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Abstract
<p class="3">The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content. The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is modeled in this paper as a binary pattern classification problem. The latter problem is then solved through the application of our new proposed associative model. The solution proposed here allows the alignment of two different ontologies —both in the Learning Objects Metadata (LOM) format— into a single ontology of LOs for ODL in LOM format, without redundant objects and with all inherent advantages for handling ODL LOs. The proposed model of pattern classification was validated through experiments, which were done on data taken from the Ontology Alignment Evaluation Initiative (OAEI) 2014 campaign, as well as on data taken from two known educative content repositories: ADRIADNE and MERLOT. The obtained results show a high performance when compared against some of the classifier algorithms present in the state of the art.</p>
Highlights
In recent years, the rising of the World Wide Web has drastically changed the way people learn
The proposed model of pattern classification was validated through two experiments, which were done on data taken from the Ontology Alignment Evaluation Initiative (OAEI) 2014 campaign (Dragisic et al, 2014), as well as on data taken from two known educative content repositories: ADRIADNE (ADRIADNE, 2016) and MERLOT (MERLOT, 2016)
The accurate ontology matching allows a better use of the learning materials in open and distance learning repositories
Summary
The rising of the World Wide Web has drastically changed the way people learn. Given the importance of SW in environments related to ODL, it is noteworthy that SW is considered to be an evolution of the traditional World Wide Web (Karger, 2014; Thangaraj & Sujatha, 2014). Several proposals from different research groups around the world have been made, to tackle the problem of ontology alignment This issue can be seen as a natural result of the increasing popularity of Semantic Web. OMP intends to solve the problem of heterogeneity in SW, looking for certain relationships between similar elements among different ontologies (Otero-Cedeira, Rodríguez-Martínez, & GómezRodríguez, 2015; Mao, Peng, & Spring, 2011). The OMP solution for ODL environments consists on aligning, by means of an Ontology Alignment Model (OAM), both ontologies A and B into a single ontology C containing LOs for ODL This resulting ontology will be represented in the same LOM format, with no redundant objects, and with all inherent advantages for LO management in ODL.
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