and other common text tools to the goal of populating a richly structured ontology from text. We provide a novel admissible heuristic for inducing regular expression wrappers using an A* search. We introduce two ways of modeling list-structured text with a hidden Markov model. We present two query strategies for active learning in a list-wrapper induction setting. Our primary contributions are two complete and scalable wrapper-induction-based solutions to the end-to-end challenge of finding lists, extracting data, and populating an ontology. The first has linear time and space complexity and extracts highly accurate information at a low cost in terms of user involvement. The second has time and space complexity that are linear in the size of the input text and quadratic in the length of an output record and achieves higher F1-measures for extracted information as a function of supervision cost. We measure the performance of each of these approaches and show that they perform better than strong baselines, including variations of our own approaches and a conditional random field-based approach.

Mit der stetigen Konsolidierung der Web Service Standards vollzieht sich in der Diskussion zu serviceorientierten Architekturen ein Wechsel weg von der Implementierung und dem Deployment von Services hin zum Service Management. Die Indikatoren: Anzahl der Standardisierungsanfragen und die Menge großer Forschungsprogramme in diesem Bereich sind evident für einen wachsenden Bedarf an Managementmethoden für die Abbildung von Geschäftsanforderungen auf Servicekompositionen. Die Verwendung von semiformalen Modellen sowie die verteilte Entwicklung von SOA Services machen eine an Konventionen orientierte konstruktive Einschränkung der Freiheitsgrade bei der Prozess- und Servicemodellierung notwendig. In dieser Arbeit wird eine generische Methode vorgestellt, welche durch die Einführung von „Beschreibungsrahmen“ (Description Kits) sowohl eine Einschränkung der Modellierungsfreiheit in Bezug auf natürlichsprachliche Aspekte in fachkonzeptuellen Modellen erlaubt, als auch eine restriktive Benutzung bestehender Modellierungssprachen ermöglicht. Als Anwendungsfall wird die Konfiguration serviceorientierter Architekturen diskutiert. - (Die Dissertation ist veröffentlicht im Logos Verlag Berlin GmbH, http://www.logos-verlag.de, ISBN: 978-3-8325-2402-9) / With Service-oriented Architectures (SOA) companies are facing a paradigm shift towards services as the key unit of their enterprise architectures. An exploitation of the potential of Service-oriented Architectures is up to the applicability of semi-formal business models for a transformation into service compositions. However, several conceptual shortcomings prevent semi-formal models from being a suitable resource of an automated transformation process. Problems result from a multitude of modeling aims, objects, and procedures. Enhancements in order to solve these problems require both systematic preparation, and a methodical approach. This thesis provides a modeling method for business process-oriented SOA design using a meta-model based approach. An integrated modeling environment gives an overview of business requirements and allows appropriate assignment of SOA services to the business functions at the same time. The research refers to the example of process-oriented analysis and optimization of administrative procedures in German universities.

Decision support systems are interactive, computer-based information systems that provide data and analysis tools in order to better assist managers on different levels of organization in the process of decision making. Data warehouses (DWs) have been developed and deployed as an integral part of decision support systems. <p><p>A data warehouse is a database that allows to store high volume of historical data required for analytical purposes. This data is extracted from operational databases, transformed into a coherent whole, and loaded into a DW during the extraction-transformation-loading (ETL) process. <p><p>DW data can be dynamically manipulated using on-line analytical processing (OLAP) systems. DW and OLAP systems rely on a multidimensional model that includes measures, dimensions, and hierarchies. Measures are usually numeric additive values that are used for quantitative evaluation of different aspects about organization. Dimensions provide different analysis perspectives while hierarchies allow to analyze measures on different levels of detail. <p><p>Nevertheless, currently, designers as well as users find difficult to specify multidimensional elements required for analysis. One reason for that is the lack of conceptual models for DW and OLAP system design, which would allow to express data requirements on an abstract level without considering implementation details. Another problem is that many kinds of complex hierarchies arising in real-world situations are not addressed by current DW and OLAP systems.<p><p>In order to help designers to build conceptual models for decision-support systems and to help users in better understanding the data to be analyzed, in this thesis we propose the MultiDimER model - a conceptual model used for representing multidimensional data for DW and OLAP applications. Our model is mainly based on the existing ER constructs, for example, entity types, attributes, relationship types with their usual semantics, allowing to represent the common concepts of dimensions, hierarchies, and measures. It also includes a conceptual classification of different kinds of hierarchies existing in real-world situations and proposes graphical notations for them.<p><p>On the other hand, currently users of DW and OLAP systems demand also the inclusion of spatial data, visualization of which allows to reveal patterns that are difficult to discover otherwise. The advantage of using spatial data in the analysis process is widely recognized since it allows to reveal patterns that are difficult to discover otherwise. <p><p>However, although DWs typically include a spatial or a location dimension, this dimension is usually represented in an alphanumeric format. Furthermore, there is still a lack of a systematic study that analyze the inclusion as well as the management of hierarchies and measures that are represented using spatial data. <p><p>With the aim of satisfying the growing requirements of decision-making users, we extend the MultiDimER model by allowing to include spatial data in the different elements composing the multidimensional model. The novelty of our contribution lays in the fact that a multidimensional model is seldom used for representing spatial data. To succeed with our proposal, we applied the research achievements in the field of spatial databases to the specific features of a multidimensional model. The spatial extension of a multidimensional model raises several issues, to which we refer in this thesis, such as the influence of different topological relationships between spatial objects forming a hierarchy on the procedures required for measure aggregations, aggregations of spatial measures, the inclusion of spatial measures without the presence of spatial dimensions, among others. <p><p>Moreover, one of the important characteristics of multidimensional models is the presence of a time dimension for keeping track of changes in measures. However, this dimension cannot be used to model changes in other dimensions. <p>Therefore, usual multidimensional models are not symmetric in the way of representing changes for measures and dimensions. Further, there is still a lack of analysis indicating which concepts already developed for providing temporal support in conventional databases can be applied and be useful for different elements composing a multidimensional model. <p><p>In order to handle in a similar manner temporal changes to all elements of a multidimensional model, we introduce a temporal extension for the MultiDimER model. This extension is based on the research in the area of temporal databases, which have been successfully used for modeling time-varying information for several decades. We propose the inclusion of different temporal types, such as valid and transaction time, which are obtained from source systems, in addition to the DW loading time generated in DWs. We use this temporal support for a conceptual representation of time-varying dimensions, hierarchies, and measures. We also refer to specific constraints that should be imposed on time-varying hierarchies and to the problem of handling multiple time granularities between source systems and DWs. <p><p>Furthermore, the design of DWs is not an easy task. It requires to consider all phases from the requirements specification to the final implementation including the ETL process. It should also take into account that the inclusion of different data items in a DW depends on both, users' needs and data availability in source systems. However, currently, designers must rely on their experience due to the lack of a methodological framework that considers above-mentioned aspects. <p><p>In order to assist developers during the DW design process, we propose a methodology for the design of conventional, spatial, and temporal DWs. We refer to different phases, such as requirements specification, conceptual, logical, and physical modeling. We include three different methods for requirements specification depending on whether users, operational data sources, or both are the driving force in the process of requirement gathering. We show how each method leads to the creation of a conceptual multidimensional model. We also present logical and physical design phases that refer to DW structures and the ETL process.<p><p>To ensure the correctness of the proposed conceptual models, i.e. with conventional data, with the spatial data, and with time-varying data, we formally define them providing their syntax and semantics. With the aim of assessing the usability of our conceptual model including representation of different kinds of hierarchies as well as spatial and temporal support, we present real-world examples. Pursuing the goal that the proposed conceptual solutions can be implemented, we include their logical representations using relational and object-relational databases.<p> / Doctorat en sciences appliquées / info:eu-repo/semantics/nonPublished

Mit der stetigen Konsolidierung der Web Service Standards vollzieht sich in der Diskussion zu serviceorientierten Architekturen ein Wechsel weg von der Implementierung und dem Deployment von Services hin zum Service Management. Die Indikatoren: Anzahl der Standardisierungsanfragen und die Menge großer Forschungsprogramme in diesem Bereich sind evident für einen wachsenden Bedarf an Managementmethoden für die Abbildung von Geschäftsanforderungen auf Servicekompositionen. Die Verwendung von semiformalen Modellen sowie die verteilte Entwicklung von SOA Services machen eine an Konventionen orientierte konstruktive Einschränkung der Freiheitsgrade bei der Prozess- und Servicemodellierung notwendig. In dieser Arbeit wird eine generische Methode vorgestellt, welche durch die Einführung von „Beschreibungsrahmen“ (Description Kits) sowohl eine Einschränkung der Modellierungsfreiheit in Bezug auf natürlichsprachliche Aspekte in fachkonzeptuellen Modellen erlaubt, als auch eine restriktive Benutzung bestehender Modellierungssprachen ermöglicht. Als Anwendungsfall wird die Konfiguration serviceorientierter Architekturen diskutiert. - (Die Dissertation ist veröffentlicht im Logos Verlag Berlin GmbH, http://www.logos-verlag.de, ISBN: 978-3-8325-2402-9) / With Service-oriented Architectures (SOA) companies are facing a paradigm shift towards services as the key unit of their enterprise architectures. An exploitation of the potential of Service-oriented Architectures is up to the applicability of semi-formal business models for a transformation into service compositions. However, several conceptual shortcomings prevent semi-formal models from being a suitable resource of an automated transformation process. Problems result from a multitude of modeling aims, objects, and procedures. Enhancements in order to solve these problems require both systematic preparation, and a methodical approach. This thesis provides a modeling method for business process-oriented SOA design using a meta-model based approach. An integrated modeling environment gives an overview of business requirements and allows appropriate assignment of SOA services to the business functions at the same time. The research refers to the example of process-oriented analysis and optimization of administrative procedures in German universities.