A method for ontology-based semantic relatedness measurement

Görkem GİRAY; Murat Osman ÜNALIR

Makale detayları

A method for ontology-based semantic relatedness measurement

Yazarlar:

Görkem GİRAY | Murat Osman ÜNALIR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.420-438

Belge Tipi:

Makale

Yayın Tarihi:

1/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743343

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

There are many methods having different approaches for  assessing similarity and relatedness and they are used in many  application areas, including web service discovery, invocation and  composition, word sense disambiguation, information retrieval,  ontology alignment and merging, document clustering, and short answer  grading.  These methods can be categorized as path-based, information  content-based, feature-based, geometric model-based, and hybrid  approaches.  These approaches use resources such as concept hierarchy,  conceptual graph, and corpus for computing similarity and relatedness.  With the rise of the semantic web, ontologies have attracted the  attention of several researchers.  Ontologies represented in the Web  Ontology Language (OWL) are also valuable resources for similarity and  relatedness measurement.  The method proposed in this paper interprets  some OWL constructs to assess semantic relatedness.  The motivation  behind this is to benefit from the rich expressive power of OWL to  obtain better semantic relatedness measurement results.  The success  of the method has been validated against human judgments.  The  correlation between human judgments and automatically computed  semantic relatedness values was calculated as 0.685 and was  significant at the 0.01 level.

 

There are many methods having different approaches for  assessing similarity and relatedness and they are used in many  application areas, including web service discovery, invocation and  composition, word sense disambiguation, information retrieval,  ontology alignment and merging, document clustering, and short answer  grading.  These methods can be categorized as path-based, information  content-based, feature-based, geometric model-based, and hybrid  approaches.  These approaches use resources such as concept hierarchy,  conceptual graph, and corpus for computing similarity and relatedness.  With the rise of the semantic web, ontologies have attracted the  attention of several researchers.  Ontologies represented in the Web  Ontology Language (OWL) are also valuable resources for similarity and  relatedness measurement.  The method proposed in this paper interprets  some OWL constructs to assess semantic relatedness.  The motivation  behind this is to benefit from the rich expressive power of OWL to  obtain better semantic relatedness measurement results.  The success  of the method has been validated against human judgments.  The  correlation between human judgments and automatically computed  semantic relatedness values was calculated as 0.685 and was  significant at the 0.01 level.

Makale detayları

A method for ontology-based semantic relatedness measurement

Yazarlar: Görkem GİRAY | Murat Osman ÜNALIR

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.420-438

Belge Tipi: Makale

Yayın Tarihi: 1/2013

Belge Dili: Türkçe

Document ID (Org No.): 2000743343

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Görkem GİRAY | Murat Osman ÜNALIR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 2, pp.420-438

Belge Tipi:

Makale

Yayın Tarihi:

1/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743343

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632