Knowledge representation learning with entity descriptions,hierarchical types,and textual relations     

Xing Tang  Ling Chen  Jun Cui  Baogang Wei 《Information processing & management》2019,56(3):809-822

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Neural embedding-based indices for semantic search     

Fatemeh Lashkari  Ebrahim Bagheri  Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755

Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus.  相似文献   

Triggering effects of mobile video marketing in nature tourism: Media richness perspective     

Ari Alamäki  Juho Pesonen  Amir Dirin 《Information processing & management》2019,56(3):756-770

The aim of this study was to investigate videos as potential triggers of behavior. Therefore, we applied the theories of triggers and media richness to learn about the triggering efficiency of mobile marketing videos on participants’ behavioral intentions. The experiment involved three distinct test groups, each comprising 41 student participants. From the perspective of media richness theory, we observed that the different kinds of videos had quite similar effects in terms of triggering behavioral changes. However, the mechanisms explaining why triggers were present differed for each video. Further, the results reveal that the consumer's position in the information search process was the most significant reason for the triggering of any kind of effect. In addition, the instructionally designed videos were able to exert an affective triggering effect: the more participants liked the video, the more it affected their participation intention and recall scores. This study extends the media richness research by demonstrating that the effects of media richness can vary within technically similar videos, as they form different logical connections among non-verbal visual cues related to a video's storyline.  相似文献   

Advanced Arabic Natural Language Processing (ANLP) and its applications: Introduction to the special issue     

Yaser Jararweh  Mahmoud Al-Ayyoub  Elhadj Benkhelifa 《Information processing & management》2019,56(2):259-261

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Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis     

Kai Hu  Qing Luo  Kunlun Qi  Siluo Yang  Jin Mao  Xiaokang Fu  Jie Zheng  Huayi Wu  Ya Guo  Qibing Zhu 《Information processing & management》2019,56(4):1185-1203

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.  相似文献   

Writer identification approach based on bag of words with OBI features     

Amal Durou  Ibrahim Aref  Somaya Al-Maadeed  Ahmed Bouridane  Elhadj Benkhelifa 《Information processing & management》2019,56(2):354-366

Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown handwritten sample. An identification algorithm aims to produce a list of predicted writers of the unknown handwritten sample ranked in terms of confidence measure metrics for use by the forensic expert will make the final decision.Most existing handwriter identification systems use either statistical or model-based approaches. To further improve the performances this paper proposes to deploy a combination of both approaches using Oriented Basic Image features and the concept of graphemes codebook. To reduce the resulting high dimensionality of the feature vector a Kernel Principal Component Analysis has been used. To gauge the effectiveness of the proposed method a performance analysis, using IAM dataset for English handwriting and ICFHR 2012 dataset for Arabic handwriting, has been carried out. The results obtained achieved an accuracy of 96% thus demonstrating its superiority when compared against similar techniques.  相似文献   

In (Big) Data we trust: Value creation in knowledge organizations - Introduction to the special issue     

Andrea De Mauro  Marco Greco  Michele Grimaldi  Paavo Ritala 《Information processing & management》2018,54(5):755-757

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浅论科学研究对医院发展的贡献     

曹天然  聂瑛洁 《教育文化论坛》2020,12(3):112-115

采用文献研究法、定性分析法和定量分析法,对目前国内外部分医院科研现状进行分析,总结医院的科研现状和发展规律,分析医院科研对医院的贡献,为提高医院科研水平提供参考依据。结果表明:医院科研给医院带来的贡献包括科研产出和科研声誉;医院开展科研,在SCI发文量和专利获得量上,给医院带来了巨大的贡献;同时,良好的科研会提高医院在医院排行榜上的位置,提高医院声誉。  相似文献   

《放妻书》与现代离婚声明:塑造“人设”的媒介     

刘若衡  李晓愚 《传媒观察》2020,(5):51-58

《放妻书》是唐代敦煌地区出现的一种特别的离婚协议形式,它所反映的是一种唐代特有的"和离"制度,男女双方以"两愿离"的方式和平离婚。通过对《放妻书》文本的分析,本文阐明了《放妻书》可能的形成条件及其折射的唐代社会风貌。同时,基于对《放妻书》的分析,本文将探讨其与现代离婚声明之间的联系,并进一步提出,无论是《放妻书》还是现代离婚声明,它们都是发布者塑造和维护自身"人设"的媒介工具。  相似文献   

再论公车上书     

易劲鸿 《湖南城市学院学报》2011,32(3)

百年之后,回顾康有为他们当初在清末政坛中的政改方案和上书活动,后人无疑可以做到更冷静、更持中和更客观.鄙薄康梁的人认为:荣禄老成,项城务实.问题是老城谋国的荣禄、精明强干的袁世凯也没有支撑住大局,也没有稳住一个合法性消失的王朝和适应性不够的传统社会.<上清帝第二书>中包括设议院(武英殿)的所有的内容,无论是对洋务派官员、还是对实权派官员,都没有智力、观念上的障碍.在官场中,方案、策略的提出者必须讲究身份和资历,资历不够、派系不对的人提出的方案再高明也很难取得官场主流中人的呼应,更何谈实践.既得利益集团积重难返是清末改良搁浅问题的关键.  相似文献