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- 246 creator alun-preece.
- 246 creator gunnar-aastrand-grimnes.
- 246 creator peter-edwards.
- 246 type InProceedings.
- 246 label "Distance Based clustering of Semantic Web Resources".
- 246 sameAs 246.
- 246 abstract "The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue that an essential feature for such agents is the capability to analyse data and learn. In this paper we outline the challenges and issues surrounding the application of clustering algorithms to Semantic Web data. We present several ways to extract instances from a large RDF graph and computing the distance between these. We evaluate our approaches on three different data-sets, one representing a typical relational database to RDF conversion, one based on data from a ontologically rich Semantic Web enabled application, and one consisting of a crawl of FOAF documents; applying both supervised and unsupervised evaluation metrics. Our evaluation did not support choosing a single combination of instance extraction method and similarity metric as superior in all cases, and as expected the behaviour depends greatly on the data being clustered. Instead, we attempt to identify characteristics of data that make particular methods more suitable.".
- 246 hasAuthorList authorList.
- 246 hasTopic Machine_learning.
- 246 hasTopic Personalization.
- 246 hasTopic Semantic_Web.
- 246 isPartOf proceedings.
- 246 keyword "clustering".
- 246 keyword "distance measure".
- 246 keyword "rdf".
- 246 title "Distance Based clustering of Semantic Web Resources".