Aslib Journal of Information Management: Volume 75 Issue 3

Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence

Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang

Band gap information extraction from materials science literature – a pilot study

Satanu Ghosh, Kun Lu

The purpose of this paper is to present a preliminary work on extracting band gap information of materials from academic papers. With increasing demand for renewable energy, band…

A deep active learning-based and crowdsourcing-assisted solution for named entity recognition in Chinese historical corpora

Chengxi Yan, Xuemei Tang, Hao Yang, Jun Wang

The majority of existing studies about named entity recognition (NER) concentrate on the prediction enhancement of deep neural network (DNN)-based models themselves, but the…

Extracting entity relations for “problem-solving” knowledge graph of scientific domains using word analogy

Guo Chen, Jiabin Peng, Tianxiang Xu, Lu Xiao

Problem-solving” is the most crucial key insight of scientific research. This study focuses on constructing the “problem-solving” knowledge graph of scientific domains by…

A knowledge graph completion model integrating entity description and network structure

Chuanming Yu, Zhengang Zhang, Lu An, Gang Li

In recent years, knowledge graph completion has gained increasing research focus and shown significant improvements. However, most existing models only use the structures of…

Bureau for Rapid Annotation Tool: collaboration can do more among variance annotations

Zheng Wang, Shuo Xu, Yibo Wang, Xiaojiao Chai, Liang Chen

The purpose of this study is to solve the problems caused by the growing volumes of pre-annotated literature and variety-oriented annotations, including teamwork, quality control…

Integrated entitymetrics analysis for health information on bipolar disorder using social media data and scientific literature

Tatsawan Timakum, Min Song, Giyeong Kim

This study aimed to examine the mental health information entities and associations between the biomedical, psychological and social domains of bipolar disorder (BD) by analyzing…

Understanding relationship between topic selection and academic performance of scientific teams based on entity popularity trend

Tongyang Zhang, Fang Tan, Chao Yu, Jiexun Wu, Jian Xu

Proper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic…

Measuring the interdisciplinary characteristics of Chinese research in library and information science based on knowledge elements

Jinxiang Zeng, Shujin Cao, Yijin Chen, Pei Pan, Yafang Cai

This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the…

Discovery of topic evolution path and semantic relationship based on patent entity representation

Jinzhu Zhang, Yue Liu, Linqi Jiang, Jialu Shi

This paper aims to propose a method for better discovering topic evolution path and semantic relationship from the perspective of patent entity extraction and semantic…