The contribution of data mining to information science

The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge. In the past several years, data mining has made a significant contribution to the field of information science. This paper examines the impact of data mining by reviewing existing applications, including personalized environments, electronic commerce, and search engines. For these three types of application, how data mining can enhance their functions is discussed. The reader of this paper is expected to get an overview of the state of the art research associated with these applications. Furthermore, we identify the limitations of current work and raise several directions for future research

A matching approach to business services and software services

Recent studies have shown that service-oriented architecture (SOA) has the potential to revive enterprise legacy systems (Cai et al., 2011; Gaševic and Hatala, 2010; De Castro et al., 2011; Chengjun, 2008; Elgedawy, 2009; Tian et al., 2007; Chen et al., 2009; Zhang et al., 2006; Sindhgatta and Ponnalagu, 2008; Khadka, 2011), making their continued service in the corporate world viable. In the process of reengineering legacy systems to service-oriented architecture, some software services extracted in legacy system can be reused to implement business services in target systems. In order to achieve efficient reuse to software services, a matching approach is proposed to extract the software services related to specified business services, where service semantics and structure similarity measures are integrated to evaluate the similarity degree between business service and software services. Experiments indicate that the approach can efficiently map business services to relevant software services, and then legacy systems can be reused as much as possible

Linking Disability and Intercultural Studies: the adaptation journey of the visually impaired migrant in Ireland

This study focuses on the lived experiences of the visually impaired migrant in Ireland and this is the first study to document the lives of these members of Irish society. It examines how visually impaired migrants are simultaneously adapting to their disability and a new cultural environment while living in Ireland. In so doing this study aims to link the two academic fields of Intercultural Studies and Disability Studies and theoretical underpinnings for this study are drawn and woven together from both fields. As such this study draws from the development of theories relating to disability as well as the intercultural aspects of migration. Qualitative in-depth semi-structured interviews were conducted with 22 participants living in the larger Dublin region, which comprised of two groups; migrant users and providers of services for the visually impaired. Data analysis was assisted through the software package Atlas.ti. A grounded theory approach to collecting and analysing data was adopted as this facilitates the flow from raw data to codes to concepts. Purposive sampling was employed and the typical method of grounded theory of constant comparison was not used, rather interviews were analysed individually once they were all completed then compared. Research findings indicate that the cultural perceptions of disability may help or hinder the individual’s adaptation process both to their visual impairment and to living and integrating into a new culture in Ireland. Findings cluster around the three areas of cultural perceptions of disability, support networks and cultural barriers to adaptation. Synergising theoretical concepts and data steered the development of a new integrative model which identifies the inhibitors and facilitators for the process of adaptation to visual impairment for a migrant in Ireland

Forum Session at the First International Conference on Service Oriented Computing (ICSOC03)

The First International Conference on Service Oriented Computing (ICSOC) was held in Trento, December 15-18, 2003. The focus of the conference ---Service Oriented Computing (SOC)--- is the new emerging paradigm for distributed computing and e-business processing that has evolved from object-oriented and component computing to enable building agile networks of collaborating business applications distributed within and across organizational boundaries. Of the 181 papers submitted to the ICSOC conference, 10 were selected for the forum session which took place on December the 16th, 2003. The papers were chosen based on their technical quality, originality, relevance to SOC and for their nature of being best suited for a poster presentation or a demonstration. This technical report contains the 10 papers presented during the forum session at the ICSOC conference. In particular, the last two papers in the report ere submitted as industrial papers

CBR and MBR techniques: review for an application in the emergencies domain

The purpose of this document is to provide an in-depth analysis of current reasoning engine practice and the integration strategies of Case Based Reasoning and Model Based Reasoning that will be used in the design and development of the RIMSAT system. RIMSAT (Remote Intelligent Management Support and Training) is a European Commission funded project designed to: a.. Provide an innovative, 'intelligent', knowledge based solution aimed at improving the quality of critical decisions b.. Enhance the competencies and responsiveness of individuals and organisations involved in highly complex, safety critical incidents - irrespective of their location. In other words, RIMSAT aims to design and implement a decision support system that using Case Base Reasoning as well as Model Base Reasoning technology is applied in the management of emergency situations. This document is part of a deliverable for RIMSAT project, and although it has been done in close contact with the requirements of the project, it provides an overview wide enough for providing a state of the art in integration strategies between CBR and MBR technologies.Postprint (published version

Extended Fuzzy Clustering Algorithms

Fuzzy clustering is a widely applied method for obtaining fuzzy models from data. Ithas been applied successfully in various fields including finance and marketing. Despitethe successful applications, there are a number of issues that must be dealt with in practicalapplications of fuzzy clustering algorithms. This technical report proposes two extensionsto the objective function based fuzzy clustering for dealing with these issues. First, the(point) prototypes are extended to hypervolumes whose size is determined automaticallyfrom the data being clustered. These prototypes are shown to be less sensitive to a biasin the distribution of the data. Second, cluster merging by assessing the similarity amongthe clusters during optimization is introduced. Starting with an over-estimated number ofclusters in the data, similar clusters are merged during clustering in order to obtain a suitablepartitioning of the data. An adaptive threshold for merging is introduced. The proposedextensions are applied to Gustafson-Kessel and fuzzy c-means algorithms, and the resultingextended algorithms are given. The properties of the new algorithms are illustrated invarious examples.fuzzy clustering;cluster merging;similarity;volume prototypes

The road from community ideas to organisational innovation: A life cycle survey of idea management systems

This paper introduces a new emerging software component, the idea management system, which helps to gather, organise, select and manage the innovative ideas provided by the communities gathered around organisations or enterprises. We define the notion of the idea life cycle, which provides a framework for characterising tools and techniques that drive the evolution of community submitted data inside idea management systems. Furthermore, we show the dependencies between the community-created information and the enterprise processes that are a result of using idea management systems and point out the possible benefits