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Various organizational landscapes have evolved to improve their business processes, increase production speed and reduce the cost of distribution and have integrated their Internet with small and medium scale enterprises (SMEs) and third-party vendors to improve business growth and increase global market share, including changing organizational requirements and business process collaborations. Benefits include a reduction in the cost of production, online services, online payments, product distribution channels and delivery in a supply chain environment. However, the integration has led to an exponential increase in cybercrimes, with adversaries using various attack methods to penetrate and exploit the organizational network. Thus, identifying the attack vectors in the event of cyberattacks is very important in mitigating cybercrimes effectively and has become inevitable. However, the invincibility nature of cybercrimes makes it challenging to detect and predict the threat probabilities and the cascading impact in an evolving organization landscape leading to malware, ransomware, data theft and denial of service attacks, among others. The paper explores the cybercrime threat landscape, considers the impact of the attacks and identifies mitigating circumstances to improve security controls in an evolving organizational landscape.

The approach follows two main cybercrime framework design principles that focus on existing attack detection phases and proposes a cybercrime mitigation framework (CCMF) that uses detect, assess, analyze, evaluate and respond phases and subphases to reduce the attack surface. The methods and implementation processes were derived by identifying an organizational goal, attack vectors, threat landscape, identification of attacks and models and validation of framework standards to improve security. The novelty contribution of this paper is threefold: first, the authors explore the existing threat landscapes, various cybercrimes, models and the methods that adversaries are deploying on organizations. Second, the authors propose a threat model required for mitigating the risk factors. Finally, the authors recommend control mechanisms in line with security standards to improve security.

The results show that cybercrimes can be mitigated using a CCMF to detect, assess, analyze, evaluate and respond to cybercrimes to improve security in an evolving organizational threat landscape.

The paper does not consider the organizational size between large organizations and SMEs. The challenges facing the evolving organizational threat landscape include vulnerabilities brought about by the integrations of various network nodes. Factor influencing these vulnerabilities includes inadequate threat intelligence gathering, a lack of third-party auditing and inadequate control mechanisms leading to various manipulations, exploitations, exfiltration and obfuscations.

Attack methods are applied to a case study for the implementation to evaluate the model based on the design principles. Inadequate cyber threat intelligence (CTI) gathering, inadequate attack modeling and security misconfigurations are some of the key factors leading to practical implications in mitigating cybercrimes.

There are no social implications; however, cybercrimes have severe consequences for organizations and third-party vendors that integrate their network systems, leading to legal and reputational damage.

The paper’s originality considers mitigating cybercrimes in an evolving organization landscape that requires strategic, tactical and operational management imperative using the proposed framework phases, including detect, assess, analyze, evaluate and respond phases and subphases to reduce the attack surface, which is currently inadequate.

University students use web-based course registration systems to search, select, and register to courses. Despite having an important role at universities, course registration systems often pose usability problems to users. In this project, the authors assessed the usability of a web-based course registration system, proposed an improved model for such systems, and evaluated the model. The paper aims to discuss these issues.

The authors conducted a series of user studies to achieve the objectives. First, the authors performed a usability study to evaluate the course registration system at MacEwan University (myStudentSystem). Based on the study results, the authors designed and developed a prototype that addresses the limitations of the system. Second, the authors conducted a usability test to get feedback on the prototype and improve its design features accordingly. Finally, the authors performed a summative evaluation to assess the usability of the prototype and myStudentSystem.

The summative evaluation results showed that the design improved the overall system usability and user satisfaction. Most participants preferred the prototype to myStudentSystem.

The authors tested the prototype in controlled experimental settings, and the participants were limited to undergraduate students at MacEwan University. These conditions may limit the generalizability of the results. Further studies that deploy and test the prototype in the real world are necessary to validate findings.

Based on the studies, the authors outline guidelines for designing web-based course registration systems and advocate the use of new technologies to create highly interactive web applications. The authors' model can assist software developers in designing and implementing web-based course registration systems at universities.

The purpose of this paper is to present an innovative web-based eLearning platform called ICT-FLAG that provides e-assessment tools with general-purpose formative assessment services featuring learning analytics and gamification.

The paper reports on the technical development of the platform driven by the Reference Model for Open Distributed Processing software methodology, which guides the platform construction, including the analysis and design steps.

The ICT-FLAG platform is technically tested by integrating it into a real e-assessment tool. Results are positive in terms of functional and non-functional aspects as well as user’s satisfaction on usability, emotional state, thus validating the platform as a valuable educational tool.

Because of the chosen technical paper as article type, validation of the impact of the ICT-FLAG platform in the learning process is not provided. Ongoing research with this platform is to measure the learning outcomes of its use in a real context of eLearning.

The paper shows implications of the main technical issues and challenges encountered during the integration of the ICT-FLAG platform with external eLearning tools, involving relevant aspects of interoperability, security, modularity, scalability, portability and so on.

This platform can fill the gap of many e-assessment systems, which currently do not have built-in analytical and gamification tools for learning, thus providing them with the experience to improve the quality of education and learning.

The purpose of this study is to introduce several metrics that enable universal and fine-grained characterization of arbitrary Linked Data repositories. Publicly accessible SPARQL endpoints contain vast amounts of knowledge from a large variety of domains. However, oftentimes these endpoints are not configured to process specific workloads as efficiently as possible. Assisting users in leveraging SPARQL endpoints requires insight into functional and non-functional properties of these knowledge bases.

This study presents comprehensive approaches for deriving these metrics. More specifically, the study utilizes concrete SPARQL queries to determine corresponding values. Furthermore, it validates and discusses the introduced metrics through extensive evaluation on real-world SPARQL endpoints.

The evaluation determined that endpoints exhibit different characteristics. While it comes as no surprise that latency and throughput are influenced by the network infrastructure, the costs for join operations depend on a number of factors that are not obvious to a data consumer. Moreover, as the author discusses mean, median and upper quartile values, it was found both endpoints behaving consistently as well as repositories offering varying levels of performance.

On the one hand, the contribution of the authors work lies in assisting data consumers in evaluation of the quality of service of publicly available SPARQL endpoints. On the other hand, the performance metrics introduced in this study can also be considered as additional input features for distributed query processing frameworks. Moreover, the author provides a universal means for discerning characteristics of different SPARQL endpoints without the need of (synthetic or real-world) query workloads.

The purpose of this paper is to present Zeuss, a software-based tool designed to improve grammar learning process in elementary school children. Despite efforts by the Colombian Government, the results of the final high school test indicate that students have major deficiencies with language, grammar and reading comprehension. Several difficulties have been evidenced in activities like writing essays or understanding academic papers. Among the reasons that may lead to these results include outdated courses, overcrowded classrooms and lack of interest.

A diagnostic test is performed on third-grade elementary school students to assess the current grammar knowledge and identify areas for improvement. The test results are used to design a software-based tool called Zeuss. The authors include playful activities inspired by several pedagogic exercises found in the literature and personalization so that interaction is tailored to specific user preferences and tastes.

Zeuss has been tested with third-grade students of the Gimnasio Campestre San Francisco de Sales elementary school in Bogotá, Colombia. The results show that using the tool leads to an overall improvement in the grammar construction learning process.

Zeuss aims at improving the learning process in elementary schools helping teachers to overcome several limitations like overcrowded classrooms and outdated pedagogic strategies. Zeuss focuses specifically on the grammar learning process.

Zeuss features updated pedagogical strategies, playful activities and a personalization model to tailor the learning process and help in context. It also allows teachers to track individual and classroom progress.

In this work, a new general framework is proposed to guide navigation over a collaborative concept network, in order to discover paths between concepts. Finding semantic chains between concepts over a semantic network is an issue of great interest for many applications, such as explanation generation and query expansion. Collaborative concept networks over the web tend to have features such as large dimensions, high connectivity degree, dynamically evolution over the time, which represent special challenges for efficient graph search methods, since they result in huge memory requirements, high branching factors, unknown dimensions and high cost for accessing nodes. The paper aims to discuss these issues.

The proposed framework is based on the novel notion of heuristic semantic walk (HSW). In the HSW framework, a semantic proximity measure among concepts, reflecting the collective knowledge embedded in search engines or other statistical sources, is used as a heuristic in order to guide the search in the collaborative network. Different search strategies, information sources and proximity measures, can be used to adapt HSW to the collaborative semantic network under consideration.

Experiments held on the Wikipedia network and Bing search engine on a range of different semantic measures show that the proposed HSW approach with weighted randomized walk strategy outperforms state-of-the-art search methods.

To the best of the authors' knowledge, the proposed HSW model is the first approach which uses search engine-based proximity measures as heuristic for semantic search.

The purpose of this paper is to consider the method engineering perspective for service-oriented system engineering (SOSE). A number of SOSE methods have been proposed in both academia and industry. Given this, many intuitive, common questions arise. To answer these questions, many comparison frameworks have been developed. Each of which has considered certain methodological perspectives. However, less attention has been given to the method engineering (ME) perspective. The authors argue that this perspective would answer the question “what ME to apply in order to produce SOSE methods that themselves produce quality services at different levels of abstraction and SBAs”. This research question is further decomposed into other questions; the main one is “whether the existing ME do apply to service orientation”. Answering such a question would lead to either developing SOSE methods by using the existing ME or developing a new ME or framework for the specifics of SOSE.

This work first provides a literature review on ME approaches and techniques; then, it compares a sample of existing SOSE methods with respect to their ME within a comparison framework that comprises a set of relevant properties of a solution that would be provided by an SOSE method, namely, service-oriented architecture (SOA) adoption, quality of services and ME; and finally, it discusses the applicability of the existing ME to SOSE.

Strengths and weaknesses of the existing methods with respect to the aforementioned criteria, in addition to SOSE methodology open issues, were identified. The comparison has shown that while the existing SOSE methods have proved their success in a specific task, they still present some weaknesses. Therefore, it is better to benefit from the advantages of the existing ME techniques, notable method fragments, even if they need some alteration.

While this work has many open issues related to SOSE methods with respect to ME, it could be further developed in many directions by exploring the open issues. For instance, the generation of a new ME technique and application of this new ME technique to the existing SOSE methods to see to what extent the existing methods may be situational.

This work has practical implications, as it provides a better understanding of different views of SOSE methods, and assists the method engineers in deciding which ME technique is most suitable to their situation.

The produced artifact provides a research roadmap toward SOSE ME.

None of the existing comparison frameworks for SOSE methods has considered the criteria such as SOA adoption and ME techniques. Indeed, ME techniques and approaches would allow better reuse of the existing proven fragments of methods.

The purpose of this paper is to report on the web_access project, funded through the EC Lifelong Learning Programme. The paper aims to provide a context for the proposed study programme and describe current work in the development of the curriculum and content.

Analysis has been undertaken of the state of the art in education and training for accessible web design in the English language, starting with the national situation in the UK and then further‐a‐field by highlighting international resources. The main outcome of the two‐year multilateral, multi‐partner project is to develop a joint study programme in accessible web design.

While there is evidence of the inclusion of design for all in ICT teaching, as well as the provision of free and commercial tutorials and workshops, analysis has found provision to be fragmented and none to date has been identified as leading to a professional qualification or certificate in accessible web design that is recognised by industry or employers. The proposed curriculum for the study programme described in this paper aims to address this issue.

While there is evidence of the inclusion of design for all in ICT teaching, as well as the provision of free and commercial tutorials and workshops, analysis has found provision to be fragmented and none to date has been identified as leading to a professional qualification or certificate in accessible web design that is recognised by industry or employers.

Incorporating users’ behavior patterns could help in the ranking process. Different click models (CMs) are introduced to model the sophisticated search-time behavior of users among which commonly used the triple of attractiveness, examination and satisfaction. Inspired by this fact and considering the psychological definitions of these concepts, this paper aims to propose a novel learning to rank by redefining these concepts. The attractiveness and examination factors could be calculated using a limited subset of information retrieval (IR) features by the random forest algorithm, and then they are combined with each other to predicate the satisfaction factor which is considered as the relevance level.

The attractiveness and examination factors of a given document are usually considered as its perceived relevance and the fast scan of its snippet, respectively. Here, attractiveness and examination factors are regarded as the click-count and the investigation rate, respectively. Also, the satisfaction of a document is supposed to be the same as its relevance level for a given query. This idea is supported by the strong correlation between attractiveness-satisfaction and the examination-satisfaction. Applying random forest algorithm, the attractiveness and examination factors are calculated using a very limited set of the primitive features of query-document pairs. Then, by using the ordered weighted averaging operator, these factors are aggregated to estimate the satisfaction.

Experimental results on MSLR-WEB10K and WCL2R data sets show the superiority of this algorithm over the state-of-the-art ranking algorithms in terms of P@n and NDCG criteria. The enhancement is more noticeable in top-ranked items which are reviewed more by the users.

This paper proposes a novel learning to rank based on the redefinition of major building blocks of the CMs which are the attractiveness, examination and satisfactory. It proposes a method to use a very limited number of selected IR features to estimate the attractiveness and examination factors and then combines these factors to predicate the satisfactory which is regarded as the relevance level of a document with respect to a given query.

The purpose of this paper is to presents an interactive conjoint analysis Web-based system that allows the problems of traditional conjoint analysis to be avoided.In the case of a product with lot of parameters, respondents’ tacit preferences may be difficult to understand for marketing analysis. To get a precise analysis, respondents must be allowed to reconsider and correct by themselves their evaluations with an adapted tool.

This system also helps respondents to easily evaluate complex product profiles and to be involved in the evaluation process, which also leads to the creation of new knowledge for product design. As this system is designed for marketers and for respondents, this paper also presents the case of a product evaluation with attributes selectable by respondents.

This paper is based on empirical experiment to obtain an efficient design of our system. The authors propose different evaluation scenario to usersto decide the design of our system. The authors want to include users in our evaluation process; however, we found that too much liberty for users can interfere with our objective.

This paper present the design of our original system allowing to perform interactive conjoint analysis.