近20年计算机与信息科学领域研究进展——IPM期刊主题分析

李涵霄; 杜杏叶

doi:10.13266/j.issn.2095-5472.2022.003

PDF(2716 KB)

知识管理论坛 ›› 2022, Vol. 7 ›› Issue (1) : 24-36. DOI: 10.13266/j.issn.2095-5472.2022.003

学术探索

近20年计算机与信息科学领域研究进展——IPM期刊主题分析

李涵霄 ¹^,² ,
杜杏叶 ¹^,²

作者信息 +

Research Progress in Computer and Information Science in Recent 20 Years: Thematic Analysis of Information Processing and Management

Li Hanxiao ¹^,² ,
Du Xingye ¹^,²

Author information +

文章历史 +

摘要

[目的/意义] 对《信息处理与管理》2000-2020年刊载论文进行主题分析，以了解IPM期刊的主题侧重与演进趋势，为计算机与信息科学领域发展及相关研究提供参考。[方法/过程] 首先，基于ScienceDirect全文数据库中的1 852篇研究论文，对论文标题、摘要与关键词进行统计与可视化，划分主题大类；其次，对各类别的研究主题进行系统梳理；最后，比较不同时期的研究重点，分析主题演进趋势。[结果/结论] IPM主要关注信息检索、文本分析、用户研究3类主题，总体呈现出始终以信息检索为核心主题、从文本与信息分析向多媒体与知识分析转变、对用户情感的深入分析与挖掘等演变特征。

Abstract

[Purpose/significance] This paper analyzes the themes of papers published in Information Processing and Management from 2000 to 2020, in order to know the thematic focus and evolution trends of IPM, and provide references for the development and related research of computer and information science. [Method/process] Firstly, based on 1852 research papers in the full-text database of ScienceDirect, this paper counted and visualized the titles, abstracts and keywords of the papers to classify the thematic categories. Then, this paper analyzed the research themes of each category systematically. At last, it compared the thematic focus in different periods and analyzed thematic evolution trends. [Result/conclusion] IPM mainly focuses on three themes of information retrieval, text analysis and user research, and presented evolution characteristics in general: information retrieval as the core theme, transform from text and information analysis to multimedia and knowledge analysis, and in-depth analysis and mining of user sentiments.

导出引用

李涵霄 , 杜杏叶. 近20年计算机与信息科学领域研究进展——IPM期刊主题分析[J]. 知识管理论坛. 2022, 7(1): 24-36 https://doi.org/10.13266/j.issn.2095-5472.2022.003

Li Hanxiao , Du Xingye. Research Progress in Computer and Information Science in Recent 20 Years: Thematic Analysis of Information Processing and Management[J]. Knowledge Management Forum. 2022, 7(1): 24-36 https://doi.org/10.13266/j.issn.2095-5472.2022.003

中图分类号： G201

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	初景利.高端交流平台建设需要创新学术交流模式[J].智库理论与实践,2021,6(1):7-9. 本文引用 [1]

[2]	DEHART F E. Monographic references and information science journal literature[J]. Information processing & management, 1992, 28(5):629-635. 本文引用 [1]

[3]	TSAY M Y. A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998–2008[J]. Scientometrics, 2011, 89(2):591-606. 本文引用 [1]

[4]	王曰芬,靳嘉林.比较分析《现代图书情报技术》近10年发文特征与发展趋势[J].现代图书情报技术,2016(9):1-16. 本文引用 [1]

[5]	焦丽.我国信息检索研究综述[J].情报探索,2007(6):11-14. 本文引用 [1]

[6]	王斌.信息检索导论[M].北京:人民邮电出版社,2010. 本文引用 [1]

[7]	SPARCK JONES K, WALKER S, ROBERTSON S E. A probabilistic model of information retrieval: development and comparative experiments Part 1[J]. Information processing & management, 2000, 36(6):779-808. 本文引用 [1]

[8]	SPARCK JONES K, WALKER S, ROBERTSON S E. A probabilistic model of information retrieval: development and comparative experiments Part 2[J]. Information processing & management, 2000, 36(6): 809-840. 本文引用 [1]

[9]	ROBERTSON S E, SPARCK JONES K. Relevance weighting of search terms[J]. Journal of the American Society for Information Science,1976,27(3):129-146. 本文引用 [1]

[10]	龚庆雄. 基于实体的信息检索模型研究[D].武汉:华中师范大学,2020. 本文引用 [2]

[11]	XU Z B, AKELLA R. Improving probabilistic information retrieval by modeling burstiness of words[J]. Information processing & management, 2010, 46(2):143-158. 本文引用 [1]

[12]	DAHAK F, BOUGHANEM M, BALLA A. A probabilistic model to exploit user expectations in XML information retrieval[J]. Information processing & management, 2017, 53(1):87-105. 本文引用 [1]

[13]	TAI X Y, REN F, KITA K. An information retrieval model based on vector space method by supervised learning[J]. Information processing & management, 2002, 38(6):749-764. 本文引用 [1]

[14]	GUO J F, FAN Y X, PANG L, et al. A Deep Look into neural ranking models for information retrieval[J]. Information processing & management, 2020, 57(6):102067. 本文引用 [1]

[15]	VAUGHAN L. New measurements for search engine evaluation proposed and tested[J]. Information processing & management, 2004, 40(4):677-691. 本文引用 [1]

[16]	CAN F, NURAY R, SEVDIK A B. Automatic performance evaluation of Web search engines[J]. Information processing & management, 2004, 40(3):495-514. 本文引用 [1]

[17]	KIM H, SEO J Y. High-performance FAQ retrieval using an automatic clustering method of query logs[J]. Information processing & management, 2006, 42(3):650-661. 本文引用 [1]

[18]	JUNG S, HERLOCKER J L, WEBSTER J. Click data as implicit relevance feedback in Web search[J]. Information processing & management, 2007, 43(3):791-807. 本文引用 [1]

[19]	WANG J M, PAN M, HE T T, et al. A Pseudo-relevance feedback framework combining relevance matching and semantic matching for information retrieval[J]. Information processing & management, 2020, 57(6):102342. 本文引用 [1]

[20]	BIDOKI A M Z, YAZDANI N. DistanceRank: an intelligent ranking algorithm for Web pages[J]. Information processing & management, 2008, 44(2):877-892. 本文引用 [1]

[21]	孙君顶,原芳.基于内容的图像检索技术[J].计算机系统应用,2011,20(8):240-244. 本文引用 [1]

[22]	HUANG P W, DAI S K. Design of a two-stage content-based image retrieval system using texture similarity[J]. Information processing & management, 2004, 40(1):81-96. 本文引用 [1]

[23]	LU T C, CHANG C C. Color image retrieval technique based on color features and image bitmap[J]. Information processing & management, 2007, 43(2):461-472. 本文引用 [1]

[24]	图像检索：基于内容的图像检索技术[EB/OL].[2021-09-17].https://www.cnblogs.com/king-lps/p/11407206.html. 本文引用 [1]

[25]	PANDEY S, KHANNA P, YOKOTA H. A semantics and image retrieval system for hierarchical image databases[J]. Information processing & management, 2016, 52(4):571-591. 本文引用 [1]

[26]	袁军鹏,朱东华,李毅,等.文本挖掘技术研究进展[J].计算机应用研究,2006(2):1-4. 本文引用 [1]

[27]	肖建国.试论文本挖掘及其应用[J].图书馆学研究,2008(4):22-24. 本文引用 [1]

[28]	ALTINEL B, GANIZ M C. Semantic text classification: a survey of past and recent advances[J]. Information processing & management, 2018, 54(6):1129-1153. 本文引用 [1]

[29]	ELNAGAR A, AL-DEBSI R, EINEA O. Arabic text classification using deep learning models[J]. Information processing & management, 2020, 57(1):102121. 本文引用 [1]

[30]	MOHASSEB A, BADER-EL-DEN M, COCEA M. Question categorization and classification using grammar based approach[J]. Information processing & management, 2018, 54(6):1228-1243. 本文引用 [1]

[31]	KASTRATI Z, IMRAN A S, YAYILGAN S Y. The impact of deep learning on document classification using semantically rich representations[J]. Information processing & management, 2019, 56(5):1618-1632. 本文引用 [1]

[32]	HU G B, ZHOU S G, GUAN J H, et al. Towards effective document clustering: a constrained K-means based approach[J]. Information processing & management, 2008, 44(4):1397-1409. 本文引用 [1]

[33]	CHEN C L, TSENG F S C, LIANG T. Mining fuzzy frequent item sets for hierarchical document clustering[J]. Information processing & management, 2010, 46(2):193-211. 本文引用 [1]

[34]	ZHU S F, TAKIGAWA I, ZENG J. Field independent probabilistic model for clustering multi-field documents[J]. Information processing & management, 2009, 45(5):555-570. 本文引用 [1]

[35]	FERSINI E, MESSINA E, ARCHETTI F. A probabilistic relational approach for Web document clustering[J]. Information processing & management, 2010, 46(2):117-130. 本文引用 [1]

[36]	SOULIER L, TAMINE L, SHAH C. MineRank: leveraging users' latent roles for unsupervised collaborative information retrieval[J]. Information processing & management, 2016, 52(6):1122-1141. 本文引用 [1]

[37]	KUCUKYILMAZ T, CAMBAZOGLU B B, AYKANAT C, et al. Chat mining: predicting user and message attributes in computer-mediated communication[J]. Information processing & management, 2008, 44(4):1448-1466. 本文引用 [1]

[38]	TSENG Y H, LIN C J, LIN Y I. Text mining techniques for patent analysis[J]. Information processing & management, 2007, 43(5):1216-1247. 本文引用 [1]

[39]	PONS-PORRATA A, BERLANGA-LLAVORI R, RUIZ-SHULCLOPER J. Topic discovery based on text mining techniques[J]. Information processing & management, 2007, 43(3):752-768. 本文引用 [1]

[40]	洪江涛,陈榴寅,黄沛.第三方点评网站对餐饮企业品牌形象与消费者行为的影响研究——以大众点评网为例[J].财贸经济,2013(10):108-117. 本文引用 [1]

[41]	LIU B. Sentiment analysis and opinion mining[M]. San Rafael: Morgan & Claypool Publishers, 2012. 本文引用 [1]

[42]	马力,宫玉龙.文本情感分析研究综述[J].电子科技,2014,27(11):180-184. 本文引用 [1]

[43]	MOHAMMAD S M, ZHU X D, KIRITCHENKO S, et al. Sentiment, emotion, purpose, and style in electoral tweets[J]. Information processing & management, 2015, 51(4):480-499. 本文引用 [1]

[44]	BALAHUR A, PEREA-ORTEGA J M. Sentiment analysis system adaptation for multilingual processing: the case of tweets[J]. Information processing & management, 2015, 51(4):547-556. 本文引用 [1]

[45]	SEVERYN A, MOSCHITTI A, URYUPINA O, et al. Multi-lingual opinion mining on YouTube[J]. Information processing & management, 2016, 52(1):46-60. 本文引用 [2]

[46]	AL-SMADI M, AL-AYYOUB M, JARARWEH Y, et al. Enhancing aspect-based sentiment analysis of Arabic Hotels' reviews using morphological, syntactic and semantic features[J]. Information processing & management, 2019, 56(2):308-319. 本文引用 [1]

[47]	KUMAR A, SRINIVASAN K, CHENG W H. Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data[J]. Information processing & management, 2020, 57(1):102141. 本文引用 [1]

[48]	MAHMOOD Z, SAFDER I, NAWAB R M A, et al. Deep sentiments in Roman Urdu text using recurrent convolutional neural network model[J]. Information processing & management, 2020, 57(4):102233. 本文引用 [1]

[49]	漆桂林,高桓,吴天星.知识图谱研究进展[J].情报工程,2017,3(1):4-25. 本文引用 [1]

[50]	CHO H C, OKAZAKI N, MIWA M, et al. Named entity recognition with multiple segment representations[J]. Information processing & management, 2013, 49(4):954-965. 本文引用 [1]

[51]	DERZYNSKI L, MAYNARD D, RIZZO G, et al. Analysis of named entity recognition and linking for tweets[J]. Information processing & management, 2015, 51(2):32-49. 本文引用 [1]

[52]	TANG X, CHEN L, CUI J, et al. Knowledge representation learning with entity descriptions, hierarchical types, and textual relations[J]. Information processing & management, 2019, 56(3):809-822. 本文引用 [1]

[53]	BOUNHAS I, SOUDANI N, SLIMANI Y. Building a morpho-semantic knowledge graph for Arabic information retrieval[J]. Information processing & management, 2020, 57(6):102124. 本文引用 [1]

[54]	LI D F, MADDEN A. Cascade embedding model for knowledge graph inference and retrieval[J]. Information processing & management, 2019, 56(6):102093. 本文引用 [1]

[55]	SHIN S, JIN X, JUNG J, et al. Predicate constraints based question answering over knowledge graph[J]. Information processing & management, 2019, 56(3):445-462. 本文引用 [1]

[56]	JANSSENS F, LETA J, GLANZEL W, et al. Towards mapping library and information science[J]. Information processing & management, 2006, 42(6):1614-1642. 本文引用 [1]

[57]	张一涵,袁勤俭.我国用户信息行为研究进展[J].国家图书馆学刊,2014,23(6):91-98. 本文引用 [1]

[58]	靳荣林. 大学生自主学习情境下的信息搜寻行为影响因素探究[D].保定: 河北大学,2019. 本文引用 [1]

[59]	MAKRI S, BLANDFORD A, COX A L. Investigating the information-seeking behaviour of academic lawyers: from Ellis's model to design[J]. Information processing & management, 2008, 44(2):613-634. 本文引用 [1]

[60]	JAMALI H R, NICHOLAS D. Interdisciplinarity and the information-seeking behavior of scientists[J]. Information processing & management, 2010, 46(2):233-243. 本文引用 [1]

[61]	LYKKE M, PRICE S, DELCAMBRE L. How doctors search: a study of query behaviour and the impact on search results[J]. Information processing & management, 2012, 48(6):1151-1170. 本文引用 [1]

[62]	PIAN W J, SONG S J, ZHANG Y. Consumer health information needs: a systematic review of measures[J]. Information processing & management, 2020, 57(2):102077. 本文引用 [1]

[63]	ZHANG X F, GUO F, XU T X, et al. What motivates physicians to share free health information on online health platforms?[J]. Information processing & management, 2020, 57(2):102166. 本文引用 [1]

[64]	HUVILA I, ENWALD H, ERIKSSON-BACKA K, et al. Anticipating ageing: older adults reading their medical records[J]. Information processing & management, 2018, 54(3):394-407. 本文引用 [1]

[65]	JOHNSON J D. Health-related information seeking: is it worth it?[J]. Information processing & management, 2014, 50(5):708-717. 本文引用 [1]

[66]	赵宇翔,范哲,朱庆华.用户生成内容(UGC)概念解析及研究进展[J].中国图书馆学报,2012,38(5):68-81. 本文引用 [1]

[67]	GE Y D, QIU J N, LIU Z Y, et al. Beyond negative and positive: exploring the effects of emotions in social media during the stock market crash[J]. Information processing & management, 2020, 57(4):102218. 本文引用 [1]

[68]	LI L F, WANG Z Q, ZHANG Q P, et al. Effect of anger, anxiety, and sadness on the propagation scale of social media posts after natural disasters[J]. Information processing & management, 2020, 57(6):102313. 本文引用 [1]

[69]	LIU Y H, JIN X L, SHEN H W. Towards early identification of online rumors based on long short-term memory networks[J]. Information processing & management, 2019, 56(4):1457-1467. 本文引用 [1]

[70]	ALKHODAIR S A, DING S H H, FUNG B C M, et al. Detecting breaking news rumors of emerging topics in social media[J]. Information processing & management, 2020, 57(2):102018. 本文引用 [2]

[71]	WANG J, CLEMENTS M, YANG J, et al. Personalization of tagging systems[J]. Information processing & management, 2010, 46(1):58-70. 本文引用 [1]

[72]	BELEM F M, MARTINS E F, ALMEIDA J M, et al. Personalized and object-centered tag recommendation methods for Web 2.0 applications[J]. Information processing & management, 2014, 50(4):524-553. 本文引用 [1]

[73]	RENJITH S, SREEKUMAR A, JATHAVEDAN M. An extensive study on the evolution of context-aware personalized travel recommender systems[J]. Information processing & management, 2020, 57(1):102078. 本文引用 [1]

[74]	WANG P L, HAWK W B, TENOPIR C. Users' interaction with World Wide Web resources: an exploratory study using a holistic approach[J]. Information processing & management, 2000, 36(2):229-251. 本文引用 [1]

[75]	KUMARAN G, ALLAN J. Adapting information retrieval systems to user queries[J]. Information processing & management, 2008, 44(6):1838-1862. 本文引用 [1]

[76]	LOPATOVSKA I, ARAPAKIS I. Theories, methods and current research on emotions in library and information science, information retrieval and human-computer interaction[J]. Information processing & management, 2011, 47(4):575-592. 本文引用 [1]

[77]	COLE M J, GWIZDKA J, LIU C, et al. Inferring user knowledge level from eye movement patterns[J]. Information processing & management, 2013, 49(5):1075-1091. 本文引用 [1]

[78]	CLARK M, RUTHVEN I, HOLT P O, et al. You have e-mail, what happens next? tracking the eyes for genre[J]. Information processing & management, 2014, 50(1):175-198. 本文引用 [1]

[79]	HILBERINK-SCHULPEN B, NEDERSTIGT U, VAN MEURS F, et al. Does the use of a foreign language influence attention and genre-specific viewing patterns for job advertisements? an eye-tracking study[J]. Information processing & management, 2016, 52(6):1018-1030. 本文引用 [1]

[80]	中华人民共和国国务院.国务院关于印发新一代人工智能发展规划的通知[EB/OL].[2021-10-26].http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm. 本文引用 [1]

[81]	SPINK A, QIN J. Introduction to the special issue on Web-based information retrieval research[J]. Information processing & management, 2000, 36(2):205-206. 本文引用 [1]