Business Grid Services

Grid services have come to represent the synthesis of web services and grid computing paradigms. Web services provide the means to modularize software, enabling loosely coupled and novel synthesis. Grid computing removes the binding between functional software components and specific hosting hardware, enabling software to be deployed dynamically over a network (e.g. intra-, extra- or inter-net). Applying the constructs of grid computing to the service orientation of enterprise software will allow business service networks to utilize more specialized services. An upper service ontology that enables business grid services to be described and then related to the grid hosting platform is presented. Explicit knowledge is required for enterprise software, hosting servers and the domain that can then be utilized by both SLA and reservation systems. The ontology presented is derived from and validated using a collection of web services taken from leading investment banks

A Conceptual Framework for Business Model Research

The business model concept is useful in analysing and communicating the essence of a business, and for predicting the implications of electronic commerce on an existing business. As useful as the concept is, there is a lack of consensus among researchers on the definition of a business model, and on the constructs of the business model. The aim of this paper is to propose a conceptual framework for business model research that provides a basis for theory development and debate. Without such a conceptual framework business model research will progress in an ad hoc fashion and be directed by the immediate needs of individual researchers. The financial reporting conceptual framework developed over many years by the accounting profession, is used as a mould for the hierarchically structured, business model conceptual framework that is the subject of this paper. In addition the notion of primacy of concept is used to determine the business model elements and architecture. It is envisaged that the business model conceptual framework will guide future research and that it will be reviewed and refined, just as the financial reporting conceptual framework has been reviewed and refined over decades

X-IM Framework to Overcome Semantic Heterogeneity Across XBRL Filings

Semantic heterogeneity in XBRL precludes the full automation of the business reporting pipeline, a key motivation for the SEC’s XBRL mandate. To mitigate this problem, several approaches leveraging Semantic Web technologies have emerged. While some approaches are promising, their mapping accuracy in resolving semantic heterogeneity must be improved to realize the promised benefits of XBRL. Considering this limitation and following the design science research methodology (DSRM), we develop a novel framework, XBRL indexing-based mapping (X-IM), which takes advantage of the representational model of representation theory to map heterogeneous XBRL elements across diverse XBRL filings. The application of representation theory to the design process informs the use of XBRL label linkbases as a repository of regularities constitutive of the relationships between financial item names and the concepts they describe along a set of equivalent financial terms of interest to investors. The instantiated design artifact is thoroughly evaluated using standard information retrieval metrics. Our experiments show that X-IM significantly outperforms existing methods

Challenges to knowledge representation in multilingual contexts

To meet the increasing demands of the complex inter-organizational processes and the demand for continuous innovation and internationalization, it is evident that new forms of organisation are being adopted, fostering more intensive collaboration processes and sharing of resources, in what can be called collaborative networks (Camarinha-Matos, 2006:03). Information and knowledge are crucial resources in collaborative networks, being their management fundamental processes to optimize. Knowledge organisation and collaboration systems are thus important instruments for the success of collaborative networks of organisations having been researched in the last decade in the areas of computer science, information science, management sciences, terminology and linguistics. Nevertheless, research in this area didn’t give much attention to multilingual contexts of collaboration, which pose specific and challenging problems. It is then clear that access to and representation of knowledge will happen more and more on a multilingual setting which implies the overcoming of difficulties inherent to the presence of multiple languages, through the use of processes like localization of ontologies. Although localization, like other processes that involve multilingualism, is a rather well-developed practice and its methodologies and tools fruitfully employed by the language industry in the development and adaptation of multilingual content, it has not yet been sufficiently explored as an element of support to the development of knowledge representations - in particular ontologies - expressed in more than one language. Multilingual knowledge representation is then an open research area calling for cross-contributions from knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences. This workshop joined researchers interested in multilingual knowledge representation, in a multidisciplinary environment to debate the possibilities of cross-fertilization between knowledge engineering, terminology, ontology engineering, cognitive sciences, computational linguistics, natural language processing, and management sciences applied to contexts where multilingualism continuously creates new and demanding challenges to current knowledge representation methods and techniques. In this workshop six papers dealing with different approaches to multilingual knowledge representation are presented, most of them describing tools, approaches and results obtained in the development of ongoing projects. In the first case, Andrés Domínguez Burgos, Koen Kerremansa and Rita Temmerman present a software module that is part of a workbench for terminological and ontological mining, Termontospider, a wiki crawler that aims at optimally traverse Wikipedia in search of domainspecific texts for extracting terminological and ontological information. The crawler is part of a tool suite for automatically developing multilingual termontological databases, i.e. ontologicallyunderpinned multilingual terminological databases. In this paper the authors describe the basic principles behind the crawler and summarized the research setting in which the tool is currently tested. In the second paper, Fumiko Kano presents a work comparing four feature-based similarity measures derived from cognitive sciences. The purpose of the comparative analysis presented by the author is to verify the potentially most effective model that can be applied for mapping independent ontologies in a culturally influenced domain. For that, datasets based on standardized pre-defined feature dimensions and values, which are obtainable from the UNESCO Institute for Statistics (UIS) have been used for the comparative analysis of the similarity measures. The purpose of the comparison is to verify the similarity measures based on the objectively developed datasets. According to the author the results demonstrate that the Bayesian Model of Generalization provides for the most effective cognitive model for identifying the most similar corresponding concepts existing for a targeted socio-cultural community. In another presentation, Thierry Declerck, Hans-Ulrich Krieger and Dagmar Gromann present an ongoing work and propose an approach to automatic extraction of information from multilingual financial Web resources, to provide candidate terms for building ontology elements or instances of ontology concepts. The authors present a complementary approach to the direct localization/translation of ontology labels, by acquiring terminologies through the access and harvesting of multilingual Web presences of structured information providers in the field of finance, leading to both the detection of candidate terms in various multilingual sources in the financial domain that can be used not only as labels of ontology classes and properties but also for the possible generation of (multilingual) domain ontologies themselves. In the next paper, Manuel Silva, António Lucas Soares and Rute Costa claim that despite the availability of tools, resources and techniques aimed at the construction of ontological artifacts, developing a shared conceptualization of a given reality still raises questions about the principles and methods that support the initial phases of conceptualization. These questions become, according to the authors, more complex when the conceptualization occurs in a multilingual setting. To tackle these issues the authors present a collaborative platform – conceptME - where terminological and knowledge representation processes support domain experts throughout a conceptualization framework, allowing the inclusion of multilingual data as a way to promote knowledge sharing and enhance conceptualization and support a multilingual ontology specification. In another presentation Frieda Steurs and Hendrik J. Kockaert present us TermWise, a large project dealing with legal terminology and phraseology for the Belgian public services, i.e. the translation office of the ministry of justice, a project which aims at developing an advanced tool including expert knowledge in the algorithms that extract specialized language from textual data (legal documents) and whose outcome is a knowledge database including Dutch/French equivalents for legal concepts, enriched with the phraseology related to the terms under discussion. Finally, Deborah Grbac, Luca Losito, Andrea Sada and Paolo Sirito report on the preliminary results of a pilot project currently ongoing at UCSC Central Library, where they propose to adapt to subject librarians, employed in large and multilingual Academic Institutions, the model used by translators working within European Union Institutions. The authors are using User Experience (UX) Analysis in order to provide subject librarians with a visual support, by means of “ontology tables” depicting conceptual linking and connections of words with concepts presented according to their semantic and linguistic meaning. The organizers hope that the selection of papers presented here will be of interest to a broad audience, and will be a starting point for further discussion and cooperation

Improving IT service management using an ontology-based and model-driven approach

Texto en inglés y resumen en inglés y españolLa adopción de marcos de trabajo de mejores prácticas que permiten la integración de las Tecnologías de la Información (TI) con el negocio, ayuda a las organizaciones a crear y compartir procesos de gestión de servicios de TI. Sin embargo, las guías y modelos publicados suelen especificarse en lenguaje natural o con representaciones gráficas que carecen de la semántica computacional necesaria para poder automatizar su validación, simulación e incluso su ejecución. En esta tesis se presenta Onto-ITIL, una propuesta basada en ontologías y en el enfoque de desarrollo de software dirigido por modelos que captura las mejores prácticas ofrecidas por ITIL® (del inglés Information Technology Infrastructure Library), y destinada a facilitar la prestación de servicios de TI. El objetivo de Onto-ITIL es ayudar a los expertos del dominio a modelar e implementar procesos de gestión de servicios de TI evitando ambigüedades semánticas y contradicciones. La formalización de los procesos de gestión de servicios de TI en términos de ITIL constituye un primer paso para cubrir la brecha que se da entre el negocio y las TI. Para definir las ontologías se ha utilizado OWL (del inglés Web Ontology Language). Adicionalmente, se ha definido un conjunto de reglas basadas en SWRL (del inglés Semantic Web Rule Language) que permiten enriquecer la ontología con una serie de restricciones semánticas y de reglas de inferencia de conocimiento. Por último, la definición de un conjunto de consultas basadas en SQWRL (del inglés Query-Enhanced Web Rule Language) permite recuperar conocimiento obtenido con OWL e inferido a través de las reglas SWRL. Además de formalizar los procesos de gestión de servicios de TI en base a las buenas prácticas consideradas por ITIL, Onto-ITIL también permite compartir, reutilizar e intercambiar las especificaciones de dichos procesos a través de mecanismos automatizados que proporcionan ciertos marcos de trabajo de comercio electrónico, como por ejemplo, ebXML. Mediante la adopción del enfoque MDE (del inglés Model-driven Engineering), se ha utilizado un DSL (del inglés Domain Specific Language) basado en la ontología Onto-ITIL que sirve para implementar sistemas de información basados en flujos de trabajo que dan soporte a los Sistemas de Gestión de Servicios de TI (SGSTI). Los modelos que se obtienen a partir de este lenguaje de modelado se pueden considerar modelos de alto nivel que han sido enriquecidos con conocimiento ontológico, y que están definidos exclusivamente en términos de lógica de negocio, es decir, que no presentan ningún aspecto arquitectónico o de plataforma de implementación. Con lo cual, de acuerdo con la arquitectura en cuatro capas propuesta por el OMG (del inglés Object Management Group), estos modelos se encontrarían a nivel CIM (del inglés Computation Independent Model). En resumen, la propuesta presentada en esta tesis permite: (i) formalizar el conocimiento asociado a los sistemas de gestión de servicios de TI en base a ontologías que recogen las buenas prácticas consideradas por ITIL; (ii) modelar la semántica de las actividades que definen los procesos de gestión de servicios de TI en forma de flujos de trabajo; (iii) generar de manera automática modelos de requisitos de alto nivel para implementar sistemas de información que se necesitan para dar soporte a dichos procesos; y (iv) a partir de los modelos anteriores, obtener modelos de más bajo nivel (llegando incluso al código de las aplicaciones) a través de transformaciones automáticas de modelos. La investigación llevada a cabo en esta tesis se ha validado mediante de la implementación de un caso de estudio real proporcionado por una compañía española que ofrece servicios de TI

Improving IT service management using an ontology-based and model-driven approach

Texto en inglés y resumen en inglés y españolLa adopción de marcos de trabajo de mejores prácticas que permiten la integración de las Tecnologías de la Información (TI) con el negocio, ayuda a las organizaciones a crear y compartir procesos de gestión de servicios de TI. Sin embargo, las guías y modelos publicados suelen especificarse en lenguaje natural o con representaciones gráficas que carecen de la semántica computacional necesaria para poder automatizar su validación, simulación e incluso su ejecución. En esta tesis se presenta Onto-ITIL, una propuesta basada en ontologías y en el enfoque de desarrollo de software dirigido por modelos que captura las mejores prácticas ofrecidas por ITIL® (del inglés Information Technology Infrastructure Library), y destinada a facilitar la prestación de servicios de TI. El objetivo de Onto-ITIL es ayudar a los expertos del dominio a modelar e implementar procesos de gestión de servicios de TI evitando ambigüedades semánticas y contradicciones. La formalización de los procesos de gestión de servicios de TI en términos de ITIL constituye un primer paso para cubrir la brecha que se da entre el negocio y las TI. Para definir las ontologías se ha utilizado OWL (del inglés Web Ontology Language). Adicionalmente, se ha definido un conjunto de reglas basadas en SWRL (del inglés Semantic Web Rule Language) que permiten enriquecer la ontología con una serie de restricciones semánticas y de reglas de inferencia de conocimiento. Por último, la definición de un conjunto de consultas basadas en SQWRL (del inglés Query-Enhanced Web Rule Language) permite recuperar conocimiento obtenido con OWL e inferido a través de las reglas SWRL. Además de formalizar los procesos de gestión de servicios de TI en base a las buenas prácticas consideradas por ITIL, Onto-ITIL también permite compartir, reutilizar e intercambiar las especificaciones de dichos procesos a través de mecanismos automatizados que proporcionan ciertos marcos de trabajo de comercio electrónico, como por ejemplo, ebXML. Mediante la adopción del enfoque MDE (del inglés Model-driven Engineering), se ha utilizado un DSL (del inglés Domain Specific Language) basado en la ontología Onto-ITIL que sirve para implementar sistemas de información basados en flujos de trabajo que dan soporte a los Sistemas de Gestión de Servicios de TI (SGSTI). Los modelos que se obtienen a partir de este lenguaje de modelado se pueden considerar modelos de alto nivel que han sido enriquecidos con conocimiento ontológico, y que están definidos exclusivamente en términos de lógica de negocio, es decir, que no presentan ningún aspecto arquitectónico o de plataforma de implementación. Con lo cual, de acuerdo con la arquitectura en cuatro capas propuesta por el OMG (del inglés Object Management Group), estos modelos se encontrarían a nivel CIM (del inglés Computation Independent Model). En resumen, la propuesta presentada en esta tesis permite: (i) formalizar el conocimiento asociado a los sistemas de gestión de servicios de TI en base a ontologías que recogen las buenas prácticas consideradas por ITIL; (ii) modelar la semántica de las actividades que definen los procesos de gestión de servicios de TI en forma de flujos de trabajo; (iii) generar de manera automática modelos de requisitos de alto nivel para implementar sistemas de información que se necesitan para dar soporte a dichos procesos; y (iv) a partir de los modelos anteriores, obtener modelos de más bajo nivel (llegando incluso al código de las aplicaciones) a través de transformaciones automáticas de modelos. La investigación llevada a cabo en esta tesis se ha validado mediante de la implementación de un caso de estudio real proporcionado por una compañía española que ofrece servicios de TI

Exploiting Linked Data in Financial Engineering

Part 3: Finance and Service ScienceInternational audienceIn this paper, we report on a recent initiative that exploiting Linked Data for financial data integration. Financial data present high heterogeneity. Linked Data helps to reveal the true data semantics and “hidden” connection, upon which meaningful mappings can be constructed. The work reported in this paper has been well-accepted at several public events and conferences, including the 26th XBRL conference, involving the realisation of the XBRL (eXtensible Business Reporting Language) prototype called HIKAKU, which means “comparison” in Japanese. It demonstrates our approach to exploit the power of Linked Data in enhancing flexibility for data integration in the financial domain

A semantic Bayesian network for automated share evaluation on the JSE

Advances in information technology have presented the potential to automate investment decision making processes. This will alleviate the need for manual analysis and reduce the subjective nature of investment decision making. However, there are different investment approaches and perspectives for investing which makes acquiring and representing expert knowledge for share evaluation challenging. Current decision models often do not reflect the real investment decision making process used by the broader investment community or may not be well-grounded in established investment theory. This research investigates the efficacy of using ontologies and Bayesian networks for automating share evaluation on the JSE. The knowledge acquired from an analysis of the investment domain and the decision-making process for a value investing approach was represented in an ontology. A Bayesian network was constructed based on the concepts outlined in the ontology for automatic share evaluation. The Bayesian network allows decision makers to predict future share performance and provides an investment recommendation for a specific share. The decision model was designed, refined and evaluated through an analysis of the literature on value investing theory and consultation with expert investment professionals. The performance of the decision model was validated through back testing and measured using return and risk-adjusted return measures. The model was found to provide superior returns and risk-adjusted returns for the evaluation period from 2012 to 2018 when compared to selected benchmark indices of the JSE. The result is a concrete share evaluation model grounded in investing theory and validated by investment experts that may be employed, with small modifications, in the field of value investing to identify shares with a higher probability of positive risk-adjusted returns

Resources-Events-Agents Design Theory: A Revolutionary Approach to Enterprise System Design

Enterprise systems typically include constructs such as ledgers and journals with debit and credit entries as central pillars of the systems’ architecture due in part to accountants and auditors who demand those constructs. At best, structuring systems with such constructs as base objects results in the storing the same data at multiple levels of aggregation, which creates inefficiencies in the database. At worst, basing systems on such constructs destroys details that are unnecessary for accounting but that may facilitate decision making by other enterprise functional areas. McCarthy (1982) proposed the resources-events-agents (REA) framework as an alternative structure for a shared data environment more than thirty years ago, and scholars have further developed it such that it is now a robust design theory. Despite this legacy, the broad IS community has not widely researched REA. In this paper, we discuss REA’s genesis and primary constructs, provide a history of REA research, discuss REA’s impact on practice, and speculate as to what the future may hold for REA-based enterprise systems. We invite IS researchers to consider integrating REA constructs with other theories and various emerging technologies to help advance the future of information systems and business research