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|Full Title:||Semantic Deep Learning|
|Short Title:||SemDeep 17|
|Start Date:||28-May-2017 - 29-May-2017|
|Meeting Email:||click here to access email|
|Meeting Description:||Semantic Deep Learning aims to bring together Semantic Web and deep learning methods, technologies, and resources. Semantic Web and deep learning research share the goal of creating intelligent artefacts that emulate human capacities, such as reasoning, validating, and predicting. Both fields have been considerably impacting data and knowledge analysis as well as representation.
Deep learning has been successfully applied to (semi-automated) ontology learning, ontology alignment, ontology annotation, duplicate recognition, and ontology prediction. Ontologies have been repeatedly utilized as input to machine learning tasks and as background knowledge to guide such tasks. Hybrid approaches, such as knowledge graph embeddings, hold the potential of improving the effectiveness of knowledge-related tasks. This workshop offers a platform for discussing such hybrid approaches and for fostering future collaborations between those two fields.
|Linguistic Subfield:||Computational Linguistics|
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