Towards a fuzzy domain ontology extraction method for adaptive e-learning

With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance e-Learning

Using concept similarity in cross ontology for adaptive e-Learning systems

Abstracte-Learning is one of the most preferred media of learning by the learners. The learners search the web to gather knowledge about a particular topic from the information in the repositories. Retrieval of relevant materials from a domain can be easily implemented if the information is organized and related in some way. Ontologies are a key concept that helps us to relate information for providing the more relevant lessons to the learner. This paper proposes an adaptive e-Learning system, which generates a user specific e-Learning content by comparing the concepts with more than one system using similarity measures. A cross ontology measure is defined, which consists of fuzzy domain ontology as the primary ontology and the domain expert’s ontology as the secondary ontology, for the comparison process. A personalized document is provided to the user with a user profile, which includes the data obtained from the processing of the proposed method under a User score, which is obtained through the user evaluation. The results of the proposed e-Learning system under the designed cross ontology similarity measure show a significant increase in performance and accuracy under different conditions. The assessment of the comparative analysis, showed the difference in performance of our proposed method over other methods. Based on the assessment results it is proved that the proposed approach is effective over other methods

Industrial Symbiosis Recommender Systems

For a long time, humanity has lived upon the paradigm that the amounts of natural resources are unlimited and that the environment has ample regenerative capacity. However, the notion to shift towards sustainability has resulted in a worldwide adoption of policies addressing resource efficiency and preservation of natural resources.One of the key environmental and economic sustainable operations that is currently promoted and enacted in the European Union policy is Industrial Symbiosis. In industrial symbiosis, firms aim to reduce the total material and energy footprint by circulating traditional secondary production process outputs of firms to become part of an input for the production process of other firms.This thesis directs attention to the design considerations for recommender systems in the highly dynamic domain of industrial symbiosis. Recommender systems are a promising technology that may facilitate in multiple facets of the industrial symbiosis creation as they reduce the complexity of decision making. This typical strength of recommender systems has been responsible for improved sales and a higher return of investments. That provides the prospect for industrial symbiosis recommenders to increase the number of synergistic transactions that reduce the total environmental impact of the process industry in particular

Deliverable D4.1 Specification of user profiling and contextualisation

This deliverable presents a comprehensive research of past work in the field of capturing and interpreting user preferences and context and an overview of relevant digital media-specific techniques, aiming to provide insights and ideas for innovative context-aware user preference learning and to justify the user modelling strategies considered within LinkedTV’s WP4. Based on this research and a study over the specific technical and conceptual requirements of LinkedTV, a prototypical design for profiling and contextualizing user needs in a linked media environment is specified

Fuzzy concept analysis for semantic knowledge extraction

2010 - 2011Availability of controlled vocabularies, ontologies, and so on is enabling feature to provide some added values in terms of knowledge management. Nevertheless, the design, maintenance and construction of domain ontologies are a human intensive and time consuming task. The Knowledge Extraction consists of automatic techniques aimed to identify and to define relevant concepts and relations of the domain of interest by analyzing structured (relational databases, XML) and unstructured (text, documents, images) sources. Specifically, methodology for knowledge extraction defined in this research work is aimed at enabling automatic ontology/taxonomy construction from existing resources in order to obtain useful information. For instance, the experimental results take into account data produced with Web 2.0 tools (e.g., RSS-Feed, Enterprise Wiki, Corporate Blog, etc.), text documents, and so on. Final results of Knowledge Extraction methodology are taxonomies or ontologies represented in a machine oriented manner by means of semantic web technologies, such as: RDFS, OWL and SKOS. The resulting knowledge models have been applied to different goals. On the one hand, the methodology has been applied in order to extract ontologies and taxonomies and to semantically annotate text. On the other hand, the resulting ontologies and taxonomies are exploited in order to enhance information retrieval performance and to categorize incoming data and to provide an easy way to find interesting resources (such as faceted browsing). Specifically, following objectives have been addressed in this research work: Ontology/Taxonomy Extraction: that concerns to automatic extraction of hierarchical conceptualizations (i.e., taxonomies) and relations expressed by means typical description logic constructs (i.e., ontologies). Information Retrieval: definition of a technique to perform concept-based the retrieval of information according to the user queries. Faceted Browsing: in order to automatically provide faceted browsing capabilities according to the categorization of the extracted contents. Semantic Annotation: definition of a text analysis process, aimed to automatically annotate subjects and predicates identified. The experimental results have been obtained in some application domains: e-learning, enterprise human resource management, clinical decision support system. Future challenges go in the following directions: investigate approaches to support ontology alignment and merging applied to knowledge management.X n.s

Enterprise 2.0: Collaboration and Knowledge Emergence as a Business Web Strategy Enabler

The Web is becoming in many respects a powerful tool for supporting business strategy as companies are quickly becoming more and more reliant on new Web-based technologies to capitalize on new business opportunities. However, this introduces additional managerial problems and risks that have to be taken into consideration, if they are not to be left behind. In this chapter we explore the Web’s present and future potential in relation to information sharing, knowledge management, innovation management, and the automation of cross-organizational business transactions. The suggested approach will provide entrepreneurs, managers, and IT leaders with guidance on how to adopt the latest Web 2.0-based technologies in their everyday work with a view to setting up a business Web strategy. Specifically, Enterprise 2.0 is presented as a key enabler for businesses to expand their ecosystems and partnerships. Enterprise 2.0 also acts as a catalyst for improving innovation processes and knowledge work

Eliciting Security Requirements and Tracing them to Design: An Integration of Common Criteria, Heuristics, and UMLsec

Building secure systems is difficult for many reasons. This paper deals with two of the main challenges: (i) the lack of security expertise in development teams, and (ii) the inadequacy of existing methodologies to support developers who are not security experts. The security standard ISO 14508 (Common Criteria) together with secure design techniques such as UMLsec can provide the security expertise, knowledge, and guidelines that are needed. However, security expertise and guidelines are not stated explicitly in the Common Criteria. They are rather phrased in security domain terminology and difficult to understand for developers. This means that some general security and secure design expertise are required to fully take advantage of the Common Criteria and UMLsec. In addition, there is the problem of tracing security requirements and objectives into solution design,which is needed for proof of requirements fulfilment. This paper describes a security requirements engineering methodology called SecReq. SecReq combines three techniques: the Common Criteria, the heuristic requirements editorHeRA, andUMLsec. SecReqmakes systematic use of the security engineering knowledge contained in the Common Criteria and UMLsec, as well as security-related heuristics in the HeRA tool. The integrated SecReq method supports early detection of security-related issues (HeRA), their systematic refinement guided by the Common Criteria, and the ability to trace security requirements into UML design models. A feedback loop helps reusing experiencewithin SecReq and turns the approach into an iterative process for the secure system life-cycle, also in the presence of system evolution

Supporting Multiple Stakeholders in Agile Development

Agile software development practices require several stakeholders with different kinds of expertise to collaborate while specifying requirements, designing and modeling software, and verifying whether developers have implemented requirements correctly. We studied 112 requirements engineering (RE) tools from academia and the features of 13 actively maintained behavior-driven development (BDD) tools, which support various stakeholders in specifying and verifying the application behavior. Overall, we found that there is a growing tool specialization targeted towards a specific type of stakeholders. Particularly with BDD tools, we found no adequate support for non-technical stakeholders —- they are required to use an integrated development environment (IDE) —- which is not adapted to suit their expertise. We argue that employing separate tools for requirements specification, modeling, implementation, and verification is counter-productive for agile development. Such an approach makes it difficult to manage associated artifacts and support rapid implementation and feedback loops. To avoid dispersion of requirements and other software-related artifacts among separate tools, establish traceability between requirements and the application source code, and streamline a collaborative software development workflow, we propose to adapt an IDE as an agile development platform. With our approach, we provide in-IDE graphical interfaces to support non-technical stakeholders in creating and maintaining requirements concurrently with the implementation. With such graphical interfaces, we also guide non-technical stakeholders through the object-oriented design process and support them in verifying the modeled behavior. This approach has two advantages: (i) compared with employing separate tools, creating and maintaining requirements directly within a development platform eliminates the necessity to recover trace links, and (ii) various natively created artifacts can be composed into stakeholder-specific interactive live in-IDE documentation. These advantages have a direct impact on how various stakeholders collaborate with each other, and allow for rapid feedback, which is much desired in agile practices. We exemplify our approach using the Glamorous Toolkit IDE. Moreover, the discussed building blocks can be implemented in any IDE with a rich-enough graphical engine and reflective capabilities

Supporting multiple stakeholders in agile development

Agile software development practices require several stakeholders with different kinds of expertise to collaborate while specifying requirements, designing, and modelling software, and verifying whether developers have implemented requirements correctly. We studied 112 requirements engineering (RE) tools from academia and the features of 13 actively maintained behavior-driven development (BDD) tools, which support various stakeholders in specifying and verifying the application behavior. Overall, we found that there is a growing tool specialization targeted towards a specific type of stakeholders. Particularly with BDD tools, we found no adequate support for non-technical stakeholders-- they are required to use an integrated development environment (IDE)-- which is not adapted to suit their expertise. We argue that employing separate tools for requirements specification, modelling, implementation, and verification is counterproductive for agile development. Such an approach makes it difficult to manage associated artifacts and support rapid implementation and feedback loops. To avoid dispersion of requirements and other software-related artifacts among separate tools, establish traceability between requirements and the application source code, and streamline a collaborative software development workflow, we propose to adapt an IDE as an agile development platform. With our approach, we provide in-IDE graphical interfaces to support non-technical stakeholders in creating and maintaining requirements concurrently with the implementation. With such graphical interfaces, we also guide non-technical stakeholders through the object-oriented design process and support them in verifying the modelled behavior. This approach has two advantages: (i) compared with employing separate tools, creating, and maintaining requirements directly within a development platform eliminates the necessity to recover trace links, and (ii) various natively created artifacts can be composed into stakeholder-specific interactive live in-IDE documentation. These advantages have a direct impact on how various stakeholders collaborate with each other, and allow for rapid feedback, which is much desired in agile practices. We exemplify our approach using the Glamorous Toolkit IDE. Moreover, the discussed building blocks can be implemented in any IDE with a rich-enough graphical engine and reflective capabilities