Automatic weight generation and class predicate stability in RDF summary graphs
4th International Workshop on Intelligent Exploration of Semantic Data, IESD 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015, Pennsylvania, Amerika Birleşik Devletleri, 12 Ekim 2015, cilt.1472, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 1472
- Basıldığı Şehir: Pennsylvania
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Yıldız Teknik Üniversitesi Adresli: Hayır
Özet
In this current study, we use graph localities and neighbor-hood similarity to enhance the summary graph generation approach for building a summary graph structure for intelligent exploration of semantic data. The key improvements to what we have previously proposed include the addition of a string similarity measure for the literal neighbors, development of a stability measure to evaluate the accuracy of class relations, the addition of auto-generated property weights, and the detection of noise properties.