Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Explanation-Driven Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Defining Knowledge Layers for Textual Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
Case-based recommender systems
The Knowledge Engineering Review
The Knowledge Engineering Review
Rapid Prototyping of CBR Applications with the Open Source Tool myCBR
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Believing Finite-State Cascades in Knowledge-Based Information Extraction
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
iDocument: using ontologies for extracting and annotating information from unstructured text
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Extending jCOLIBRI for textual CBR
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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myCBR is a freely available tool for rapid prototyping of similarity-based retrieval applications such as case-based product recommender systems. It provides easy-to-use model generation, data import, similarity modelling, explanation, and testing functionality together with comfortable graphical user interfaces. SCOOBIE is an ontology-based information extraction system, which uses symbolic background knowledge for extracting information from text. Extraction results depend on existing knowledge fragments. In this paper we show how to use SCOOBIE for generating cases from texts. More concrete we use ontologies of the Web of Data, published as so called Linked Data interlinked with myCBR's case model. We present a way of formalising a case model as Linked Data ready ontology and connect it with other ontologies of the Web of Data in order to get richer cases.