Ontology-driven conceptual modeling: A'systematic literature mapping and review

All rights reserved. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research

E-gov Transparency Implementation Using Multi-agent System: a Brazilian Study-Case in Lawsuit Distribution Process

Electronic government (e-gov) processes need transparency in order to allow citizens to access, understand and verify valuable information in a democratic society. As a crosscutting characteristic, transparency should be present in different e-gov perspectives, such as business processes, information, business rules and information systems. Thus, in this article, we present a multi-agent system (MAS) to implement transparent lawsuit distribution process. We demonstrate that the MAS paradigm emphasizes the organizational operating environment and the information systems alignment, being adequate to implement process transparency under a Brazilian study-case in lawsuit distribution that used real data from the Superior Labor Court of Brazil. The Tropos agent-oriented software development methodology is used to define the hard and soft goals of agents. The MAS architecture and the prototype were defined and implemented using JADE Framework

Domain analysis for supporting commercial off-the-shelf components selection

Though new technological trends and paradigms arise for developing complex software systems, systematic reuse continues to be an elusive goal. As a consequence, the need for designing effective strategies for enabling large-scale reuse, whilst overcoming the risks involved in the use of a particular technology, still remains. In this context, the adoption of the Commercial Off-The-Shelf (COTS) technology introduces many challenges that still have not been fully overcome, such as the lack of comprehensive mechanisms to record and manage the required information for supporting COTS components selection. In this paper we present a domain analysis strategy for gathering the information needed to describe COTS market segments in a way that COTS components selection becomes more effective and efficient. Due to the diversity of the information to capture, we propose different dimensions of interest for COTS selection that are covered by different domain models. These models are articulated by means of a single framework based on a widespread software quality standard.Postprint (published version

A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability

The Internet-of-Things (IoT) has become an important topic among researchers owing to its potential to change the way we live and use smart devices. In recent years, many research work found in the world are interrelated and convey via the existing web structure which makes a worldwide system called IoT. This study focused on the significant improvement of answers for a wider scope of gadgets and the Internet of Things IoT stages in recent years. In any case, each arrangement gives its very own IoT framework, gadgets, APIs, and information configurations promoting interoperability issues. These issues are the outcome of numerous basic issues, difficulty to create IoT application uncovering cross-stage, and additionally cross-space, trouble in connecting non-interoperable IoT gadgets to various IoT stages, what's more, eventually averts the development of IoT innovation at an enormous scale. To authorize consistent data sharing between various IoT vendors, endeavors by a few academia, industrial, and institutional groups have accelerated to support IoT interoperability. This paper plays out a far-reaching study on the cutting-edge answers for encouraging interoperability between various IoT stages. Likewise, the key difficulties in this theme are introduced

A Quality Model in a Quality Evaluation Framework for MDWE methodologies

Nowadays, diverse development methodologies exist in the field of Model-Driven Web Engineering (MDWE), each of which covers different levels of abstraction on Model-Driven Architecture (MDA): CIM, PIM, PSM and Code. Given the high number of methodologies available, it is necessary to evaluate the quality of existing methodologies and provide helpful information to the developers. Furthermore, proposals are constantly appearing and the need may arise not only to evaluate the quality but also to find out how it can be improved. In this context, QuEF (Quality Evaluation Framework) can be employed to assess the quality of MDWE methodologies. This article presents the work being carried out and describes tasks to define a Quality Model component for QuEF. This component would be responsible for providing the basis for specifying quality requirements with the purpose of evaluating quality.Ministerio de Educación y Ciencia TIN2007-67843-C06-03Ministerio de Educación y Ciencia TIN2007-30391-

A formal ontology for industrial maintenance

International audienceThe rapid advancement of information and communication technologies has resulted in a variety of maintenance support systems and tools covering all sub-domains of maintenance. Most of these systems are based on different models that are sometimes redundant or incoherent and always heterogeneous. This problem has lead to the development of maintenance platforms integrating all of these support systems. The main problem confronted by these integration platforms is to provide semantic interoperability between different applications within the same environment. In this aim, we have developed an ontology for the field of industrial maintenance, adopting the METHONTOLOGY approach to manage the life cycle development of this ontology, that we have called IMAMO (Industrial MAintenance Management Ontology). This ontology can be used not only to ensure semantic interoperability but also to generate new knowledge that supports decision making in the maintenance process. This paper provides and discusses some tests so as to evaluate the ontology and to show how it can ensure semantic interoperability and generate new knowledge within the platform

HeyTAP: Bridging the Gaps Between Users' Needs and Technology in IF-THEN Rules via Conversation

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of IF-THEN rules. Unfortunately, how to make such a personalization effective and appreciated is still largely unknown. On the one hand, contemporary platforms to compose IF-THEN rules adopt representation models that strongly depend on the exploited technologies, thus making end-user personalization a complex task. On the other hand, the usage of technology-independent rules envisioned by recent studies opens up new questions, and the identification of available connected entities able to execute abstract users' needs become crucial. To this end, we present HeyTAP, a conversational and semantic-powered trigger-action programming platform able to map abstract users' needs to executable IF-THEN rules. By interacting with a conversational agent, the user communicates her personalization intentions and preferences. User's inputs, along with contextual and semantic information related to the available connected entities, are then used to recommend a set of IF-THEN rules that satisfies the user's needs. An exploratory study on 8 end users preliminary confirms the effectiveness and the appreciation of the approach, and shows that HeyTAP can successfully guide users from their needs to specific rules

Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review

Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and semi-structured data sources using Semantic Web technologies. The review takes into account four prominent publication venues, namely, Extended Semantic Web Conference, International Semantic Web Conference, Journal of Web Semantics, and Semantic Web Journal. The review highlights the tools, methods, types of data sources, ontologies, and publication methods, together with the challenges, limitations, and lessons learned in the knowledge graph creation processes.publishedVersio