XML for Domain Viewpoints

Within research institutions like CERN (European Organization for Nuclear Research) there are often disparate databases (different in format, type and structure) that users need to access in a domain-specific manner. Users may want to access a simple unit of information without having to understand detail of the underlying schema or they may want to access the same information from several different sources. It is neither desirable nor feasible to require users to have knowledge of these schemas. Instead it would be advantageous if a user could query these sources using his or her own domain models and abstractions of the data. This paper describes the basis of an XML (eXtended Markup Language) framework that provides this functionality and is currently being developed at CERN. The goal of the first prototype was to explore the possibilities of XML for data integration and model management. It shows how XML can be used to integrate data sources. The framework is not only applicable to CERN data sources but other environments too.Comment: 9 pages, 6 figures, conference report from SCI'2001 Multiconference on Systemics & Informatics, Florid

Formal Specification for Spatial Information Databases Integration Framework (SIDIF)

This paper discusses the formal validation for spatial information databases integration framework (SIDIF). A SIDIF database is a large, organized body of persistent data, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system. One of the common difficulties faced by the developer is in designing a robust database system. Even so, in order to solve this matter, developers have to focus their efforts on the formal specifications. The formal specification is supposed to reduce the overall development time. Formal specifications can be used to provide an unambiguous and precise supplement to natural language descriptions. Besides, it can be rigorously validated and verified leading to the early detection of specification errors. Consequently, to validate this problem formally, we specify the SIDIF database framework using Z language and prove by using Z/EVES theorem proven tool. By using this kind of tools, it may help to reduce time, energy and mistake compared to manual theorem proving which can be error task and tedious

Інтеграція даних у мережі Інтернет: зв’язані дані

Розкривається підхід до інтеграції даних, у тому числі наукових результатів, у мережі Інтернет в рамках концепції зв’язаних даних. Зокрема демонструється методологія, за якою семантично описаний контент може автоматично публікуватися та втягуватися в єдину базу RDF посилань.The paper reveals an approach to data integration, including research results on the Internet within the concept of linked data. In particular, demonstrate the methodology by which, semantically described content can automatically be published and to get involved and unified database RDF links

ІНТЕГРАЦІЯ ДАНИХ У МЕРЕЖІ ІНТЕРНЕТ: ЗВ’ЯЗАНІ ДАНІ

Розкривається підхід до інтеграції даних, у тому числі наукових результатів, у мережі Інтернет в рамках концепції зв’язаних даних.\ud Зокрема демонструється методологія, за якою семантично описаний контент може автоматично публікуватися та втягуватися в\ud єдину базу RDF посилань.\ud The paper reveals an approach to data integration, including research results on the Internet within the concept of linked data. In particular,\ud demonstrate the methodology by which, semantically described content can automatically be published and to get involved and unified\ud database RDF links

CROSS-DISCIPLINARY COLLABORATIONS IN DATA QUALITY RESEARCH

Data Quality has been the target of research and development for over four decades, and due to its cross-disciplinary nature has been approached by business analysts, solution architects, database experts and statisticians to name a few. As data quality increases in importance and complexity, there is a need to motivate the exploitation of synergies across diverse research communities in order to form holistic solutions that span across its organizational, architectural and computational aspects. As a first step towards bridging gaps between the various research communities, we undertook a comprehensive literature study of data quality research published in the last two decades. In this study we considered a broad range of Information System (IS) and Computer Science (CS) publication outlets. The main aims of the study were to understand the current landscape of data quality research, create better awareness of (lack of) synergies between various research communities, and, subsequently, direct attention towards holistic solutions. In this paper, we present a summary of the findings from the study that outline the overlaps and distinctions between the two communities from various points of view, including publication outlets, topics and themes of research, highly cited or influential contributors and strength and nature of co-authorship networks

Software Reuse for Modeling and Simulation

In Modeling and Simulation, as a distinct area of software engineering, there is much interest in being able to reuse software components. However, the practice of simulation development and maintenance is different from software engineering because of several factors. In this paper, a brief overview of the foundations of interoperability, and how they apply to the reuse of model based software is explored, as well as examination of current practices to include M&S software repositories. Some recommendations, based on research at the Virginia Modeling Analysis and Simulation Center (VMASC) and practice at the Raytheon Company Network Centric Services, are made

A Molecular Biology Database Digest

Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [18]. As expected, Molecular Biology databases play an essential role in Computational Biology research and development. This paper introduces into current Molecular Biology databases, stressing data modeling, data acquisition, data retrieval, and the integration of Molecular Biology data from different sources. This paper is primarily intended for an audience of computer scientists with a limited background in Biology

KONZEPTIONELLE METAMODELLE VON IT-GOVERNANCE-REFERENZMODELLEN ALS BASIS DER KOMBINATION UND INTEGRATION IN EINER MULTI-MODELL-UMGEBUNG

In jüngster Zeit steht zur methodischen Unterstützung der Aufgaben der Unternehmens-IT eine stetig wachsende Anzahl von Referenzmodellen zur Verfügung. Aus verschiedenen Gründen können diese Referenzmodelle immer seltener isoliert voneinander betrachtet und eingesetzt werden. Vielmehr wird es für die IT-Abteilungen zu einer Herausforderung, das Zusammenspiel in einer „Multi-Modell-Umgebung“ [29] aktiv zu gestalten, um mit dieser Heterogenität umzugehen, bspw. weil die Modelle in Teilen redundante Anwendungsbereiche haben, Unterschiede hinsichtlich der zugrundeliegenden Sprachwelten aufweisen und auf verschiedenen Prinzipien beruhen. In der Praxis sind Vorschläge entwickelt worden, Modelle direkt ineinander abzubilden („Mapping“). Dieser Ansatz weist jedoch verschiedene Probleme auf. Als eine weitergehende und methodisch fundierte Art, mit den genannten Herausforderungen umzugehen, wird die Metamodellierung angesehen, durch die die genannten Modelle auch auf Ebene ihrer Komponenten und Strukturen analysiert, verglichen und integriert werden können