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| 1 | Science Mapping:A Systematic Review of the Literature显示文摘Purpose: We present a systematic review of the literature concerning major aspects of science mapping to serve two primary purposes: First, to demonstrate the use of a science mapping approach to perform the review so that researchers may apply the procedure to the review of a scientific domain of their own interest, and second, to identify major areas of research activities concerning science mapping, intellectual milestones in the development of key specialties, evolutionary stages of major specialties involved, and the dynamics of transitions from one specialty to another.Design/methodology/approach: We first introduce a theoretical framework of the evolution of a scientific specialty. Then we demonstrate a generic search strategy that can be used to construct a representative dataset of bibliographic records of a domain of research. Next, progressively synthesized co-citation networks are constructed and visualized to aid visual analytic studies of the domain's structural and dynamic patterns and trends. Finally, trajectories of citations made by particular types of authors and articles are presented to illustrate the predictive potential of the analytic approach.Findings: The evolution of the science mapping research involves the development of a number of interrelated specialties. Four major specialties are discussed in detail in terms of four evolutionary stages: conceptualization, tool construction, application, and codification. Underlying connections between major specialties are also explored. The predictive analysis demonstrates citations trajectories of potentially transformative contributions.Research limitations: The systematic review is primarily guided by citation patterns in the dataset retrieved from the literature. The scope of the data is limited by the source of the retrieval, i.e. the Web of Science, and the composite query used. An iterative query refinement is possible if one would like to improve the data quality, although the current approach serves our purpose adequately. More in-depth analyses of each specialty would be more revealing by incorporating additional methods such as citation context analysis and studies of other aspects of scholarly publications.Practical implications: The underlying analytic process of science mapping serves many practical needs, notably bibliometric mapping, knowledge domain visualization, and visualization of scientific literature. In order to master such a complex process of science mapping, researchers often need to develop a diverse set of skills and knowledge that may span multiple disciplines. The approach demonstrated in this article provides a generic method for conducting a systematic review.Originality/value: Incorporating the evolutionary stages of a specialty into the visual analytic study of a research domain is innovative. It provides a systematic methodology for researchers to achieve a good understanding of how scientific fields evolve, to recognize potentially insightful patterns from visually encoded signs, and to synthesize various information so as to capture the state of the art of the domain. | Chaomei Chen | 2017 | Journal of Data and Information Science2017，2，2： | 596 |
| 2 | Rough sets显示文摘 | Zdzis?aw Pawlak | 1982 | International Journal of Computer & Information Sciences1982，，5： | 14 |
| 3 | Masked Sentence Model Based on BERT for Move Recognition in Medical Scientific Abstracts显示文摘Purpose:Mo ve recognition in scientific abstracts is an NLP task of classifying sentences of the abstracts into different types of language units.To improve the performance of move recognition in scientific abstracts,a novel model of move recognition is proposed that outperforms the BERT-based method.Design/methodology/approach:Prevalent models based on BERT for sentence classification often classify sentences without considering the context of the sentences.In this paper,inspired by the BERT masked language model(MLM),we propose a novel model called the masked sentence model that integrates the content and contextual information of the sentences in move recognition.Experiments are conducted on the benchmark dataset PubMed 20K RCT in three steps.Then,we compare our model with HSLN-RNN,BERT-based and SciBERT using the same dataset.Findings:Compared with the BERT-based and SciBERT models,the F1 score of our model outperforms them by 4.96%and 4.34%,respectively,which shows the feasibility and effectiveness of the novel model and the result of our model comes closest to the state-of-theart results of HSLN-RNN at present.Research limitations:The sequential features of move labels are not considered,which might be one of the reasons why HSLN-RNN has better performance.Our model is restricted to dealing with biomedical English literature because we use a dataset from PubMed,which is a typical biomedical database,to fine-tune our model.Practical implications:The proposed model is better and simpler in identifying move structures in scientific abstracts and is worthy of text classification experiments for capturing contextual features of sentences.Originality/value:T he study proposes a masked sentence model based on BERT that considers the contextual features of the sentences in abstracts in a new way.The performance of this classification model is significantly improved by rebuilding the input layer without changing the structure of neural networks. | Gaihong Yu Zhixiong Zhang Huan Liu Liangping Ding | 2019 | Journal of Data and Information Science2019，4，4： | 14 |
| 4 | A view on big data and its relation to Informetrics显示文摘Purpose:Big data offer a huge challenge.Their very existence leads to the contradiction that the more data we have the less accessible they become,as the particular piece of information one is searching for may be buried among terabytes of other data.In this contribution we discuss the origin of big data and point to three challenges when big data arise:Data storage,data processing and generating insights.Design/methodology/approach:Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications:Consistency(C),availability(A)and partition tolerance(P).As an aside we mention Amdahl’s law and its application for scientific collaboration.We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises.We further offer a short informetric study of the field of big data,and point to the ethical dimension of the big data phenomenon.Findings:There still are serious problems to overcome before the field of big data can deliver on its promises.Implications and limitations:This contribution offers a personal view,focusing on the information science aspects,but much more can be said about software aspects.Originality/value:We express the hope that the information scientists,including librarians,will be able to play their full role within the knowledge discovery,data mining and big data communities,leading to exciting developments,the reduction of scientific bottlenecks and really innovative applications. | Ronald ROUSSEAU | 2012 | Chinese Journal of Library and Information Science2012，，3： | 13 |
| 5 | Big Data and Data Science:Opportunities and Challenges of iSchools显示文摘Due to the recent explosion of big data, our society has been rapidly going through digital transformation and entering a new world with numerous eye-opening developments. These new trends impact the society and future jobs, and thus student careers. At the heart of this digital transformation is data science, the discipline that makes sense of big data. With many rapidly emerging digital challenges ahead of us, this article discusses perspectives on iSchools' opportunities and suggestions in data science education. We argue that iSchools should empower their students with 'information computing' disciplines, which we define as the ability to solve problems and create values, information, and knowledge using tools in application domains. As specific approaches to enforcing information computing disciplines in data science education, we suggest the three foci of user-based, tool-based, and applicationbased. These three foci will serve to differentiate the data science education of iSchools from that of computer science or business schools. We present a layered Data Science Education Framework (DSEF) with building blocks that include the three pillars of data science (people, technology, and data), computational thinking, data-driven paradigms, and data science lifecycles. Data science courses built on the top of this framework should thus be executed with user-based, tool-based, and application-based approaches. This framework will help our students think about data science problems from the big picture perspective and foster appropriate problem-solving skills in conjunction with broad perspectives of data science lifecycles. We hope the DSEF discussed in this article will help fellow iSchools in their design of new data science curricula. | Il-Yeol Song Yongjun Zhu | 2017 | Journal of Data and Information Science2017，2，3： | 12 |
| 6 | Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research显示文摘Purpose:First,to review the state-of-the-art in patent citation analysis,particularly characteristics of patent citations to scientific literature(scientific non-patent references,SNPRs).Second,to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs.Design/methodology/approach:In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions.Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents.We also review the research on the role of universities and researchers in technological development,with important issues such as universities as sources of technological knowledge and inventor-author relations.We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science.In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs,the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis,and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis.Findings:We discuss several properties of SNPRs.Only a small minority of publications covered by the Web of Science or Scopus are cited by patents,about 3%–4%.However,for publications based on university-industry collaboration the number of SNPRs is considerably higher,around 15%.The proposed mapping methodology based on a 'second order SNPR approach' enables a better assessment of the technological relevance of research.Research limitations:The main limitation is that a more advanced merging of patent and publication data,in particular unification of author and inventor names,in still a necessity.Practical implications:The proposed mapping methodology enables the creation of a database of technology-relevant papers(TRPs).In a bibliometric assessment the publications of research groups,research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups,programs or institutes are relevant for technological development can be measured.Originality/value:The review part examines a wide range of findings in the research of patent citation analysis.The mapping approach to identify a broad range of technologyrelevant papers is novel and offers new opportunities in research evaluation practices. | Anthony F.J. van Raan | 2017 | Journal of Data and Information Science2017，2，1： | 12 |
| 7 | Rough sets显示文摘 | | 1982 | International Journal of Computer & Information Sciences1982，，5： | 10 |
| 8 | A Bibliometric Framework for Identifying'Princes'Who Wake up the'Sleeping Beauty'in Challenge-type Scientific Discoveries显示文摘Purpose:This paper develops and validates a bibliometric framework for identifying the 'princes'(PR) who wake up the 'sleeping beauty'(SB) in challenge-type scientific discoveries,so as to figure out the awakening mechanisms,and promote potentially valuable but not readily accepted innovative research.(A PR is a research study.)Design/methodology/approach:We propose that PR candidates must meet the following four criteria:(1) be published near the time when the SB began to attract a lot of citations;(2) be highly cited papers themselves;(3) receive a substantial number of co-citations with the SB;and(4) within the challenge-type discoveries which contradict established theories,the 'pulling effect' of the PR on the SB must be strong.We test the usefulness of the bibliometric framework through a case study of a key publication by the 2014 chemistry Nobel laureate Stefan W.Hell,who negated Ernst Abbe's diffraction limit theory,one of the most prominent paradigms in the natural sciences.Findings:The first-ranked candidate PR article identified by the bibliometric framework is in line with historical facts.An SB may need one or more PRs and even 'retinues' to be 'awakened.' Documents with potential awakening functionality tend to be published in prestigious multidisciplinary journals with higher impact and wider scope than the journals publishing SBs.Research limitations:The above framework is only applicable to transformative innovations,and the conclusions are drawn from the analysis of one typical SB and her awakening process.Therefore the generality of our work might be limited.Practical implications:Publications belonging to so-called transformative research,even when less frequently cited,should be given special attention as early as possible,because they may suddenly attract many citations after a period of sleep,as reflected in our case study.Originality/value:The definition of PR(s) as the first paper(s) that cited the SB article(selfciting excluded) has its limitations.Instead,the SB-PR co-citations should be given priority in current environment of scholarly communication.Since the 'premature' or 'transformative' breakthroughs in the challenge-type SB documents are either beyond the current knowledge domain,or violate established paradigms,people's psychological distance from the SB is larger than that from the PR,which explains why the annual citations of the PR are usually higher than those of the SB,especially prior to or during the SB's citation boom period. | Jian Du YishanWu | 2016 | Journal of Data and Information Science2016，1，1： | 9 |
| 9 | An SAO-based approach to technology evolution analysis using patent information: Case study—graphene sensors显示文摘Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively. | Zhengyin HU Shu FANG Ling WEI Yi WEN Xian ZHANG Min WANG | 2015 | Chinese Journal of Library and Information Science2015，，3： | 9 |
| 10 | Duopoly Competition Between Chauffeured Car and Taxi:An Analysis of Pricing and Market Segmentation显示文摘Chauffeured car service(CCS) has developed rapidly in recent years. Although CCS brings convenience and effectiveness, it also triggers some new problems like vicious competition. This work studies the duopoly competition between CCS company and taxi company, in terms of different average cost and number of vehicles of two companies. To find the solutions like the pricing scheme to ease the vicious competition, Hotelling model is introduced. The Hotelling-type model is used to present passengers' preferences to the companies. Besides, failing situation is taken into account in the Hotelling model to describe the situation where passenger's demand is not satisfied in reality. This work theoretically analyzes the price scheme and equilibrium market segmentation based on the average cost and number of vehicles of each company. Furthermore, companies' profits, passengers' utility and social welfare in equilibrium are revealed based on the game theory. The study shows that both of companies can get optimal profits by setting effective price scheme. The company which has higher price, definitely gets less market share. In addition, moderate competition can lead to positive influence on social welfare. | Tong YANG Jiangning WU Jianjun WANG | 2017 | Journal of Systems Science and Information2017，8，6： | 8 |
| 11 | Does conflict matter in the success of mass collaboration? Investigating antecedents and consequence of conflict in Wikipedia显示文摘Purpose: Web2.0 has facilitated the emergence of mass collaboration. Being a new model of virtual collaboration, mass collaboration has distinct characteristics such as self-organized voluntary participation and many-to-many communications mechanism. Behind the sparking achievements, mass collaboration systems are suffering from high coordination cost, reflecting intense conflict among the participants. This study explains how conflict interacts with its antecedents(participation and task complexity) and decedent(group performance) related to the mass collaboration process.Design/methodology/approach: Theoretical model is built upon literatures. Twenty-six measurable items, including social network indices used to reflect conflicts(e.g., density and degree), are extracted from Wikipedia database. The structural equation modeling is used to validate the proposed model.Findings: Participation increases task complexity, conflict and performance; task complexity and conflict increase group performance, but task complexity decreases conflict.Research limitations: This study is limited to one mass collaboration platform, other contexts can cause variance in the result. More characteristics of conflict network(e.g., self-loop)should be taken into consideration in future studies.Practical implications: Conflict management is critical to mass collaboration, and functions that increase the awareness of conflict may motivate users to participant, resulting better group performance.Originality/value: Few studies have investigated the consequences of conflict in mass collaboration context. Meanwhile, limited number of social network studies build network based on negative link. Moreover, most of extant studies on Wiki are descriptive researches without theoretical model. This study builds a theoretical model and incorporates social network approach to explore the influence of conflict. | Kewen WU Qinghua ZHU Julita VASSILEVA Yuxiang ZHAO | 2012 | Chinese Journal of Library and Information Science2012，，1： | 8 |
| 12 | Study of Model of Grey Decision Making to Choose Leading Industry of Cities显示文摘The Leading industry influences the economic development of one city. This paper establishes a decision factor system of choosing leading industry of cities, applies related decision theory in Grey System and invents the procedure of choosing leading industry, which achieved a good practical effect. Afterwards, the city Tianmen acclaims the dress industry as Leading Industry in its 'The Tenth Five-Year Plan for Economic and Social Development of City TianMen'. | JinglongZhang GuangyongChen WeiGuo GangXie | 2004 | Journal of Systems Science and Information2004，2，4： | 8 |
| 13 | Smart Data for Digital Humanities显示文摘The emergence of 'Big Data' has been a dramatic development in recent years.Alongside it,a lesser-known but equally important set of concepts and practices has also come into being—'Smart Data.' This paper shares the author's understanding of what,why,how,who,where,and which data in relation to Smart Data and digital humanities.It concludes that,challenges and opportunities co-exist,but it is certain that Smart Data,the ability to achieve big insights from trusted,contextualized,relevant,cognitive,predictive,and consumable data at any scale,will continue to have extraordinary value in digital humanities. | Marcia Lei Zeng | 2017 | Journal of Data and Information Science2017，2，1： | 8 |
| 14 | Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps显示文摘Purpose: The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps.Design/methodology/approach: We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n=3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map('wc15.exe') is available at http://gffzzcc9cb02d7b4f4bb1hx6o609x56xp96nuk.ffgz.tsg.suse.edu.cn/wc15/index.htm.Findings: Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies.Research limitations: As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science.Practical implications: Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper.Originality/value: The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports. | Stephen Carley Alan L.Porter Ismael Rafols Loet Leydesdorff | 2017 | Journal of Data and Information Science2017，2，3： | 7 |
| 15 | A Criteria-based Assessment of the Coverage of Scopus and Web of Science显示文摘Purpose: The purpose of this study is to assess the coverage of the scientific literature in Scopus and Web of Science from the perspective of research evaluation.Design/methodology/approach: The academic communities of Norway have agreed on certain criteria for what should be included as original research publications in research evaluation and funding contexts. These criteria have been applied since 2004 in a comprehensive bibliographic database called the Norwegian Science Index(NSI). The relative coverages of Scopus and Web of Science are compared with regard to publication type, field of research and language.Findings: Our results show that Scopus covers 72 percent of the total Norwegian scientific and scholarly publication output in 2015 and 2016, while the corresponding figure for Web of Science Core Collection is 69 percent. The coverages are most comprehensive in medicine and health(89 and 87 percent) and in the natural sciences and technology(85 and 84 percent). The social sciences(48 percent in Scopus and 40 percent in Web of Science Core Collection) and particularly the humanities(27 and 23 percent) are much less covered in the two international data sources. Research limitation: Comparing with data from only one country is a limitation of the study, but the criteria used to define a country's scientific output as well as the identification of patterns of field-dependent partial representations in Scopus and Web of Science should be recognizable and useful also for other countries. Originality/value: The novelty of this study is the criteria-based approach to studying coverage problems in the two data sources. | Dag W.Aksnes Gunnar Sivertsen | 2019 | Journal of Data and Information Science2019，4，1： | 7 |
| 16 | Understanding the factors influencing user intention to continue contributing knowledge in social Q&A communities显示文摘Purpose: A social question & answer(SQA) community's long-term sustainability depends on its members' willingness to stay and contribute their knowledge continuously in the community. This research aims to investigate the critical factors which influence users' intention to continue contributing knowledge in the SQA community. Design/methodology/approach: Grounded on information systems(IS) continuance theory, this study put forward a model of the factors that influence SQA community members' intention to continue contributing knowledge. Survey was conducted to gather data from knowledge contributors of four major Chinese SQA communities(Baidu Knows, Sina iAsk, Soso Ask and Yahoo ! Knowledge). By using the partial least squares(PLS) technique, research hypotheses derived from the proposed model were empirically validated. Findings: Except enjoyment in helping others and knowledge self-efficacy, all other factors including extrinsic reward, reputation enhancement, realization of self-worth, perceived usefulness, attitude towards knowledge contribution, and satisfaction exert significant impacts on users' continuance intentions in an SQA community. Research limitations: First, important factors such as the ease of use of information systems which may influence users' continuance intentions were not investigated in the study. Second, the study sample needs to be enlarged, and users of smaller SQA communities should also be included, to make the results more representative. Practical implications: This study will help SQA community designers and managers develop or improve incentive mechanisms to attract more people to contribute their knowledgeand promote the development of the SQA community. Originality/value: This study improves the previous research models and puts forward a model of user continuance intention to contribute knowledge in an SQA community. It willextend the understanding of SQA community users' intention to continue contributing knowledge by distinguishing these users' different roles and focusing only on knowledge contributors. | Xian GUAN Shengli DENG | 2013 | Chinese Journal of Library and Information Science2013，，3： | 7 |
| 17 | Academic institutional repositories in China:A survey of CALIS member libraries显示文摘Purpose:China Academic Library&Information System(CALIS)planned to launch an institutional repository(IR)project to promote IR development and open access at colleges and universities in China.In order to get to know the current state of IRs in academic institutions,with the help of Peking University Library,CALIS Administrative Center conducted this survey.Design/methodology/approach:We conducted an online survey of CALIS member libraries.Findings:Firstly,the development of IRs at China’s colleges and universities is still in its infancy.Secondly,the Chinese colleges and universities have reached a consensus on the objective for having an IR.Thirdly,they are having high expectations of IR functions.Fourthly,they prefer to establish a centralized IR system at a minimum cost.Finally,there are both similarities and differences between the Chinese academic institutions and their counterparts in other countries in the state of IR development.Research limitations:The questionnaire needs to be improved because there is a lack of enough questions for those who do not plan to build an IR.Comparatively lower rate of valid questionnaire return can affect the accuracy of the results.It is hard to go into an in-depth discussion only based on the data collected from this questionnaire survey,and consequently,the findings from the survey can hardly present an accurate and comprehensive picture of the current state of IR development in the academic sector in China.Practical implications:The survey results provide essential foundation for CALIS IR project,and meanwhile the research can serve as a reference source for the future studies of the development of IRs at China’s colleges and universities.Originality/value:It is the first national survey focused on the development of IRs in academic institutions in China. | Yongchao ZHAO Xiaoxia YAO Chengfu WEI | 2012 | Chinese Journal of Library and Information Science2012，，2： | 6 |
| 18 | The Algebraic Properties of Concept Lattice显示文摘Concept lattice is a powerful tool for data analysis. It has been applied widely to machine learning, knowledge discovery and software engineering and so on. Some aspects of concept lattice have been studied widely such as building lattice and rules extraction, as for its algebraic properties, there has not been discussed systematically. The paper suggests a binary operation between the elements for the set of all concepts in formal context. This turns the concept lattice in general significance into those with operators. We also proved that the concept lattice is a lattice in algebraic significance and studied its algebraic properties.These results provided theoretical foundation and a new method for further study of concept lattice. | KaisheQu JiyeLiang JunhongWang ZhongzhiShi | 2004 | Journal of Systems Science and Information2004，2，2： | 6 |
| 19 | Topic Detection Based on Weak Tie Analysis: A Case Study of LIS Research显示文摘Purpose: Based on the weak tie theory, this paper proposes a series of connection indicators Acof weak tie subnets and weak tie nodes to detect research topics, recognize their connections, and understand their evolution.Design/methodology/approach: First, keywords are extracted from article titles and preprocessed. Second, high-frequency keywords are selected to generate weak tie co-occurrence networks. By removing the internal lines of clustered sub-topic networks, we focus on the analysis of weak tie subnets' composition and functions and the weak tie nodes' roles.Findings: The research topics' clusters and themes changed yearly; the subnets clustered with technique-related and methodology-related topics have been the core, important subnets for years; while close subnets are highly independent, research topics are generally concentrated and most topics are application-related; the roles and functions of nodes and weak ties are diversified.Research limitations: The parameter values are somewhat inconsistent; the weak tie subnets and nodes are classified based on empirical observations, and the conclusions are not verified or compared to other methods.Practical implications: The research is valuable for detecting important research topics as well as their roles, interrelations, and evolution trends. Originality/value: To contribute to the strength of weak tie theory, the research translates weak and strong ties concepts to co-occurrence strength, and analyzes weak ties' functions. Also, the research proposes a quantitative method to classify and measure the topics' clusters and nodes. | Ling Wei Haiyun Xu Zhenmeng Wang Kun Dong Chao Wang Shu Fang | 2016 | Journal of Data and Information Science2016，1，4： | 6 |
| 20 | Rediscovering Don Swanson:The Past,Present and Future of Literature-based Discovery显示文摘Purpose: The late Don R.Swanson was well appreciated during his lifetime as Dean of the Graduate Library School at University of Chicago,as winner of the American Society for Information Science Award of Merit for 2000,and as author of many seminal articles.In this informal essay,I will give my personal perspective on Don's contributions to science,and outline some current and future directions in literature-based discovery that are rooted in concepts that he developed.Design/methodology/approach: Personal recollections and literature review.Findings: The Swanson A-B-C model of literature-based discovery has been successfully used by laboratory investigators analyzing their findings and hypotheses.It continues to be a fertile area of research in a wide range of application areas including text mining,drugrepurposing,studies of scientific innovation,knowledge discovery in databases,and bioinformatics.Recently,additional modes of discovery that do not follow the A-B-C model have also been proposed and explored(e.g.so-called storytelling,gaps,analogies,link prediction,negative consensus,outliers,and revival of neglected or discarded research questions).Research limitations: This paper reflects the opinions of the author and is not a comprehensive nor technically based review of literature-based discovery.Practical implications: The general scientific public is still not aware of the availability of tools for literature-based discovery.Our Arrowsmith project site maintains a suite of discovery tools that are free and open to the public(http://gffzz31a0be1597de4bbahx6o609x56xp96nuk.ffgz.tsg.suse.edu.cn),as does BITOLA which is maintained by Dmitar Hristovski(http://http://gffzz58b759aedd624224hx6o609x56xp96nuk.ffgz.tsg.suse.edu.cn/bitola),and Epiphanet which is maintained by Trevor Cohen(http://gffzz61b0bff3167f41c7hx6o609x56xp96nuk.ffgz.tsg.suse.edu.cn/).Bringing user-friendly tools to the public should be a high priority,since even more than advancing basic research in informatics,it is vital that we ensure that scientists actually use discovery tools and that these are actually able to help them make experimental discoveries in the lab and in the clinic.Originality/value: This paper discusses problems and issues which were inherent in Don's thoughts during his life,including those which have not yet been fully taken up and studied systematically. | Neil R.Smalheiser | 2017 | Journal of Data and Information Science2017，2，4： | 6 |
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