On scalable RDFS reasoning using a hybrid approach

Tuğba KÜLAHCIOĞLU; Hasan BULUT

Makale detayları

On scalable RDFS reasoning using a hybrid approach

Yazarlar:

Tuğba KÜLAHCIOĞLU | Hasan BULUT

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1208-1222

Belge Tipi:

Makale

Yayın Tarihi:

5/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000742059

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Reasoning is a vital ability for semantic web   applications since they aim to understand and interpret the data on the   World Wide Web. However, reasoning of large data sets is one of the   challenges facing semantic web applications. In this paper, we present new   approaches for scalable Resource Description Framework Schema (RDFS)   reasoning. Our RDFS specific term-based partitioning algorithm determines   required schema elements for each data partition while eliminating the data   partitions that will not produce any inferences. With the two-level   partitioning approach, we are able to carry out reasoning with limited   resources. In our hybrid approach, we integrate two previously mentioned   methods to benefit from the advantages of both. In the experimental tests we   achieve linear speedups for reasoning times with the proposed hybrid   approach. These algorithms and methods presented in the paper enable   RDFS-level reasoning of large data sets with limited resources, and they   together build up a scalable distributed reasoning approach.

Makale detayları

On scalable RDFS reasoning using a hybrid approach

Yazarlar: Tuğba KÜLAHCIOĞLU | Hasan BULUT

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1208-1222

Belge Tipi: Makale

Yayın Tarihi: 5/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000742059

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Tuğba KÜLAHCIOĞLU | Hasan BULUT

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1208-1222

Belge Tipi:

Makale

Yayın Tarihi:

5/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000742059

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632