A Model-Driven Architecture Approach for Modeling, Specifying and Deploying Policies in Autonomous and Autonomic Systems

Autonomic Computing (AC), self-management based on high level guidance from humans, is increasingly gaining momentum as the way forward in designing reliable systems that hide complexity and conquer IT management costs. Effectively, AC may be viewed as Policy-Based Self-Management. The Model Driven Architecture (MDA) approach focuses on building models that can be transformed into code in an automatic manner. In this paper, we look at ways to implement Policy-Based Self-Management by means of models that can be converted to code using transformations that follow the MDA philosophy. We propose a set of UML-based models to specify autonomic and autonomous features along with the necessary procedures, based on modification and composition of models, to deploy a policy as an executing system

Evidence/Discovery-Based Evolving Ontology (EDBEO)

This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modifyontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization

A Category Theoretic Model of RDF Ontology

ABSTRAC

Ontology Mapping: The State of the Art

Ontology mapping is seen as a solution provider in today\u27s landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mapping has beeb the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping

Comparative Analysisof Ontology Alignment Methodology

Abstrac

Модели контекстно-управляемых систем поддержки принятия решений в динамических структурированных областях

Some existing approaches to representation and organization of contexts in different information systems are analyzed. A two-level context management model for intelligent decision support in dynamic structured domains is proposed. A model for description of information resources of an open information environment is given. A technology model of context-aware decision support system is designed.Анализируются известные подходы к описанию и формированию контекста в различных информационных средах. Предлагается двухуровневая модель управления контекстом для организации интеллектуальной поддержки принятия решений в динамических структурированных областях. Приводится модель описания ресурсов открытой информационной среды для моделирования текущей ситуации. Определена технологическая модель контекстно-управляемой системы интеллектуальной поддержки принятия решений

Agile practices and their development in a technology company

Teknologiayritysten liiketoimintaympäristö muuttuu nopeasti informaatioteknologian kehityksen ja sitä seuraavan globalisoitumisen vaikutuksesta. Jatkuva ympäristön muutos edellyttää yrityksiltä muutosvalmiutta, jotta ne voivat saavuttaa kilpailuedun tai säilyttää sen. Tärkeimmät tekijät tässä turbulenttisessa ympäristössä ovat yrityksen työntekijät, jotka luovat arvon tuotteisiin ja palveluihin. Erityisen tärkeässä roolissa ovat työntekijöiden arvot ja asenteet, jotka vaikuttavat merkittävästi organisaatiokulttuuriin ja sitä kautta kaikkeen toimintaan. Voidaksemme kehittää liiketoimintaa, varmistaa sen laadun tai muuten edistää omaa tai toisen hyvinvointia, on tärkeää tiedostaa sen ympäristön piirteet, jossa toimii. Toimintaympäristön vahvuudet tulee siis kartoittaa, ja samalla tunnistaa sen heikkoudet, jotta toimintaa voidaan kehittää. Diplomityön tarkoituksena on kartoittaa Insta Automation Oy:n henkilöstön käsitystä ketteryydestä, sekä esittää ehdotuksia ketteryyden parantamiseksi. Diplomityön teoreettisessa osuudessa esitellään oleelliset tekijät, jotka vaikuttavat yrityksen ketteryyteen. Työssä kartoitetaan, kuinka hyvin Insta Automation Oy:n organisaatiossa ymmärretään ja hyödynnetään ketteryyttä ja sen tuomia etuja. Tutkimuksen empiria kerättiin Instan henkilöstölle tehdyn kyselytutkimuksen avulla, joka antaa kokonaiskuvan siitä, miten henkilöstö ymmärtää ja tiedostaa ketteryyden sekä sen tuomat mahdollisuudet ja haasteet. Kun yrityksessä mitataan ketteryyttä, on huomattava, että samalla mitataan yrityksen kilpailukykyä ja valmiutta vastata markkinoilla tapahtuviin odottamattomiin muutok-siin. Ketteryyttä mitattaessa löydetään yleensä yrityksen vähemmän ketterät toiminnot, joita voidaan kehittää ja siten parantaa reagointikykyä ennalta arvaamattomissa tilanteissa. Tutkimustulosten perusteella Instan liiketoimintajohtajilla on korkea luova jännite useiden ketteryyden kannalta oleellisten tekijöiden suhteen eli liiketoiminnan kehittämiseen on hyvät edellytykset. Tutkimustuloksissa on esitetty organisatoristen resurssien ontologioiden indikaattorit. Indikaattorit tuovat esiin resurssien vahvuudet ja heikkoudet, joita tulisi kehittää

Developing a compositional ontology alignment framework for unifying business and engineering domains

In the context of the Semantic Web, ontologies refer to the consensual and formal description of shared concepts in a domain. Ontologies are said to be a way to aid communication between humans and machines and also between machines for agent communication. The importance of ontologies for providing a shared understanding of common domains, and as a means for data exchange at the syntactic and semantic level has increased considerably in the last years. Therefore, ontology management becomes a significant task to make distributed and heterogeneous knowledge bases available to the end users. Ontology alignment is the process where ontology from different domains can be matched and processed further together, hence sharing a common understanding of the structure of information among different people. This research starts from a comprehensive review of the current development of ontology, the concepts of ontology alignments and relevant approaches. The first motivation of this work is trying to summarise the common features of ontology alignment and identify underdevelopment areas of ontology alignment. It then works on how complex businesses can be designed and managed by semantic modelling which can help define the data and the relationships between these entities, which provides the ability to abstract different kinds of data and provides an understanding of how the data elements relate. The main contributions of this work is to develop a framework of handling an important category of ontology alignment based on the logical composition of classes, especially under a case that one class from a certain domain becomes a logic prerequisites (assumption) of another class from a different domain (commitment) which only happens if the class from the first domain becomes valid. Under this logic, previously un-alignable classes or miss-aligned classes can be aligned in a significantly improved manner. A well-known rely/guarantee method has been adopted to clearly express such relationships between newly-alignable classes. The proposed methodology has be implemented and evaluated on a realistic case study.EThOS - Electronic Theses Online ServiceGBUnited Kingdo