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    Research on Information Retrieval Service Towards Linked Data
    Huang Yongwen, Qian Li
    2012, (12): 2-8.  DOI: 10.11925/infotech.1003-3513.2012.12.02
    This paper introduces recent activities about linked data in the field of library, and brings forward that linked data can be applied to many aspects of information retrieval services, such as improving user’s associated word retrieval services, improving the library OPAC retrieval services, enriching the content type of results, sorting the results, building personnel networks, and then analyzes five related technologies about realizing information retrieval service based on linked data from the HTTP URI access technology, the dynamic query technology, discovery technology of link relationship,integration technology, indexing techniques and display technology.
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    A Summary on Annotation Service
    Yu Qianqian, Li Chunwang
    2012, (12): 9-14.  DOI: 10.11925/infotech.1003-3513.2012.12.03
    The annotation service technologies of Web resources such as text, image, video and so on based on linked data are analyzed and summarized, including annotation entity recognition technology, linked data discovery technology, annotation combination and presentation technology and so on, then challenges of annotation service are proposed.
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    Study on the Reference Service with Linked Model
    Liu Yuanyuan, Li Chunwang
    2012, (12): 15-20.  DOI: 10.11925/infotech.1003-3513.2012.12.04
    Based on the introduction of the reference service and main entities related to scholarly information, this article discusses the structure of the linked model and puts forward a modeling proposal. According to the characteristics of the linked model, it analyzes search technologies of linked data, and the building of relevance reference services.
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    Study on Context-aware Service Mashup Implementation
    Ji Shanshan, Li Chunwang
    2012, (12): 21-26.  DOI: 10.11925/infotech.1003-3513.2012.12.05
    This paper presents the approach to implement context-aware mashup. Based on the current related researches, the authors put forward the main function modules to achieve context-aware mashup, such as context information acquisition, context modeling, context-aware service discovery, service composition, and so on. Taking the technology of context modeling and context-aware service discovery as the key problem, this paper proposes a context model CA-PLE, then utilizes context inference and semantic matching to discover the services most in need.
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    Study on Mashup Workflow Engine
    Li Chunwang, Fei Dayu, Zhou Qiang
    2012, (12): 27-31.  DOI: 10.11925/infotech.1003-3513.2012.12.06
    This paper discusses methods of the mashup engine based on workflow technologies, mainly analyzes the module of the JSON Process Definition Language, the architecture and key technologies of the mashup workflow engine based on client, and develops a tool: iMashup. The solution from this paper can be used in mashup applications.
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    Chinese Phrase Tagging and Automated Annotation Based on CSSCI Corpus
    Xie Jing, Su Xinning, Shen Si
    2012, (12): 32-38.  DOI: 10.11925/infotech.1003-3513.2012.12.07
    The paper introduces a new syntax method as the solution of term phrase identification on CSSCI corpus, and obtains the inter-relationship among terms in academic literature from the linguistic aspect based on phrase components, such as words, part-of-speech, grammar functions, etc. These linguistic features are mixed with phrase features which are extracted from Tsinghua Treebank so as to leverage the accuracy of phrase auto-identification in academic corpus.
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    An Application of Sharpen Gaussian Template in a Text Feature Weight Adjustment Methodology
    Lu Yonghe, He Xinyu
    2012, (12): 39-44.  DOI: 10.11925/infotech.1003-3513.2012.12.08
    This paper introduces Gaussian Template and Sharpen Gaussian Template in computer image processing technology and summarizes main ideas of text feature weight adjustment,then proposes a text feature weight adjustment methodology based on Sharpen Gaussian Template. With corpus of Sogou Lab Data, KNN classifier and Class-center classifier, this methodology is experimented by Macro-averaging F-measures. The experimental result shows that the KNN classifier with this methodology performs better than the traditional method. However,Class-center classifier with this methodology has no significant improvement.
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    The Analysis on Functional Mechanism of TheBrain
    Kou Jihong, Dai Yishu, Liu Fang, Wu Jun, Xu Chenghuan, Cao Qian
    2012, (12): 45-51.  DOI: 10.11925/infotech.1003-3513.2012.12.09
    TheBrain is a kind of mind mapping software which is able to organize thought and knowledge information dynamically and represents the information visually. This paper analyzes some functional mechanism of TheBrain on the basis of expounding its construction principle, works structure, features and knowledge model, such as the organization and retrieval of knowledge and information,importing and exporting of mind mappings, Web publishing and sharing, creating cooperation etc. It also analyzes its applications in project management and constructs a mapping works based on TheBrain’s blog articles in order to provide a reference to achieve innovation for the researchers.
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    Analysis of Commodity Parameters Browsing Preference in Consumer’s Online Shopping Decision-making——Taking Digital Camera for Example
    Xu Yingnan
    2012, (12): 52-57.  DOI: 10.11925/infotech.1003-3513.2012.12.10
    In order to provide better online shopping services, this article firstly analyzes consumer’s online decision-making process.Secondly it analyzes consumer’s behavior of commodity parameters browsing preference and influence factors.Then taking digital camera for example, the author designs and organizes the experiment of consumer’s browsing preference of digital camera parameters. Experimental results show that consumers of different genders and knowledge background have different preferences of commodity parameters.Finally, based on experimental results, it provides suggestions for content design of future knowledge recommendation services.
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    Review on the LDA-based Techniques Detection for the Field Emerging Topic
    Fan Yunman, Ma Jianxia
    2012, (12): 58-65.  DOI: 10.11925/infotech.1003-3513.2012.12.11
    Based on LDA,this paper reviews the development of the LDA model and several models which improve the LDA for the filed emerging topic detection.It describes two parameter inference algorithms of variational derivation and Gibbs sampling, and reviews the improvement of LDA in recent years,including the one modeling the evolution of the topics,the one modeling jointly with the content of document and meta data,the one with online learning, the topic evolution method combining LDA and citation analysis and so on;then compares and analyses different kinds of improvement models in details. The paper also reviews several main visualization techniques such as NIH-VB,TIARA and VxInsight. Finally,it discusses the key research problems of detecting the emerging topic by using LDA.
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    Design and Establishment of Legal Status Distributed Collection System Based on Patent Analysis
    Wu Hong, Wang Fengying, Fu Xiuying
    2012, (12): 66-71.  DOI: 10.11925/infotech.1003-3513.2012.12.12
    Aiming at the contradictions that patent analysis has enormous demands for legal status, while legal status is acquired singly, the paper designs and realizes a legal status information collection system. The system adopts the distributed framework, which conducts searches by multiple machines, and overcomes the unbalanced process distribution by consistent hashing algorithms as well as visual client nodes. Besides, using identification of Web pages technology, it is able to acquire patent information that includes legal status in a batch, economic, quickly process. It also presents a solution to the information acquiring bottleneck problem in today’s patent status analysis. The application example shows that combining patent analysis with legal status makes the analysis results more comprehensive, objective, multiple and specific.
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    Research on Ontology-based Personalized Recommendation Method for Library Resources
    Wang Yingzi
    2012, (12): 72-78.  DOI: 10.11925/infotech.1003-3513.2012.12.13
    The huge increase of library resources makes users’ cost of accessing valuable knowledge becoming much higher. For this problem, the paper proposes a hybrid recommendation method for library resources, which adopts semantic technologies to describe library resources and borrowers, establishes the association between user preferences and library resource features. Through query modification, rule-based and case-based inference, the method realizes personalized recommendation. Meanwhile, some auxiliary recommendation approaches are integrated. The recommendation process can be analyzed and optimized according to users’ feedback. Additionally, this method reduces the “new user” and “new item” problems in traditional collaborative filtering method to a certain extent. Experimental results show that the proposed method can enhance the hit rate.
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    Research of a Collaborative Filtering Algorithm Based on Harmony Search
    Wang Huaqiu
    2012, (12): 79-84.  DOI: 10.11925/infotech.1003-3513.2012.12.14
    The traditional similarity algorithm of collaborative filteringis modified in this paper. In order to find an optimal similarity function, the paper presents harmony search algorithm with parameters optimization to find the optimal weights vector of similarity function. To improve the speed of recommendation, harmony search algorithm is no longer used for the calculation of the recommendation after finding the optimal similarity function. The validation experiments show that the proposed algorithm improves prediction accuracy and coverage so as to provide better recommendation. And the proposed algorithm can more quickly obtain the nearest neighbor users of the target user, which can accelerate the recommended speed.
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    Research and Application of Lightweight Mobile Library Search Management Platform——Take iOS for Instance
    Song Kai
    2012, (12): 85-90.  DOI: 10.11925/infotech.1003-3513.2012.12.15
    This paper researches the mobile library management platform in functionality, requirement, and other aspects, then designs the books management client for Apple iOS system, to ensure the independent readers manage the mobile digital library, and also designs a lightweight library Web system, that readers can search the library information resources effectively, to improve the retrieval efficiency of the readers.
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