A Novel Method for Resolving and Completing Authors' Country Affiliation Data in Bibliographic Records

Purpose: Our work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration(IRC).Design/methodology/approch: We propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data sets.Findings: Our evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring IRC.Research limitations: Though our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over time.Practical implications: The new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge graph.Originality: This is the first attempt to enrich bibliographic data using a peer-produced, Webbased knowledge graph like Wikidata.

Warehousing and OLAP Analysis of Bibliographic Data

In this paper, the system bgMath/OLAP for warehousing and online analytical processing bibliographic data is proposed. The implemented system can be useful for the users maintaining their electronic libraries with publications in order to monitoring, evaluating and comparing the scientific development of particular researchers, entire research groups, certain scientific fields and problems.

Recommender System for Information Retrieval Using Natural Language Querying Interface Based in Bibliographic Research for Naïve Users

With the increasing of data on the internet, data analysis has become inescapable to gain time and efficiency, especially in bibliographic information retrieval systems. We can estimate the number of actual scientific journals points to around 40,000 with about four million articles published each year. Machine learning and deep learning applied to recommender systems had become unavoidable whether in industry or in research. In this current, we propose an optimized interface for bibliographic information retrieval as a running example, which allows different kind of researchers to find their needs following some relevant criteria through natural language understanding. Papers indexed in Web of Science and Scopus are in high demand. Natural language including text and linguistic-based techniques, such as tokenization, named entity recognition, syntactic and semantic analysis, are used to express natural language queries. Our Interface uses association rules to find more related papers for recommendation. Spanning trees are challenged to optimize the search process of the system.

A FORTRAN Software Application to Decode Geographical, Lithological, Political, and Bibliographical Information from the IGBADAT International Database on Igneous Rocks

GEOLITH is a FORTRAN program designed primarily to extract and decode geographical, lithological, political, and bibliographical information from the international igneous rocks database IGBADAT. It fetches the following information: sample name, sample latitude and longitude locational coordinates, name of specimen contributor to the database, nominal field and proper rock names, name of geological unit, name and title of rock groups, name of country and province of sample, and sample cultural location. Rock group name and title and geological unit name are decoded directly by simple manipulation and translation of text strings, while other types of information utilize pneumonic representations for decoding. Users interrogate the IGBADAT (and similarly-structured databases) fully, producing a voluminous wealth of data. Output from the GEOLITH software tool is a flat ASCII text file containing the decoded information. A spreadsheet-compatible file containing the output results is also produced. The latter file is ready for inclusion into a spreadsheet like EXCEL. An error file also results from the application of the GEOLITH program.

Tsien tsuen-hsuin and his bibliographical study

Tsien Tsuen-Hsuin is a renowned Chinese-American expert on book history,printing history and the Library Science.However,his bibliographical thoughts have been ignored so far.Therefore,this paper is intended to make a tentative interpretation of his bibliographical thoughts by means of both textual analysis and historical analysis.

Evidence-based literature review:De-duplication a cornerstone for quality

Evidence-based literature reviews play a vital role in contemporary research,facilitating the synthesis of knowledge from multiple sources to inform decisionmaking and scientific advancements.Within this framework,de-duplication emerges as a part of the process for ensuring the integrity and reliability of evidence extraction.This opinion review delves into the evolution of de-duplication,highlights its importance in evidence synthesis,explores various de-duplication methods,discusses evolving technologies,and proposes best practices.By addressing ethical considerations this paper emphasizes the significance of deduplication as a cornerstone for quality in evidence-based literature reviews.

An overview of proven Climate Change Vulnerability Assessment tools for forests and forest-dependent communities across the globe：a literature analysis

Climate Change Vulnerability Assessment（VA） tools for forest ecosystems and forest-dependent communities are important for making decisions and understanding the impact of climate change on both social and natural systems.However,the tools are poorly coordinated,making it difficult for policymakers to carry out VAs properly.The aim of this study was to analyze VA literature worldwide to find representative case studies in terms of methods and tools applied and which have been successful in performing VAs on forests and forest-dependent communities.All successful VA studies analyzed had common characteristics such as significant funding,data availability and technical capacity.An additional characteristic was the development of an integrated approach that considered the vulnerability of both ecosystems and communities by combining qualitative and quantitative methods.Community members and relevant stakeholders were significantly involved in a participatory process that concluded with the identification of adaptation measures.The case studies also revealed how policymakers need to choose suitable methods and tools to undertake efficient assessment of vulnerabilities.They need to consider several aspects of the VA process such as subject matter,availability of resources,time and scale.

Do civil engineering fronts emerge from interdisciplinary research?

Interdisciplinary research is considered a source of innovativeness and creativity, serving as a key mechanism for creating recombination necessary for the evolution of science systems. The aim of this study is to quantitatively establish the connection between interdisciplinary research and the research fronts that have recently emerged in civil engineering. The degree of interdisciplinarity of the research fronts was measured by developing metrics from bibliographic analyses. As indicated by the consistent increase in the metrics of interdisciplinarity over time, research fronts tend to emerge in studies with increasing diversity in the disciplines involved. The active disciplines involved in the fronts vary over time. The most active disciplines are no longer fundamental but those associated with energy, environment, and sustainable development, focusing on solutions to climate change and integrating intelligence technologies.

Medicine-Engineering Interdisciplinary Research Based on Bibliometric Analysis: A Case Study on Medicine-Engineering Institutional Cooperation of Shanghai Jiao Tong University

This article aims to provide reference for medicine-engineering interdisciplinary research.Targeted at the scientific literature and patent literature published by Shanghai Jiao Tong University,this article attempts to set up co-occurrence matrix of medicine-engineering institutional information which was extracted from address fields of the papers,so as to construct the medicine-engineering intersection datasets.The dataset of scientific literature was analyzed using bibliometrics and visualization methods from multiple dimensions,and the most active factors,such as trends of output,journal and subject distribution,were identified from the indicators of category normalized citation impact(CNCI),times cited,keywords,citation topics and the degree of medicineengineering interdisplinary.Research on hotspots and trends was discussed in detail.Analyses of the dataset of patent literature showed research themes and measured the degree for technology convergence of medicineengineering.

Microcapsule-enabled self-healing concrete:A bibliometric analysis

With the development of self-healing technology, the overall properties of the microcapsule-enabled selfhealingconcrete have taken a giant leap. In this research, a detailed assessment of current research on the microcapsuleenabledself-healing concrete is conducted, together with bibliometric analysis. In the bibliometric analysis, variousindicators are considered. The current state of progress regarding self-healing concrete is assessed, and an analysis of thetemporal distribution of documents, organizations and countries of literature is conducted. Later, a discussion of thecitations is analyzed. The research summarizes the improvements of microcapsule-enabled self-healing cementitiouscomposites and provides a concise background overview.

Exploration of Clinical Regularity in Acupuncture for Apoplexy Sequelae Based upon ‘Traditional Chinese Medical Acupuncture-moxibustion Information Databank'

In review of acupuncture literature from 1949 to 2010, in accordance with the data in ‘Traditional Chinese Medical Acupuncture-moxibustion Information Databank', the accounting analysis was used for comprehensive analysis and regularity summery of acupuncture therapy for apoplexy sequelae. The results showed that Hegu(LI 4), Zusanli(ST 36), Quchi(LI 11), Jianyu(LI 15), Sanyinjiao(SP 6), Yanglingquan(GB 34), Lianquan(CV 23), and Waiguan(TE 5) were used at the highest frequency. In the therapeutic methods, acupuncture was used at the highest frequency, followed by scalp acupuncture, and simultaneous application of acupuncture and herbal medicine.

Analysis of the Frequency of Clinical Acupoint Use Based on ‘Traditional Chinese Medical Acupuncture-moxibustion Information Databank'

The frequencies of use of 361 human acupoints in 74 academic journals of traditional Chinese medicine published between 1949 and 2010 are arranged in order using ‘Traditional Chinese Medical Acupuncturemoxibustion Information Databank'. The frequencies of use are divided into five grades: most frequent use, more frequent use, frequent use, less frequent use and infrequent use. The most frequently used acupoints and infrequently used acupoints are summarized and analyzed to help point selection for clinical acupuncture and selection of acupuncture research projects in the future.

The Computer Science Ontology:A Comprehensive Automatically-Generated Taxonomy of Research Areas

Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research landscape.Some fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology and PhySH in Physics.Conversely,current Computer Science taxonomies are coarse-grained and tend to evolve slowly.For instance,the ACM classification scheme contains only about 2K research topics and the last version dates back to 2012.In this paper,we introduce the Computer Science Ontology(CSO),a large-scale,automatically generated ontology of research areas,which includes about 14K topics and 162K semantic relationships.It was created by applying the Klink-2 algorithm on a very large data set of 16M scientific articles.CSO presents two main advantages over the alternatives:i)it includes a very large number of topics that do not appear in other classifications,and ii)it can be updated automatically by running Klink-2 on recent corpora of publications.CSO powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions,such as classifying research publications,detecting research communities,and predicting research trends.To facilitate the uptake of CSO,we have also released the CSO Classifier,a tool for automatically classifying research papers,and the CSO Portal,a Web application that enables users to download,explore,and provide granular feedback on CSO.Users can use the portal to navigate and visualize sections of the ontology,rate topics and relationships,and suggest missing ones.The portal will support the publication of and access to regular new releases of CSO,with the aim of providing a comprehensive resource to the various research communities engaged with scholarly data.