Knowledge Graphs and Language Technology

Knowledge Graphs and Language Technology
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DOI:
10.1007/978-3-319-68723-0
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发表时间:
2017-11
期刊:
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通讯作者:
M. Erp;Sebastian Hellmann;John P. McCrae;C. Chiarcos;Key-Sun Choi;J. Gracia;Yoshihiko Hayashi;S. Koide;Pablo N. Mendes;Heiko Paulheim;Hideaki Takeda
M. Erp;Sebastian Hellmann;John P. McCrae;C. Chiarcos;Key-Sun Choi;J. Gracia;Yoshihiko Hayashi;S. Koide;Pablo N. Mendes;Heiko Paulheim;Hideaki Takeda
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其他
文献类型:
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作者:
M. Erp;Sebastian Hellmann;John P. McCrae;C. Chiarcos;Key-Sun Choi;J. Gracia;Yoshihiko Hayashi;S. Koide;Pablo N. Mendes;Heiko Paulheim;Hideaki Takeda

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本卷包含了在第一届知识提取和知识集成研讨会(KÉKI 2016)和第四届NLP&DBpedia研讨会上发表的论文的综合论文集。这两个研讨会与2016年10月在日本神户举行的第15届国际语义网会议同时举行。KÉKI研讨会的主要焦点是使用与语言相关的开放数据。随着越来越多的语言链接开放数据源变得可用(例如,通过语言链接开放数据或LLOD云),现在是时候开始思考和构建链接数据感知的自然语言处理(NLP)应用程序了。NLP&DBpedia研讨会的重点是与此相补充的,因为它关注的是DBpedia的语言方面,这是最流行的公开可用的多语言知识库之一。NLP&DBpedia研讨会的两个子目标是通过NLP应用程序改进DBpedia,并通过集成DBpedia的知识来促进NLP应用程序。KÉKI讲习班收到了11份意见书,其中5份被接受在本卷中介绍和出版。NLP&DBpedia研讨会收到了九份意见书,其中四份被接受并发表。所有论文均由至少三名计划委员会成员审阅。总之,您在本卷中找到的九份提交内容涵盖了知识图和语言技术交叉领域的广泛研究。在研讨会提交的论文中,大致可以看到三个维度:(1)领域应用(Niekler和Kahmann; Evain, Vervaegen和Matton),(2)知识图谱的质量评估和改进(Ell, Hakimov和Cimiano; mcrae和Prangnawarat; Kim和Choi;和Yoshioka),以及(3)知识图谱在NLP应用中的使用(Sasaski和Dojchinovski; Burget;和Van Erp和Vossen)。此外,本卷还包含来自Gerard de Melo (Rutgers大学)的贡献,他是NLP&DBpedia研讨会的特邀演讲者,题为“知识图谱:冒险进入野外”。
This volume contains the combined proceedings of the papers presented at the First Workshop on Knowledge Extraction and Knowledge Integration (KÉKI 2016) and the 4th NLP&DBpedia workshop. Both workshops were held in conjunction with the 15th International Semantic Web Conference in Kobe, Japan, in October 2016. The main focus of the KÉKI workshop is the use of linguistic linked open data. As more and more linguistic linked open data sources are becoming available (for example, through the linguistic linked open data or LLOD cloud) it is now time to start thinking and building linked data-aware natural language processing (NLP) applications. The focus of the NLP&DBpedia workshop is complementary to this as it focused on the linguistic aspects of DBpedia, one of the most popular openly available multilingual knowledge bases. The two subgoals of the NLP&DBpedia workshop are to improve DBpedia through NLP applications, and to boost NLP application by integrating knowledge from DBpedia. The KÉKI workshop received 11 submissions of which five were accepted for presentation and publication in this volume. The NLP&DBpedia workshop received nine submissions, of which four were accepted and presented. All papers were reviewed by at least three Program Committee members. Together, the nine submissions you find in this volume cover a broad spectrum of research on the intersection of knowledge graphs and language technology. Roughly three dimensions can be discerned in the workshop submissions:(1) domain applications (Niekler and Kahmann; Evain, Vervaegen, and Matton),(2) quality assessment and improvement of knowledge graphs (Ell, Hakimov, and Cimiano; McCrae and Prangnawarat; Kim and Choi; and Yoshioka) and (3) use of knowledge graphs in NLP applications (Sasaski and Dojchinovski; Burget; and Van Erp and Vossen). Furthermore, this volume also contains a contribution from Gerard de Melo (Rutgers University), the invited speaker from the NLP&DBpedia workshop, titled “Knowledge Graphs: Venturing out into the Wild.”