An Ontology Network for Educational Recommender Systems

Díaz, Alicia; Motz, Regina; Rohrer, Edelweis; Tansini, Libertad

doi:10.4018/978-1-61350-489-5.ch004

Cited by 15 publications

(5 citation statements)

References 21 publications

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“…In (Bayoudhi et al, 2020), the authors have surveyed (among others) approaches for ontology versioning while focusing on three research topics: (i) ontology versions pertinence, like in (Sassi et al, 2016), (ii) ontology versions relationship, like in (Allocca et al, 2009b) and (Díaz et al, 2011), and (iii) ontology versions storage and querying, like in (Grandi, 2013), (Grandi, 2016), (Meimaris, 2018), (Bayoudhi et al, 2019), and (Taelman et al, 2019).…”

Section: Related Work Discussionmentioning

confidence: 99%

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Brahmia

Grandi

Zekri

et al. 2021

J. Info. Know. Mgmt.

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Like other components of Semantic Web-based applications, ontologies are evolving over time to reflect changes in the real world. Several of these applications require keeping a full-fledged history of ontology changes so that both ontology instance versions and their corresponding ontology schema versions are maintained. Updates to an ontology instance could be non-conservative that is leading to a new ontology instance version no longer conforming to the current ontology schema version. If, for some reasons, a non-conservative update has to be executed, in spite of its consequence, it requires the production of a new ontology schema version to which the new ontology instance version is conformant so that the new ontology version produced by the update is globally consistent. In this paper, we first propose an approach that supports ontology schema changes which are triggered by non-conservative updates to ontology instances and, thus, gives rise to an ontology schema versioning driven by instance updates. Note that in an engineering perspective, such an approach can be used as an incremental ontology construction method driven by the modification of instance data, whose exact structure may not be completely known at the initial design time. After that, we apply our proposal to the already established [Formula: see text]OWL (Temporal OWL 2) framework, which allows defining and evolving temporal OWL 2 ontologies in an environment that supports temporal versioning of both ontology instances and ontology schemas, by extending it to also support the management of non-conservative updates to ontology instance versions. Last, we show the feasibility of our approach by dealing with its implementation within a new release of the [Formula: see text] OWL-Manager tool.

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Section: Related Work Discussionmentioning

confidence: 99%

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Brahmia

Grandi

Zekri

et al. 2021

J. Info. Know. Mgmt.

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“…An ontology network differs from a set of interconnected individual ontologies in the relations among ontologies since in a ontology network the meta-relationships among the networked ontologies are explicitly expressed [9]. There are some models that cover both the syntactic and semantic aspects of dealing with ontology relationships in networked ontologies.…”

Section: B Ontology Networkmentioning

confidence: 99%

“…The use of networked ontologies in the context of e-Learning has been addressed by other authors. In [9] the authors address the problem of specifying the semantics relationships between networked ontologies by defining an specification of these semantic relationships for the conceptualization of a Educational Recommender Systems. In contrast to this work, the contribution of this paper is the conceptualization of the assessment in e-Learning.…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing the e-Learning Assessment Domain using an Ontology Network

Romero¹,

Gutierrez²,

Caliusco³

2012

IJIMAI

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During the last year, approaches that use ontologies, the backbone of the Semantic Web technologies, for different purposes in the assessment domain of e-Learning have emerged. One of these purposes is the use of ontologies as a mean of providing a structure to guide the automated design of assessments. The most of the approaches that deal with this problem have proposed individual ontologies that model only a part of the assessment domain. The main contribution of this paper is an ontology network, called AONet, that conceptualizes the e-assessment domain with the aim of supporting the semi-automatic generation of it. The main advantage of this network is that it is enriched with rules for considering not only technical aspects of an assessment but also pedagogic.

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“…This collaborative work provides technical support as well as the emotional support for all participating teachers. Recommender Systems (RSs) is defined as information filtering systems that offers personalized recommendations according to a user's context [3]. In our context, the recommendations can be in the form of pedagogical resources as well as peer teachers.…”

Section: Introductionmentioning

confidence: 99%

Contextual and Sentimental Teachers’ Peer Recommendations

Nashed

Lahoud

Abel

2022

2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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The current recommender systems' approaches favor item's recommendation over peer's recommendation. Such virtual information systems do not allow face-to-face communication for collaborative knowledge exchange between peers. However, the on-going worldwide situation affects the sentimental state and especially for a teacher who struggle to adapt his course's contents according to current variables. These challenges can be mitigated through personalized peer recommendations for teachers. A more-experienced teacher can provide the required support for a less-experienced one in the form of knowledge sharing. This paper proposes a matching approach to provide peer recommendations for teachers in consonance with their context and sentimental state. The peer recommendation aids the teacher to collaborate with other teachers in the form of experience sharing and knowledge sharing. Furthermore, the paper highlights the similarity measurement criteria for contextual and sentimental matching algorithm in addition to predefined rules. At the end, the paper discusses the effectiveness of the algorithm application with a real-life scenario.

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An Ontology Network for Educational Recommender Systems

Cited by 15 publications

References 21 publications

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Conceptualizing the e-Learning Assessment Domain using an Ontology Network

Contextual and Sentimental Teachers’ Peer Recommendations

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