A novel embedding model for knowledge base completion based on convolutional neural network
In this paper, we propose a novel embedding model, named ConvKB, for knowledge base
completion. Our model ConvKB advances state-of-the-art models by employing a …
completion. Our model ConvKB advances state-of-the-art models by employing a …
Retrofitting word vectors to semantic lexicons
Vector space word representations are learned from distributional information of words in
large corpora. Although such statistics are semantically informative, they disregard the …
large corpora. Although such statistics are semantically informative, they disregard the …
Overview on the development of intelligent methods for mineral resource prediction under the background of geological big data
S Li, J Chen, C Liu - Minerals, 2022 - mdpi.com
In the age of big data, the prediction and evaluation of geological mineral resources have
gradually entered a new stage, intelligent prospecting. This review briefly summarizes the …
gradually entered a new stage, intelligent prospecting. This review briefly summarizes the …
Computing semantic similarity of concepts in knowledge graphs
G Zhu, CA Iglesias - IEEE Transactions on Knowledge and Data …, 2016 - ieeexplore.ieee.org
This paper presents a method for measuring the semantic similarity between concepts in
Knowledge Graphs (KGs) such as WordNet and DBpedia. Previous work on semantic …
Knowledge Graphs (KGs) such as WordNet and DBpedia. Previous work on semantic …
RDF2Vec: RDF graph embeddings and their applications
Abstract Linked Open Data has been recognized as a valuable source for background
information in many data mining and information retrieval tasks. However, most of the …
information in many data mining and information retrieval tasks. However, most of the …
Information extraction and knowledge graph construction from geoscience literature
Geoscience literature published online is an important part of open data, and brings both
challenges and opportunities for data analysis. Compared with studies of numerical …
challenges and opportunities for data analysis. Compared with studies of numerical …
Case-based reasoning system for fault diagnosis of aero-engines
M Chen, R Qu, W Fang - Expert Systems with Applications, 2022 - Elsevier
Fault diagnosis in aero-engines typically requires an experienced expert for understanding
and detecting the cause of faults. However, accurate and quick identification of fault parts is …
and detecting the cause of faults. However, accurate and quick identification of fault parts is …
Two-phase multidocument summarization through content-attention-based subtopic detection
Multidocument summarization problem deals with extracting main information and ideas
from a set of related documents. Solution to this problem is to find an extraction strategy that …
from a set of related documents. Solution to this problem is to find an extraction strategy that …
[HTML][HTML] FacTeR-Check: Semi-automated fact-checking through semantic similarity and natural language inference
Our society produces and shares overwhelming amounts of information through Online
Social Networks (OSNs). Within this environment, misinformation and disinformation have …
Social Networks (OSNs). Within this environment, misinformation and disinformation have …
Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques
A large number of georeferenced quantitative data about rock and geoscience surveys are
buried in geological documents and remain unused. Data analytics and information …
buried in geological documents and remain unused. Data analytics and information …