Paper Info
Title
Semantically linking events for massive scientific literature research.
Abstract
Purpose - This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology. Design/methodology/approach - Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis. Findings - This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation. Research limitations/implications - The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues. Originality/value - This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.
Year
DOI
Venue
2017
10.1108/EL-09-2016-0198
ELECTRONIC LIBRARY
Keywords
Field
DocType
Information analysis,Research event,Scientific literature,Semantic link network
Data science,Scientific literature,Metadata,World Wide Web,Information visualization,Computer science,Originality,Technical information,Analytics,Big data,Scientific method
Journal
Volume
Issue
ISSN
35.0
SP4.0
0264-0473
Citations 
PageRank 
References 
4
0.49
23
Authors
3
Name
Order
Citations
PageRank
Junsheng Zhang120325.16
Yunchuan Sun253454.06
Changqing Yao3226.71