Semantic Modeling of Analytic-based Relationships with Direct Qualification

Successfully modeling state and analytics-based semantic relationships of documents enhances representation, importance, relevancy, provenience, and priority of the document. These attributes are the core elements that form the machine-based knowledge representation for documents. However, modeling document relationships that can change over time can be inelegant, limited, complex or overly burdensome for semantic technologies. In this paper, we present Direct Qualification (DQ), an approach for modeling any semantically referenced document, concept, or named graph with results from associated applied analytics. The proposed approach supplements the traditional subject-object relationships by providing a third leg to the relationship; the qualification of how and why the relationship exists. To illustrate, we show a prototype of an event-based system with a realistic use case for applying DQ to relevancy analytics of PageRank and Hyperlink-Induced Topic Search (HITS).Comment: Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015

An Ontological Analysis of Use Case Modeling Grammar

Use case modeling is a popular technique for representing the functional requirements of an information system. The simple graphical notation of use case diagrams, accompanied by well-structured narrative descriptions, makes use case models fairly easy to read and understand. This simplicity, however, belies the challenges associated with creating use case models. There is little, if any, theory underlying use cases, and little more than loose guidelines for creating a complete, consistent, and integrated set of use cases. We argue that there is a need for more rigor and consistency in the grammatical constructs used in use case modeling. Toward this end, we present a theoretically- and practice-based assessment of use case modeling constructs, and make recommendations for future research to improve and strengthen this technique

Integration of ontologies with decentralized autonomous organizations development: A systematic literature review

This paper presents a systematic literature review of the integration of ontologies into the Decentralized Autonomous Organization (DAO) development process. The review extracted data from 34 primary studies dealing with ontologies in the blockchain domain. DAO has become a key concept for the development of blockchain-based decentralized software systems. DAOs are seen as a positive alternative for organizations interested in the adoption of decentralized, reliable and transparent governance, as well as attracting the interest of academic research. However, there is no common understanding or generally accepted formal definition of a DAO, and the guidelines that provide support for the adoption and development of DAOs are limited to a few key references that lack the computational semantics needed to enable their automated validation, simulation or execution. Thus, the objective of this paper is to provide an unbiased and up-to-date review related to the integration of ontologies within DAOs which helps to identify new research opportunities and take advantage of this integration from a blockchain-based decentralized perspective

A framework for decision making on teleexpertise with traceability of the reasoning

This paper provides a methodological framework for decision making process to ensure its traceability generally in the context of telemedicine and particularly in the act of teleexpertise. This act permits to medical professionals and/or health professionals to collaborate in order to take suitable decisions for a patient diagnosis or treatment. The main problem dealing with teleexpertise is the following: How to ensure the traceability of the decisions making process? This problem is solved in this paper through a conceptualisation of a rigorous framework coupling semantic modelling and explicit reasoning which permits to fully support the analysis and rationale for decisions made. The logical semantic underlying this framework is the argumentative logicto provide adequate management of information with traceability of the reasoning including options and constraints. Thus our proposal will permit to formally ensure the traceability of reasoning in telemedicine and particularly in teleexpertise in order to favour the quality of telemedicine’s procedure checking. This traceability is to guarantee equitable access to the benefits of the collective knowledge and experience and to provide remote collaborative practices with a sufficient safety margin to guard against the legal requirements. An illustrative case study is provided by the modelling of a decision making process applied to teleexpertise for chronic diseases such as diabetes mellitus type2

Analytical metadata modeling for next generation BI systems

Business Intelligence (BI) systems are extensively used as in-house solutions to support decision-making in organizations. Next generation BI 2.0 systems claim for expanding the use of BI solutions to external data sources and assisting the user in conducting data analysis. In this context, the Analytical Metadata (AM) framework defines the metadata artifacts (e.g., schema and queries) that are exploited for user assistance purposes. As such artifacts are typically handled in ad-hoc and system specific manners, BI 2.0 argues for a flexible solution supporting metadata exploration across different systems. In this paper, we focus on the AM modeling. We propose SM4AM, an RDF-based Semantic Metamodel for AM. On the one hand, we claim for ontological metamodeling as the proper solution, instead of a fixed universal model, due to (meta)data models heterogeneity in BI 2.0. On the other hand, RDF provides means for facilitating defining and sharing flexible metadata representations. Furthermore, we provide a method to instantiate our metamodel. Finally, we present a real-world case study and discuss how SM4AM, specially the schema and query artifacts, can help traversing different models instantiating our metamodel and enabling innovative means to explore external repositories in what we call metamodel-driven (meta)data exploration.Peer ReviewedPostprint (author's final draft

GoBIS: An integrated framework to analyse the goal and business process perspectives in information systems

[EN] Context Organisational reengineering, continuous process improvement, alignment among complementary analysis perspectives, and information traceability are some current motivations to promote investment and scientific effort for integrating goal and business process perspectives. Providing support to integrate information systems analysis becomes a challenge in this complex setting. Objective The GoBIS framework integrates two goal and business process modelling approaches: i⁎ (a goal-oriented modelling method) and Communication Analysis (a communication-oriented business process modelling method). Method In this paper, we describe the methodological integration of both methods with the aim of fulfilling several criteria: i) to rely on appropriate theories; ii) to provide abstract and concrete syntaxes; iii) to provide scenarios of application; iv) to develop tool support; v) to provide demonstrable benefits to potential adopters. Results We provide guidelines for using the two modelling methods in a top-down analysis scenario. The guidelines are validated by means of a comparative experiment and a focus-group session with students. Conclusions From a practitioner viewpoint (modeller and/or analyst), the guidelines facilitate the traceability between goal and business process models, the experimental results highlight the benefits of GoBIS in performance and usability perceptions, and demonstrate an improvement on the completeness of the latter having an impact on efficiency. From a researcher perspective, the validation has produced useful feedback for future research.This work has been supported by the Spanish MICINN Project ProS-Req (TIN2010-19130-C02-01, TIN2010-19130-C02-02) and EOSSAC (TIN2013-44641-P); the Generalitat Valenciana Project IDEO (PROMETEOII/2014/039); the FPI-UPV Pre-Doctoral Grant; the European Commission Project CaaS (FP7 611351); and the ERDF Structural Funds.Ruiz Carmona, LM.; Costal, D.; España Cubillo, S.; Franch, X.; Pastor López, O. (2015). GoBIS: An integrated framework to analyse the goal and business process perspectives in information systems. Information Systems. 53:330-345. https://doi.org/10.1016/j.is.2015.03.007S3303455

Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications

Requirement volatility is an issue in software engineering in general, and in Web-based clinical applications in particular, which often originates from an incomplete knowledge of the domain of interest. With advances in the health science, many features and functionalities need to be added to, or removed from, existing software applications in the biomedical domain. At the same time, the increasing complexity of biomedical systems makes them more difficult to understand, and consequently it is more difficult to define their requirements, which contributes considerably to their volatility. In this paper, we present a novel agent-based approach for analyzing and managing volatile and dynamic requirements in an ontology-driven laboratory information management system (LIMS) designed for Web-based case reporting in medical mycology. The proposed framework is empowered with ontologies and formalized using category theory to provide a deep and common understanding of the functional and nonfunctional requirement hierarchies and their interrelations, and to trace the effects of a change on the conceptual framework.Comment: 36 Pages, 16 Figure

Integrating the goal and business process perspectives in information system analysis

There are several motivations to promote investment and scientific effort in the integration of intentional and operational perspectives: organisational reengineering, continuous improvement of business processes, alignment among complementary analysis perspectives, information traceability, etc. In this paper we propose the integration of two modelling languages that support the creation of goal and business process models: the i* goal-oriented modelling method and Communication Analysis, a communication-oriented business process modelling method. We describe the methodological integration of the two modelling methods with the aim of fulfilling several criteria: i) to rely on appropriate theories; ii) to provide abstract and concrete syntaxes; iii) to provide scenarios of application; and iv) to develop tool support. We provide guidelines for using the two modelling methods in a top-down analysis scenario. We also present an illustrative case that demonstrates the feasibility of the approach.Peer ReviewedPostprint (author's final draft