Steps to Knowledge Graphs Quality Assessment
Knowledge Graphs (KGs) have been popularized during the last decade, for instance, they are used widely in the context of the web. In 2012 Google has presented the Google's Knowledge Graph that is used to improve their web search services. The web also hosts different KGs, such as DBpedia and Wikidata, which are used in various applications like personal assistants and question-answering systems. Various web applications rely on KGs to provide concise, complete, accurate, and fresh answer to users. However, what is the quality of those KGs? In which cases should a Knowledge Graph (KG) be used? How might they be evaluated? We reviewed the literature on quality assessment of data, information, linked data, and KGs. We extended the current state-of-the-art frameworks by adding various quality dimensions (QDs) and quality metrics (QMs) that are specific to KGs. Furthermore, we propose a general-purpose, customizable to a domain or task, and practical quality assessment framework for assessing the quality of KGs.
Code (0)
등록된 구현이 없습니다.
Tasks
Knowledge GraphsQuestion AnsweringSimilar Papers 제목 키워드 기반
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
Cyber threat intelligence is a critical tool that many organizations and individuals use to protect themselves from sophisticated, organized, persistent, and weaponized cyber attacks. However, few studies have focused on…
Fact CheckingKnowledge GraphsSemantic SimilaritySemantic Textual SimilarityImproving Quality Assessment of Online Reviews UsingFormal Argumentation Theory and Knowledge Graphs
In this extended abstract, we introduce a previously developed framework for the assessment of the quality of product reviews by using formal argumentation theory and machine learning. Then, we outline current developme…
BIG-bench Machine LearningKnowledge GraphsKnowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-s…
Knowledge GraphsA Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
By focusing the pre-training process on domain-specific corpora, some domain-specific pre-trained language models (PLMs) have achieved state-of-the-art results. However, it is under-investigated to design a unified parad…
Knowledge GraphsLanguage ModelingLanguage Modellingtext-classification+1Construction of Knowledge Graphs: State and Challenges
With knowledge graphs (KGs) at the center of numerous applications such as recommender systems and question answering, the need for generalized pipelines to construct and continuously update such KGs is increasing. While…
Knowledge GraphsManagementQuestion AnsweringRecommendation Systems