Knowledge graphs

A Hogan, E Blomqvist, M Cochez, C d'Amato… - ACM Computing …, 2021 - dl.acm.org
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Machine knowledge: Creation and curation of comprehensive knowledge bases

G Weikum, XL Dong, S Razniewski… - … and Trends® in …, 2021 - nowpublishers.com
Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

M Nilashi, O Ibrahim, K Bagherifard - Expert Systems with Applications, 2018 - Elsevier
Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …

Named entity extraction for knowledge graphs: A literature overview

T Al-Moslmi, MG Ocaña, AL Opdahl, C Veres - IEEE Access, 2020 - ieeexplore.ieee.org
An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

Data quality in internet of things: A state-of-the-art survey

A Karkouch, H Mousannif, H Al Moatassime… - Journal of Network and …, 2016 - Elsevier
Abstract In the Internet of Things (IoT), data gathered from a global-scale deployment of
smart-things, are the base for making intelligent decisions and providing services. If data are …

A dynamic knowledge graph approach to distributed self-driving laboratories

J Bai, S Mosbach, CJ Taylor, D Karan, KF Lee… - Nature …, 2024 - nature.com
The ability to integrate resources and share knowledge across organisations empowers
scientists to expedite the scientific discovery process. This is especially crucial in addressing …

YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia

J Hoffart, FM Suchanek, K Berberich, G Weikum - Artificial intelligence, 2013 - Elsevier
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and
events are anchored in both time and space. YAGO2 is built automatically from Wikipedia …

Yago: a core of semantic knowledge

FM Suchanek, G Kasneci, G Weikum - Proceedings of the 16th …, 2007 - dl.acm.org
We present YAGO, a light-weight and extensible ontology with high coverage and quality.
YAGO builds on entities and relations and currently contains more than 1 million entities and …

[图书][B] Ontology matching

J Euzenat, P Shvaiko - 2007 - Springer
An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

[图书][B] Programming multi-agent systems in AgentSpeak using Jason

RH Bordini, JF Hübner, M Wooldridge - 2007 - books.google.com
Jason is an Open Source interpreter for an extended version of AgentSpeak–a logic-based
agent-oriented programming language–written in JavaTM. It enables users to build complex …