Abstract The Information Systems and Technologies (IST) in healthcare have evolved gradually, and theories about adoption and maturity of information systems and technologies are sufficiently established in the literature of organizational management. In this paper we make an approach to the evolution of IST in healthcare, introducing the concepts associated with maturity models, addressing the generic maturity model for IST management... The Information Systems and Technologies (IST) in healthcare have evolved gradually, and theories about adoption and maturity of information systems and technologies are sufficiently established in the literature of organizational management. In this paper we make an approach to the evolution of IST in healthcare, introducing the concepts associated with maturity models, addressing the generic maturity model for IST management and presenting the main maturity models specifically focusing on the management of IST in healthcare. Relatively to the last ones, we conclude that there is still a way to go for having available widespread and detailed maturity models. Read More Read Less

Abstract Both managers and researchers have long since recognized the need for information systems flexibility. Yet, despite this need, the process of managing flexibility in today’s information system of choice, specifically enterprise systems (ES), is not well understood. To better understand ES flexibility, this paper develops a conceptual framework to help manage ES flexibility in light of changing business processes, a... Both managers and researchers have long since recognized the need for information systems flexibility. Yet, despite this need, the process of managing flexibility in today’s information system of choice, specifically enterprise systems (ES), is not well understood. To better understand ES flexibility, this paper develops a conceptual framework to help manage ES flexibility in light of changing business processes, a turbulent business environment, and fast-paced technological changes. The conceptual model serves as a foundation to: (i) assess the impact of business and technological changes on the existing capability of the enterprise systems; (ii) identify measures to gauge the flexibility provided, demanded, and any resulting gap; and (iii) develop managerial recommendations on how to manage flexibility in ES from the perspectives of various stakeholders, including end-users and systems providers. Read More Read Less

Abstract Collaborative filtering systems have some limitations such as cold-start problems for a new user, a new resource or both. In this paper, we show that using semantic information describing users and resources can reduce the problems and lead to a better precision, coverage and quality for the recommendation engine. Semantic web is the infrastructure used for managing such semantic descriptions.... Collaborative filtering systems have some limitations such as cold-start problems for a new user, a new resource or both. In this paper, we show that using semantic information describing users and resources can reduce the problems and lead to a better precision, coverage and quality for the recommendation engine. Semantic web is the infrastructure used for managing such semantic descriptions. We have evaluated several strategies of filtering hybridization: weighting, adaptive change or switching and feature combination. Read More Read Less

Abstract Distributed systems can be very large and complex and the many different considerations which influence their design can result in a substantial body of specification, which needs a structuring framework if it is to be managed successfully. The purpose of the RM-ODP is to define such a framework. The Reference Model for Open Distributed Processing (RM-ODP) provides a framework within... Distributed systems can be very large and complex and the many different considerations which influence their design can result in a substantial body of specification, which needs a structuring framework if it is to be managed successfully. The purpose of the RM-ODP is to define such a framework. The Reference Model for Open Distributed Processing (RM-ODP) provides a framework within which support of distribution, inter-working and portability can be integrated. It defines: an object model, architectural concepts and architecture for the development of ODP systems in terms of five viewpoints. However, RM-ODP is a meta-norm, and several ODP standards have to be defined. Indeed, the viewpoint languages are abstract in sense that they define what concepts should be supported and not how these concepts should be represented using the UML/OCL meta-modeling approach. In this paper, we report on the definition and address of the syntax and semantics for a fragment of ODP object concepts defined in the RM-ODP foundations part and in the information language. These concepts are suitable for describing and constraining ODP information viewpoint specifications. Read More Read Less

Abstract This paper proposes a detection method for social periodicities from time series data and implementation using Hadoop to handle massive data collected from online media, such as news articles and blogs including spams. The data is collected from Japanese blogs and news sites. Spam blogs are then separated from legitimate blogs using a spam filtering system. To find differences among... This paper proposes a detection method for social periodicities from time series data and implementation using Hadoop to handle massive data collected from online media, such as news articles and blogs including spams. The data is collected from Japanese blogs and news sites. Spam blogs are then separated from legitimate blogs using a spam filtering system. To find differences among the three sources, an algorithm is developed to detect periodicities based on autocorrelation. To analyze the vast amount of data, this detection method employs Hadoop, a distributed storage and processing system. To analyze information sources in terms of quantitative aspects, the information sources are characterized by keyword distributions of periodicities. In addition, in order to analyze the three information sources qualitatively, representative keywords of each source are identified in terms of the sum of multiplied adjacent differences in autocorrelation. The results obtained using this detection method indicate that periodic blog topics is apt to be TV programs, hobbies, and social events; periodic news topics tend to be political and economic events; and periodic topics in spam is likely to be automatically copied-and-pasted e-mail newsletters and affiliate offers. Read More Read Less