Abstract Today, many of our daily tasks are accomplished through the use of E-services that require user’s authentication based on specific number of digital identity attributes.These attributes are dependent to particular context of an Eservices provider. For an end-user, different E-services may require different sets of attributes, which reside in multiple locations. More often digital identity attributes aggregation or cohesion is... Today, many of our daily tasks are accomplished through the use of E-services that require user’s authentication based on specific number of digital identity attributes.These attributes are dependent to particular context of an Eservices provider. For an end-user, different E-services may require different sets of attributes, which reside in multiple locations. More often digital identity attributes aggregation or cohesion is needed to establish trust during the authentication process when accessing E-services. In this paper, we provide a literature review of major issues and challenges related to digital identity cohesion. In the first line, we lay a particular emphasis on technical issues and in the second line we provide an overview of major economic and ethical challenges Read More Read Less

Abstract The process of carrying out medical research involves time consuming and labor intensive tasks. There is a need to enhance the present scenario of medical research by using upcoming technologies. Most current computerized vocabularies use completely incompatible ways of classifying diseases. One vocabulary might organize certain diseases as acute or chronic, another might organize some disease based on the location.... The process of carrying out medical research involves time consuming and labor intensive tasks. There is a need to enhance the present scenario of medical research by using upcoming technologies. Most current computerized vocabularies use completely incompatible ways of classifying diseases. One vocabulary might organize certain diseases as acute or chronic, another might organize some disease based on the location. The Unified Medical Language System (UMLS) is an attempt to unify all medical vocabularies into a single hierarchy, like a kind of super-thesaurus, however the UMLS forgoes any attempt to organize information into a logically rigorous fashion. The aim of the project is to design a tool which would integrate UMLS and concept map technology. This tool could be used to cope up with the incredible chaos .The researchers can represent an idea or a concept in a graphical format, linking all the concepts together, resembling a growing neural network, effectively using the C-Map tools. The tool allows the conceptual information to be automatically converted into OWL and RDF [1], as needed and then into a concept map. Read More Read Less

Abstract It is evident that a collaboration framework to support the participants to realise the workflow of business process transaction regarding the message exchange is important. In the current study, the collaboration framework is implemented into functional management layers: business process, ontology and technical layer. In ontology management layer, a collaboration ontology is created and used for realising the collaboration messages.... It is evident that a collaboration framework to support the participants to realise the workflow of business process transaction regarding the message exchange is important. In the current study, the collaboration framework is implemented into functional management layers: business process, ontology and technical layer. In ontology management layer, a collaboration ontology is created and used for realising the collaboration messages. The sequence diagram and state diagram are designed according the requirement of business process management to model the collaboration flow. In technical management layer, the framework is implemented on the JMS messaging platform. A scenario of logistics collaboration is demonstrated and it shows that effective collaboration can be achieved. In addition, a discussion of job tracking is presented to suggest how the system benefits from the ontology-based collaboration description. Read More Read Less

Abstract It has been observed in the literature that social networks have characteristics such as assortative mixing, high clustering, short average path lengths, broad degree distributions and the existence of community structure. In our study we designed a model in academic collaboration’ which satisfies all the above characteristics, based on some existing social network models. In addition, this model facilitates interaction... It has been observed in the literature that social networks have characteristics such as assortative mixing, high clustering, short average path lengths, broad degree distributions and the existence of community structure. In our study we designed a model in academic collaboration’ which satisfies all the above characteristics, based on some existing social network models. In addition, this model facilitates interaction between various communities (academic/ research groups). This model gives very high clustering coefficient by retaining the asymptotically scale-free degree distribution. Here the community structure is raised from a mixture of random attachment and implicit preferential attachment. In addition to earlier works which only considered Neighbor of Initial Contact (NIC) as implicit preferential contact, we have considered Neighbor of Neighbor of Initial Contact (NNIC) also. This model supports the occurrence of a contact between two Initial contacts if the new vertex chooses more than one initial contacts. This ultimately will develop a complex social network rather than the one that was taken as basic reference. Read More Read Less

Abstract Repositories are being popular as places for publication of research outputs. To make more efficient use of scholarly information on the internet, repositories are required to cooperate with other databases. One of the essential processes of the cooperation is identification of scholarly papers and their authors. The straightforward approach is string matching of the title and authors’ name, however this... Repositories are being popular as places for publication of research outputs. To make more efficient use of scholarly information on the internet, repositories are required to cooperate with other databases. One of the essential processes of the cooperation is identification of scholarly papers and their authors. The straightforward approach is string matching of the title and authors’ name, however this approach cannot always solve the difficulties by basic clerical errors and same names. This paper proposes a method to compensate for the inaccuracy of the identification by connecting different databases. The main idea of the method is that different metadata of a scholarly paper is linked by the authors themselves, therefore the correspondence is guaranteed by the authors. Read More Read Less