Instance-Based Ontology Matching For Open and Distance Learning Materials
نویسندگان
چکیده
منابع مشابه
Instance-Based Ontology Matching For Open and Distance Learning Materials
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 classifi...
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This paper proposes an instance-based learning approach for the ontology matching problem. This approach is applicable to scenarios where instances of the ontologies to be matched are exchanged between sources. An initial population of instances is used as a training set of a non-supervised algorithm that constructs mappings between properties of classes from the ontologies. To demonstrate the ...
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__One of the important barrier that hinders achieving semantic interoperability is ontology matching. Instance-based ontology matching (IBOM) or concept based ontology matching(CBOM) uses the extension of concepts, the instances directly associated with a concept, to determine whether a pair of concepts is related or not. Practically, instances are often associated with concepts of a single ont...
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Ontology matching approaches have mostly worked on the schema level so far. With the advent of Linked Open Data and the availability of a massive amount of instance information, instance-based approaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means...
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In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the capability of comparing several instances extracted from different sources is crucial. In this paper, we focus on the problem of instance matching and its role for ontology population. Moreover, we present the instan...
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ژورنال
عنوان ژورنال: The International Review of Research in Open and Distributed Learning
سال: 2017
ISSN: 1492-3831
DOI: 10.19173/irrodl.v18i1.2681