Knowledge engineering rediscovered: towards reasoning patterns for the semantic web
Proceedings of the fifth international conference on Knowledge capture
Creating knowledge out of interlinked data: making the web a data washing machine
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
A survey of schema-based matching approaches
Journal on Data Semantics IV
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In real world cases, building reliable problem centric views over Linked Data [1] is a challenging task. An ideal method should include a formal representation of the requirements of the needed dataset and a controlled process moving from the original sources to the outcome. We believe that a goal oriented approach, similar to the AI planning problem, could be successful in controlling the process of linked data fusion, as well as to formalize the relations between requirements, process and result.