[图书][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
[HTML][HTML] Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews
Abstract Objective Systematic Reviews (SRs) are utilized to summarize evidence from high
quality studies and are considered the preferred source of evidence-based practice (EBP) …
quality studies and are considered the preferred source of evidence-based practice (EBP) …
Unsupervised approaches for measuring textual similarity between legal court case reports
In the domain of legal information retrieval, an important challenge is to compute similarity
between two legal documents. Precedents (statements from prior cases) play an important …
between two legal documents. Precedents (statements from prior cases) play an important …
Wikipedia-based information content and semantic similarity computation
Y Jiang, W Bai, X Zhang, J Hu - Information Processing & Management, 2017 - Elsevier
Abstract The Information Content (IC) of a concept is a fundamental dimension in
computational linguistics. It enables a better understanding of concept's semantics. In the …
computational linguistics. It enables a better understanding of concept's semantics. In the …
Feature-based approaches to semantic similarity assessment of concepts using Wikipedia
Y Jiang, X Zhang, Y Tang, R Nie - Information Processing & Management, 2015 - Elsevier
Semantic similarity assessment between concepts is an important task in many language
related applications. In the past, several approaches to assess similarity by evaluating the …
related applications. In the past, several approaches to assess similarity by evaluating the …
Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis
Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …
relationship between elements of various types: units of language (eg, words, sentences …
A review on semantic similarity
WA Review on Semantic Similarity Page 1 W 7575 Copyright © 2015, IGI Global. Copying or
distributing in print or electronic forms without written permission of IGI Global is prohibited …
distributing in print or electronic forms without written permission of IGI Global is prohibited …
An approach for measuring semantic similarity between Wikipedia concepts using multiple inheritances
MJ Hussain, SH Wasti, G Huang, L Wei, Y Jiang… - Information Processing …, 2020 - Elsevier
Wikipedia provides a huge collaboratively made semi-structured taxonomy called Wikipedia
category graph (WCG), which can be utilized as a Knowledge Graph (KG) to measure the …
category graph (WCG), which can be utilized as a Knowledge Graph (KG) to measure the …
Multi-knowledge resources-based semantic similarity models with application for movie recommender system
G Huang, X Zhu, SH Wasti, Y Jiang - Artificial Intelligence Review, 2023 - Springer
In recent years, researchers have proposed several feature-based methods to measure
semantic similarity using knowledge resources like Wikipedia and WordNet. While …
semantic similarity using knowledge resources like Wikipedia and WordNet. While …
Anonymization of nominal data based on semantic marginality
Nominal attributes are very common in data sets about individuals, specifically medical data
like patient healthcare records. Attributes of this type tend to be sensitive due to their …
like patient healthcare records. Attributes of this type tend to be sensitive due to their …