Machine knowledge: Creation and curation of comprehensive knowledge bases
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 …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Knowledge graph quality management: a comprehensive survey
B Xue, L Zou - IEEE Transactions on Knowledge and Data …, 2022 - ieeexplore.ieee.org
As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …
has drawn great attention from both the academia and the industry and a large number of …
[图书][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
[PDF][PDF] Classification of Alzheimer's Disease using Machine Learning Techniques.
Alzheimer's disease (AD) is a commonly known and widespread neurodegenerative
disease which causes cognitive impairment. Although in medicine and healthcare areas, it is …
disease which causes cognitive impairment. Although in medicine and healthcare areas, it is …
Learning description logic ontologies: Five approaches. Where do they stand?
A Ozaki - KI-Künstliche Intelligenz, 2020 - Springer
The quest for acquiring a formal representation of the knowledge of a domain of interest has
attracted researchers with various backgrounds into a diverse field called ontology learning …
attracted researchers with various backgrounds into a diverse field called ontology learning …
Semantic Web technologies and bias in artificial intelligence: A systematic literature review
Abstract Bias in Artificial Intelligence (AI) is a critical and timely issue due to its sociological,
economic and legal impact, as decisions made by biased algorithms could lead to unfair …
economic and legal impact, as decisions made by biased algorithms could lead to unfair …
Toward a general framework for multimodal big data analysis
Multimodal Analytics in Big Data architectures implies compounded configurations of the
data processing tasks. Each modality in data requires specific analytics that triggers specific …
data processing tasks. Each modality in data requires specific analytics that triggers specific …
Knowledge representation and rule mining in entity-centric knowledge bases
Entity-centric knowledge bases are large collections of facts about entities of public interest,
such as countries, politicians, or movies. They find applications in search engines, chatbots …
such as countries, politicians, or movies. They find applications in search engines, chatbots …
Popularity agnostic evaluation of knowledge graph embeddings
In this paper, we show that the distribution of entities and relations in common knowledge
graphs is highly skewed, with some entities and relations being much more popular than the …
graphs is highly skewed, with some entities and relations being much more popular than the …
Artificial intelligence–the big picture
D Abele, S D'Onofrio - Cognitive Computing: Theorie, Technik und Praxis, 2020 - Springer
This article presents an introduction to key concepts in the field of artificial intelligence and
how they relate to each other. It offers a scheme to assess the maturity levels of current and …
how they relate to each other. It offers a scheme to assess the maturity levels of current and …