Indirect Alignment between Multilingual Ontologies: A Case Study of Korean and Swedish Ontologies

Jung, Jason J.; Håkansson, Anne; Hartung, Ronald L.

doi:10.1007/978-3-642-01665-3_24

Cited by 25 publications

(21 citation statements)

References 18 publications

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“…[3,6,10]). In the following, we will define these notions, based on the general definition of ontology matching as "the process of finding relationships or correspondences between entities of different ontologies" (cf.…”

Section: Monolingual Multilingual and Cross-lingual Ontology Matchingmentioning

confidence: 99%

“…One of these is the question how the similarity scores across different annotations should be aggregated within a single language (intralingual aggregation) as well as between languages (interlingual aggregation; cf. "composition" in [6]). For example, should the fact that one label of a concept C S in a language l is very similar to one label of a concept C T in language l suffice to say that C S and C T are good matching candidates?…”

Section: Open Research Questions In Ontology Matchingmentioning

confidence: 99%

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A Machine Learning Approach to Multilingual and Cross-Lingual Ontology Matching

Spohr

Hollink²,

Cimiano

2011

Lecture Notes in Computer Science

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Abstract. Ontology matching is a task that has attracted considerable attention in recent years. With very few exceptions, however, research in ontology matching has focused primarily on the development of monolingual matching algorithms. As more and more resources become available in more than one language, novel algorithms are required which are capable of matching ontologies which share more than one language, or ontologies which are multilingual but do not share any languages. In this paper, we discuss several approaches to learning a matching function between two ontologies using a small set of manually aligned concepts, and evaluate them on different pairs of financial accounting standards, showing that multilingual information can indeed improve the matching quality, even in cross-lingual scenarios. In addition to this, as current research on ontology matching does not make a satisfactory distinction between multilingual and cross-lingual ontology matching, we provide precise definitions of these terms in relation to monolingual ontology matching, and quantify their effects on different matching algorithms.

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Section: Monolingual Multilingual and Cross-lingual Ontology Matchingmentioning

confidence: 99%

Section: Open Research Questions In Ontology Matchingmentioning

confidence: 99%

A Machine Learning Approach to Multilingual and Cross-Lingual Ontology Matching

Spohr

Hollink²,

Cimiano

2011

Lecture Notes in Computer Science

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“…A theoritical idea was also presented for building indirect alignments between multilingual ontologies [12]. The basic principle of this method is the reuse of already existing and stored alignment files.…”

mentioning

confidence: 99%

“…The DAMO method [12] implements a direct alignment strategy based on two phases and the use of two external resources. The alignment process contains two complementary components.…”

mentioning

confidence: 99%

“…AUTOMSV2 translation method is converting the labels of classes and properties that are found to be in a non-English language and creates a copy of an Englishlabeled ontology file for each non-English ontology. The core idea of the WESEE approach [12] is to use a web search engine for retrieving web documents that are relevant for concepts in the ontologies to match. Concepts, labels, comments, and URI fragments are used as search terms.…”

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confidence: 99%

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Using Linguistic Resource for Cross-Lingual Ontology Alignment

Kachroudi¹,

Zghal²,

Yahia³

2013

Int. J. Recent Contrib. Eng. Sci. IT

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Abstract-In the Semantic Web register, ontology alignment process can be seen as a cornerstone solution for the data heterogeneousness by allowing their interoperability. However, the most of the existing alignment methods assume that all ontologies to be aligned are described by identical languages. Indeed, very few approaches paid attention to the thriving challenge of multilingual ontology alignment. This paper introduces a new alignment method for multilingual ontologies. The proposed method implements a strategy of a direct alignment based on an external resource. Results obtained after extensive carried experiments are very encouraging and highlight many useful insights about the new proposed method.

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