کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408182 | 679000 | 2012 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Semantic optimization of query transformation in a large-scale peer-to-peer network
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Semantic optimization of query transformation in a large-scale peer-to-peer network Semantic optimization of query transformation in a large-scale peer-to-peer network](/preview/png/408182.png)
چکیده انگلیسی
Ontologies have an important role in supporting efficient interoperability among information systems in distributed environment. In this paper, I propose a query transformation method to efficiently collect as many relevant resources from the distributed information systems (e.g., peer-to-peer network) as possible. More importantly, I consider a composite query which contains multiple semantics. The composite query from the source peer can be decomposed and propagated as maintaining the original contexts. Through the experiments, I have shown that query-activated concept (QAC)-based schemes have fulfilled an efficient query decomposition process on semantic peer-to-peer networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 88, 1 July 2012, Pages 36–41
Journal: Neurocomputing - Volume 88, 1 July 2012, Pages 36–41
نویسندگان
Jason J. Jung,