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Information Extraction and Ontology Learning

Information Extraction and Ontology Learning

This line of work looks at the task of extracting various information from textual input. By identifying entities and the relations between them, it is possible to derive a structured ontology representation from these unstructured documents.

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Semantic Web Machine Learning Systems 1

Semantic Web Machine Learning Systems

We investigate hybrid AI systems that incorporate both Semantic Web Technologies (SWe) and Machine Learning (ML). These “SWeML” systems are benefiting from both technologies by overcoming respective shortcomings in order to fulfill complex tasks.

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NLP Service Orchestration

NLP Service Orchestration

We present our research on the development, deployment, and usage of collections of interdependent natural language processing services. We aim at the best quality of processing and robustness of the deployed services.

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