人工智能时代情报学发展走向之辨——对本体论、感知论、方法论、服务论的再思考     

曹文振  赖纪瑶  王延飞 《情报学报》2020,39(5):557-564

人工智能相关技术的迅猛发展和逐步普及,使得情报学难以避免人工智能的融合趋势,无论这种融合是主动为之或是被动选择。然而学界对人工智能时代情报学学科的发展走向并未予以充分探讨,大部分研究均将焦点置于大数据与下一代互联网环境中进行论述。本研究将人工智能时代情报学学科走向解构为"本体论""感知论""方法论""服务论"四个论题,对每个论题借由理论面向与实践面向的二分法展开阐释,并从整体视角上提出应在人工智能洪流中找准情报学定位,不能忽视"人"在情报学中的价值以及重视跨学科融合、跨领域应用的发展趋势。  相似文献   

欧洲九国共产党情报局机关刊物《争取持久和平,争取人民民主!》与中国关系考述(1949-1956)     

哈战荣 《图书馆杂志》2020,(4):21-26

《争取持久和平,争取人民民主!》是20世纪40年代中后期,欧洲九个社会主义国家的共产党和工人党为了一致行动而建立的情报局机关刊物。该刊物对新中国初期我国经济社会建设及成就进行了大量宣传与报道,对加强我国与世界其他爱好和平、渴求民主的各国人民加强互信、长存友谊贡献很大,也对当前学者研究新中国初期我国经济社会发展的过程、成就和经验等提供了原始史料,学术研究意义也很重大。但是,目前对这份刊物及其发挥过的重大作用了解的人少之又少,时值中国共产党成立100周年之际,对其创刊与发行的历史过程进行回顾、宣传中国社会经济发展的全貌进行展示、推动世界社会主义运动的作用进行肯定,意义都很重大。  相似文献   

图书馆珍贵资料的开放数据化建设——以京都府图书馆藏明治时期以来旅游指南的数字化项目为例     

福岛幸宏  原田隆史  李颖 《图书馆杂志》2020,(4):113-118

近年来,日本有越来越多的图书馆开始尝试将馆藏珍贵文献资源进行数字化并在网上公开服务。但从数字人文学角度而言,这些资源存在着"使用范围与规范不明确""公开的数据格式不统一""数字资源的搜索手段不完善"等种种问题,因而可能无法为读者提供有效的服务。"京都府立图书馆珍贵文献收藏"项目是将京都府立图书馆馆藏珍贵文献进行数字化并在网上公开服务,于2019年3月推出第一期,内容为明治时期到战后期(第二次世界大战结束后联合国军占领时期)面向外国游客、以京都为主的城市观光指南。该项目采用了CC0协议(创作共用协议零权利协议)使用许可、DOI机制(数字对象唯一标识符)、IIIF(国际化图像互操作框架),均为世界标准,开创了日本图书馆领域的先河,今后将向全国推广。此次报告我将介绍本系统研发的过程、系统构建的细节。我们还询问了市民与人文学专家的实际使用感受、系统的使用效果与改善意见,也将一并向各位介绍。  相似文献   

浅谈武术套路训练对青少年身心发展的影响     

庄竣博 《当代体育科技》2020,(11):55-55,57

本文采用文献综述法和逻辑分析方法,通过对武术神、意、气与动作内外相结合,使身心达到愉悦、全面的发展。武术训练对人的力量、灵敏、柔韧等身体素质的发展都有良好影响,强健体魄,缓解压力,保持一个舒畅愉快的心情。武术套路的训练不仅能塑造强健的身体,而且也承载着道德文化修养和精神传承的历史重任,经过研究和调查,很多青少年通过武术套路训练,提高了其自身的身体素质和顽强不屈的精神品格。  相似文献   

中国武术节与中国地域武术的共生及协同发展研究     

李源  闫民  梁勤超 《首都体育学院学报》2020,(2):146-150

运用文献研究法等,从共生理论视角,分析中国武术节与中国地域武术的共生关系及协同发展路径。在当前举办的中国武术节中,存在3个共生单元:武术节、主办方与地域武术,这三者之间形成了3种不同的共生关系。其中:中国武术节与主办方、中国武术节与中国地域武术形成了"间歇共生组织"和"对称互惠共生行为";而中国地域武术与主办方则形成了"间歇共生组织"和"非对称互惠共生行为"。要实现中国武术节与中国地域武术之间的协同发展,需加强中国武术节节庆制度建设;深化中国武术节与中国地域武术的关联;促进中国地域武术的传承与发展。  相似文献   

试论《明人十二像册》高度写真风格的中国渊源     

黄乐乐 《美育学刊》2020,11(2):116-120

现藏于南京博物院的一批无款写真头像《明人十二像册》,是中国写实画的一座高峰。对于这个像册的绘画风格,现当代学者多半都偏向认为是受到西方绘画的影响。但经与西方圣像画比较研究,像册仍属于中国本土的绘画传统,受到了宋代山水画和花鸟画高度写真精神的影响。  相似文献   

An extension of the technology acceptance model in the big data analytics system implementation environment     

Surabhi Verma  Som Sekhar Bhattacharyya  Saurav Kumar 《Information processing & management》2018,54(5):791-806

Research on the adoption of systems for big data analytics has drawn enormous attention in Information Systems research. This study extends big data analytics adoption research by examining the effects of system characteristics on the attitude of managers towards the usage of big data analytics systems. A research model has been proposed in this study based on an extensive review of literature pertaining to the Technology Acceptance Model, with further validation by a survey of 150 big data analytics users. Results of this survey confirm that characteristics of the big data analytics system have significant direct and indirect effects on belief in the benefits of big data analytics systems and perceived usefulness, attitude and adoption. Moreover, there are mediation effects that exist among the system characteristics, benefits of big data analytics systems, perceived usefulness and the attitude towards using big data analytics system. This study expands the existing body of knowledge on the adoption of big data analytics systems, and benefits big data analytics providers and vendors while helping in the formulation of their business models.  相似文献   

Beyond traditional collaborative search: Understanding the effect of awareness on multi-level collaborative information retrieval     

Nyi Nyi Htun  Martin Halvey  Lynne Baillie 《Information processing & management》2018,54(1):60-87

Although there has been a great deal of research into Collaborative Information Retrieval (CIR) and Collaborative Information Seeking (CIS), the majority has assumed that team members have the same level of unrestricted access to underlying information. However, observations from different domains (e.g. healthcare, business, etc.) have suggested that collaboration sometimes involves people with differing levels of access to underlying information. This type of scenario has been referred to as Multi-Level Collaborative Information Retrieval (MLCIR). To the best of our knowledge, no studies have been conducted to investigate the effect of awareness, an existing CIR/CIS concept, on MLCIR. To address this gap in current knowledge, we conducted two separate user studies using a total of 5 different collaborative search interfaces and 3 information access scenarios. A number of Information Retrieval (IR), CIS and CIR evaluation metrics, as well as questionnaires were used to compare the interfaces. Design interviews were also conducted after evaluations to obtain qualitative feedback from participants. Results suggested that query properties such as time spent on query, query popularity and query effectiveness could allow users to obtain information about team's search performance and implicitly suggest better queries without disclosing sensitive data. Besides, having access to a history of intersecting viewed, relevant and bookmarked documents could provide similar positive effect as query properties. Also, it was found that being able to easily identify different team members and their actions is important for users in MLCIR. Based on our findings, we provide important design recommendations to help develop new CIR and MLCIR interfaces.  相似文献   

Information retrieval in the workplace: A comparison of professional search practices     

Tony Russell-Rose  Jon Chamberlain  Leif Azzopardi 《Information processing & management》2018,54(6):1042-1057

Legal researchers, recruitment professionals, healthcare information professionals, and patent analysts all undertake work tasks where search forms a core part of their duties. In these instances, the search task is often complex and time-consuming and requires specialist expertise to identify relevant documents and insights within large domain-specific repositories and collections. Several studies have been made investigating the search practices of professionals such as these, but few have attempted to directly compare their professional practices and so it remains unclear to what extent insights and approaches from one domain can be applied to another. In this paper we describe the results of a survey of a purposive sample of 108 legal researchers, 64 recruitment professionals and 107 healthcare information professionals. Their responses are compared with results from a previous survey of 81 patent analysts. The survey investigated their search practices and preferences, the types of functionality they value, and their requirements for future information retrieval systems. The results reveal that these professions share many fundamental needs and face similar challenges. In particular a continuing preference to formulate queries as Boolean expressions, the need to manage, organise and re-use search strategies and results and an ambivalence toward the use of relevance ranking. The results stress the importance of recall and coverage for the healthcare and patent professionals, while precision and recency were more important to the legal and recruitment professionals. The results also highlight the need to ensure that search systems give confidence to the professional searcher and so trust, explainability and accountability remains a significant challenge when developing such systems. The findings suggest that translational research between the different areas could benefit professionals across domains.  相似文献   

Location extraction from tweets     

Thi Bich Ngoc Hoang  Josiane Mothe 《Information processing & management》2018,54(2):129-144

Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. These events are represented by three main dimensions: time, location and entity-related information. The focus of this paper is location, which is an essential dimension for geo-spatial applications, either when helping rescue operations during a disaster or when used for contextual recommendations. While the first type of application needs high recall, the second is more precision-oriented. This paper studies the recall/precision trade-off, combining different methods to extract locations. In the context of short posts, applying tools that have been developed for natural language is not sufficient given the nature of tweets which are generally too short to be linguistically correct. Also bearing in mind the high number of posts that need to be handled, we hypothesize that predicting whether a post contains a location or not could make the location extractors more focused and thus more effective. We introduce a model to predict whether a tweet contains a location or not and show that location prediction is a useful pre-processing step for location extraction. We define a number of new tweet features and we conduct an intensive evaluation. Our findings are that (1) combining existing location extraction tools is effective for precision-oriented or recall-oriented results, (2) enriching tweet representation is effective for predicting whether a tweet contains a location or not, (3) words appearing in a geography gazetteer and the occurrence of a preposition just before a proper noun are the two most important features for predicting the occurrence of a location in tweets, and (4) the accuracy of location extraction improves when it is possible to predict that there is a location in a tweet.  相似文献