Panel: Knowledge Graph Industry Applications

Shinavier, Joshua; Branson, Kristin; Zhang, Wei; Dastgheib, Shima; Gao, Yuqing; Arsintescu, B.G.; Özcan, Fatma; Meij, Edgar

doi:10.1145/3308560.3317711

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…KB technology has been highly impactful in Internet-centric industry, like search engines, online shopping and social networks [429]. As of 2020, it remains a hot topic in industry as the bars for quality and coverage are raised and use cases are being expanded (see, e.g., [528,245]). The technology has largely been driven by applications in mainstream Internet business, but there are many use cases also for other domains such as health, materials, industrial plants, financial services, and fashion (e.g., [501,556,251,466,277]).…”

Section: Discussionmentioning

confidence: 99%

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Weikum¹,

Dong²,

Razniewski³

et al. 2020

Preprint

View full text Add to dashboard Cite

Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bases, also known as knowledge graphs, have been automatically constructed from web contents and text sources, and have become a key asset for search engines. This machine knowledge can be harnessed to semantically interpret textual phrases in news, social media and web tables, and contributes to question answering, natural language processing and data analytics.This article surveys fundamental concepts and practical methods for creating and curating large knowledge bases. It covers models and methods for discovering and canonicalizing entities and their semantic types and organizing them into clean taxonomies. On top of this, the article discusses the automatic extraction of entity-centric properties. To support the long-term life-cycle and the quality assurance of machine knowledge, the article presents methods for constructing open schemas and for knowledge curation. Case studies on academic projects and industrial knowledge graphs complement the survey of concepts and methods.

show abstract

Section: Discussionmentioning

confidence: 99%

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Weikum¹,

Dong²,

Razniewski³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

CrunchQA: A Synthetic Dataset for Question Answering over Crunchbase Knowledge Graph

Madjid

Difallah

2022

2022 IEEE International Conference on Big Data (Big Data)

View full text Add to dashboard Cite

Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020

et al. 2020

View full text Add to dashboard Cite

We report on the First Workshop on Bias in Automatic Knowledge Graph Construction (KG-BIAS), which was co-located with the Automated Knowledge Base Construction (AKBC) 2020 conference. Identifying and possibly remediating any sort of bias in knowledge graphs, or in the methods used to construct or query them, has clear implications for downstream systems accessing and using the information in such graphs. However, this topic remains relatively unstudied, so our main aim for organizing this workshop was to bring together a group of people from a variety of backgrounds with an interest in the topic, in order to arrive at a shared definition and roadmap for the future. Through a program that included two keynotes, an invited paper, three peer-reviewed full papers, and a plenary discussion, we have made initial inroads towards a common understanding and shared research agenda for this timely and important topic.

show abstract

Panel: Knowledge Graph Industry Applications

Cited by 3 publications

References 0 publications

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

CrunchQA: A Synthetic Dataset for Question Answering over Crunchbase Knowledge Graph

Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020

Contact Info

Product

Resources

About