Query Results Clustering by Extending SPARQL with CLUSTER BY.
Agnieszka LawrynowiczPublished in: OTM Workshops (2009)
Keyphrases
- clustering algorithm
- data objects
- data clustering
- cluster analysis
- hierarchical clustering
- clustering framework
- rdf data
- k means
- unsupervised clustering
- clustering method
- sparql queries
- query evaluation
- inter cluster
- data points
- clustering approaches
- query processing
- cluster membership
- overlapping clusters
- constrained clustering
- query engine
- database queries
- clustering quality
- cluster centers
- intra cluster
- similarity graph
- data sources
- disjoint clusters
- returned by a search engine
- database
- clustering procedure
- document corpus
- search result clustering
- query expansion
- response time
- agglomerative hierarchical clustering
- data model
- subspace clustering
- query rewriting
- clustering scheme
- range queries
- hierarchical clustering algorithm
- arbitrary shape
- cluster validation
- unsupervised learning
- hierarchical agglomerative clustering
- user queries
- clustering result
- homogeneous groups
- query language
- density based clustering algorithm
- validity measures
- keywords
- search engine
- high dimensional data
- graph model
- similarity matrix
- semantic web
- relevance feedback
- cluster structure
- spectral clustering
- linked data
- query formulation
- storage and retrieval