Titlebook: Knowledge Graphs and Language Technology; ISWC 2016 Internatio Marieke van Erp,Sebastian Hellmann,Hideaki Takeda Conference proceedings 201

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Information Extraction from the Web by Matching Visual Presentation Patterns,e published information is however usually not annotated explicitly or implicitly and its interpretation is left on a human reader. This makes the information extraction from web documents a challenging problem. Most existing approaches are based on a top-down approach that proceeds from the larger

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Statistical Induction of Coupled Domain/Range Restrictions from RDF Knowledge Bases,ependent domain and range restrictions to derive coupled domain/range restrictions, which may be beneficial in the context of Natural Language Processing tasks such as Semantic Parsing and Entity Classification. We provide results from an experiment on the DBpedia graph. An evaluation shows that hig

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Wikipedia and DBpedia for Media - Managing Audiovisual Resources in Their Semantic Context,roadcasters in Norway and in Belgium (Flemish). The EBU, NRK and VRT are known in the media community for striving innovation. They have developed recognised expertise in engineering solutions and standards around the management of information for the audiovisual industry in a multi-lingual environm

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Identifying Global Representative Classes of DBpedia Ontology Through Multilingual Analysis: A Rankata. We present a novel method of identifying global representative classes of DBpedia ontology based on the collective popularity, calculated by the aggregation of ranking orders from Wikipedia’s local language editions. We publish the contents of this paper on ..

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Identifying Poorly-Defined Concepts in WordNet with Graph Metrics, However, there are still significant quality issues with the resource and these affect the performance of all NLP systems built on this resource. One major issue is that many nodes are insufficiently defined and new links need to be added to increase performance in NLP. We combine the use of graph-

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