کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
528074 869504 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Faceted fusion of RDF data
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Faceted fusion of RDF data
چکیده انگلیسی

With the rapid growth of resource description framework (RDF) data, it shows a steady trend of data decentralization and fragmentation. This trend results in two consequences. First, data decentralization and fragmentation easily leads to a narrow understanding of specific topic for users, because of difficulty in obtaining fully-faceted RDF data on the topic. Second and more importantly, users need to exert considerable effort to in searching for the RDF data of interest. In this paper, we propose a novel approach called Faceted Fusion of RDF data (FF) to solve these challenges. This method aggregates distributed RDF data on a specific topic according to different facets, based on two topological properties of a topic-specific RDF Graph (TRG). FF first constructs TRGs from RDF datasets and then discovers a set of facets by leveraging these two topological properties. We conduct three experiments over six RDF datasets to evaluate our approach. The experimental results indicate that FF outperforms three other approaches based on data distance, structure distance and structure/attribute respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 23, May 2015, Pages 16–24
نویسندگان
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