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Open Knowledge Extraction (OKE) Challenge at ESWC 2017
May 30 - June 1
The Open Knowledge Extraction Challenge invites researchers and practitioners from academia as well as industry to compete with the aim of pushing further the state of the art of knowledge extraction for the Semantic Web. The Open Knowledge Extraction Challenge is accepted at ESWC 2017.
Most of the Web content consists of natural language text, e.g., websites, news, blogs, micro-posts, etc., hence a main challenge is to extract as much relevant knowledge as possible from this content, and publish it in the form of Semantic Web triples. There is huge work on knowledge extraction (KE) and knowledge discovery contributing to address this problem. In fact, results of knowledge extraction systems are usually evaluated against tasks that do not focus on specific Semantic Web goals. For example, tasks such as named entity recognition, named entity disambiguation and relation extraction are certainly of importance for the SW, but in most cases such tasks are designed without considering the output design and formalization in the form of Linked Data and OWL ontologies. This makes the results of existing methods often not directly reusable for populating the SW, until a translation from linguistic semantics to formal semantics is performed.
The goal of the Open Knowledge Extraction Challenge is to test the performance of Knowledge Extraction Systems with respect to the Semantic Web. The OKE challenge has the ambition to provide a reference framework for research on “Knowledge Extraction from text for the Semantic Web” by redefining a number of tasks (typically from information and knowledge extraction) by taking into account specific Semantic Web requirements.
The ESWC 2017 takes place from May 28th, 2016 to June 1st, 2017 in Portoroz, Slovenia. For more details see here.
For more details on Open Knowledge Extraction Challenge , see here.