An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Clustering Ontology-Based Metadata in the Semantic Web
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
A dissimilarity measure for ALC concept descriptions
Proceedings of the 2006 ACM symposium on Applied computing
Ontology Matching
Sindice.com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A semantic similarity metric combining features and intrinsic information content
Data & Knowledge Engineering
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Instance based clustering of semantic web resources
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Asymmetric and context-dependent semantic similarity among ontology instances
Journal on data semantics X
Hybrid model for semantic similarity measurement
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Assessing linkset quality for complementing third-party datasets
Proceedings of the Joint EDBT/ICDT 2013 Workshops
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The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the reengineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.