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Semantic Web

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Publications

  • 2020
    Kalthoum Rezgui, Hédia Sellemi

    A blockchain-based smart contracts platform to competency assessment and validation

    -, 2020

    Résumé

    During last years, several competency management systems (CMSs) have been proposed to support the acquisition, allocation, and improvement of competencies. However, competency information and associated proofs are still not tracked and shared in a trustworthy and immutable way. In this context, blockchain technology provides a prominent manner to keep track of competencies and achievements and to ensure their sharing in a secure and transparent manner. Particularly, given the decentralized nature of immutable and distributed ledgers enabled by blockchain, the potential for using this revolutionary new technology for lifelong competency tracking and assessment is tremendous. In this paper, a functional architecture using smart contracts and blockchain is proposed to support competency tracking and assessment in learning networks. Thus, by implementing the proposed architecture, all the different stakeholders involved can be connected, namely, learners, authors, and assessors. Besides, a full traceability of acquired proofs of competencies and competency profiles is warranted, while ensuring their authenticity and integrity.

  • Kalthoum Rezgui, Hédia Sellemi

    A Semantic Web Architecture for Competency-Based Lifelong Learning Support Systems

    -, 2018

    Résumé

    In this paper, we present a semantic Web architecture of a competency-based lifelong learning support system which falls within the scope of lifelong learning and attempts to deal with the issue of competency tracking, management, and development in learning networks. In particular, the proposed system aims to track learners’ competencies in learning networks and to provide them with different competency assessment procedures, such as learner positioning, competency gap analysis, and competency profile matching. In addition, it integrates a personalized learning path generator module that enables learners fill the gap between available and expected competencies. This system is currently under construction and will include semantic Web services capabilities for supporting automatic matchmaking tasks.

    Kalthoum Rezgui, Hédia Sellemi

    Modeling competencies in competency-based learning: Classification and cartography

    -, 2018

    Résumé

    Despite the importance of competency modeling for both individuals and organizations, there is a lack of a comprehensive literature review and a cartography for it. This paper aims to provide an in-depth overview of different approaches to competency modeling reported in the field of technology-enhanced com petency-based learning. This literature review is complemented by an additional overview of related initiatives toward modeling intended learning outcomes, learning opportunities, achieved learning outcome profiles of learners and competency maps. In addition, a cartography illustrating the relationships between some important models is proposed. The main purpose of this work is to provide researchers with a comprehensive review of the current status in this field as well as to highlight ongoing issues and challenges that need to be addressed.

  • Kalthoum Rezgui, Hédia Sellemi, Khaled Ghédira

    An Ontology-Based Multi-level Semantic Representation Model for Learning Objects Annotation

    -, 2017

    Résumé

    In technology-enhanced learning, semantic annotations have been employed to attach semantic metadata to learning materials in order to significantly enhance their accessibility by human users and machines as well. In this paper, we present an ontology-based multi-level semantic representation model that aims to enrich the description of learning objects with semantics regarding their subjects, competencies and instructional roles. More specifically, the proposed model uses three ontologies: a subject domain ontology describing the domain concepts and the relations that are covered by the subject matter being taught, a competency ontology describing the competency-related characteristics of learners and learning resources, and an instructional role ontology specifying the instructional role(s) a learning object can play in an instructional setting. To demonstrate the feasibility of our model, an illustrative example is given that explains how learning object semantics can be represented with different granularities.

  • Kalthoum Rezgui, Hédia Sellemi, Khaled Ghédira

    An Ontology-based Profile for Learner Representation in Learning Networks

    -, 2014

    Résumé

    In the context of lifelong learning, learning networks are emerged as alternative and feasible integrated models that merge pedagogical, organizational, and technological perspectives to support and promote the provision of lifelong learning opportunities. Among the significant issues that arise when setting up a learning network is the question of how to support communication between repositories that employ different schemes for describing learner profiles. To guarantee correct interpretation, a semantic common metadata schema is required. This paper aims to propose an ontological structure for representing a learner profile that augments it with semantics and provides a common vocabulary for the exchange of the different learner's characteristics that can be presented in a learner model. The proposed structure is based on different learner information with respect to well-known learner model specifications. Besides, it reuses terms from well-developed Semantic Web vocabularies which make it semantic web compliant and integrates different domain taxonomies and subject taxonomies that are used as ranges for particular concepts' slots.

    Kalthoum Rezgui, Hédia Sellemi, Khaled Ghédira

    An Ontology-Based Approach to Competency Modeling and Management in Learning Networks

    -, 2014

    Résumé

    With the emergence of the paradigm of Lifelong Learning and the proliferation of the terms "knowledge society", "citizen mobility", or "globalization", competency-based learning and training has known a growing interest in technology-enhanced learning as it provides important benefits for both individuals and organizations by supporting the transformation of learning outcomes into permanent and valuable knowledge assets. In this context, to promote the acquisition and continuous development of new competencies, learning networks have emerged that enables to support the provision of various lifelong learning opportunities. However, lifelong competency development still faces numerous challenges and research issues that need to be addressed, primarily the lack of consensus about a common representation of competencies and competency profiles. This paper analyzes different approaches reported in literature for competency modeling and proposes a competency ontology to formally describe competency-related characteristics of actors and learning resources in learning networks. The proposed ontology also aims to model aspects related to competency information management and tracking in order to support lifelong competency development in learning networks.

  • Kalthoum Rezgui, Khaled Ghédira

    Theoretical formulas of semantic measure: a survey

    -, 2013

    Résumé

    In recent years, several semantic similarity and relatedness measures have been developed and applied in many domains including linguistics, biomedical informatics, GeoInformatics, and Semantic Web. This paper discusses different semantic measures which compute similarity and relatedness scores between concepts based on a knowledge representation model offered by ontologies and semantic networks. The benchmarks and approaches used for the evaluation of semantic similarity methods are also described. The aim of this paper is to give a comprehensive view of these measures which helps researchers to choose the best semantic similarity or relatedness metric for their needs.