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

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發(fā)表于 2025-3-21 16:44:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Knowledge Graphs and Language Technology
副標(biāo)題ISWC 2016 Internatio
編輯Marieke van Erp,Sebastian Hellmann,Hideaki Takeda
視頻videohttp://file.papertrans.cn/544/543939/543939.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Knowledge Graphs and Language Technology; ISWC 2016 Internatio Marieke van Erp,Sebastian Hellmann,Hideaki Takeda Conference proceedings 201
描述This book constitutes the combined refereed proceedings of ISWC Satellite Wor shops KEKI.and NLP&DBpedia 2016 which were held in conjunction with ISWC 2016 in Kobe, Japan, in.October 2016. The 9 papers presented were carefully selected and reviewed from 20.submissions. They focus on the use of linguistic linked open data, the linguistic aspects.of DBpedia, the improvement of of DBpedia through NLP applications, on increasing the.NLP applications through integrating knowledge from DPpedia.
出版日期Conference proceedings 2017
關(guān)鍵詞artificial intelligence; entity resolution; information retrieval; instance marching; knowledge based sy
版次1
doihttps://doi.org/10.1007/978-3-319-68723-0
isbn_softcover978-3-319-68722-3
isbn_ebook978-3-319-68723-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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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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