Through a study of the knowledge base of main collaborative virtual reference systems at home and abroad, the paper discusses the status of research and application of the knowledge base from its foundation construction, service and collaborative management. Meanwhile, from the perspective of user demand, the future trends of knowledge base of collaborative virtual reference systems are also addressed.

The paper firstly clarifies the meaning and significant of answer format regulation in knowledge base of collaborative virtual reference system of Shanghai Library, then makes an investigation of relative papers and practical situations home and abroad. It expounds the general thoughts on the answer format of that knowledge base from three levels, including defining format problem, establishing format standards, implementing and optimizing format standards. It also clarifies the existing problems by investigating the answer format situation, then formulates the standard, designs and realizes a toolbar plugin to optimize the answer format of that knowledge base.

Taking huge amounts of QA records as study objects, the paper proposes a question classification method combining theme and categorization to form a basic framework for QA knowledge base. In this framework, knowledge records are divided into frequently used ones and non-frequently used ones, and an automatic question answering system is constructed. Experiments show that the new classification method can balance the distribution of QA knowledge, and help to improve the efficiency of the QA system.

This paper proposes a feature selection method based on complex network. The weighted complex network of text is built to represent the semantic relations between words and text structure. The weighted degree, weighted clustering coefficient and betweenness are considered in the characteristics calculation of network nodes, the key words which can reflect the theme of the text are selected by the synthetic characteristics of network nodes. A Chinese text feature selection algorithm based on complex network is proposed and verified. The results of experiments show that the method proposed in this paper can get a better effect on the performance of text classification.

Based on research papers indexed by Web of Science, EI and CNKI on mobile search, this paper firstly extracts the high-frequency keywords and authors, then analyzes the research focus, sub-fields and the outstanding research teams in China and abroad using the methods of statistical analysis, bibliometrics, social network analysis etc. The further knowledge mapping results shows that studies of mobile search in China and abroad start almost simultaneously. Studies abroad are deeper, contain more sub-fields and more productive research groups, while studies in China still mainly focus on the conceptual introduction, and few research teams is stable and outstanding.

The paper takes upper-level Ontology as the core technology, integrates domain Ontologies by upper-level Ontology unitive control, and annotates information semantically by integration Ontology with tools like Prot間? and GATE for empirical research. It integrates the Nasal Inflammation Disease Ontology and National Essential Drugs Ontology as one Ontology to annotate the Electronic Medical Record information resources, and the semantic annotation library can be saved as XML format. This research provides empirical evidence for semantic annotation schema with integration Ontology using upper-level Ontology unitive control, and the annotated resources can match the Ontology element in semantic retrieval so as to realize the semantic applications like knowledge discovery.

This paper puts forward a model and a conceptual framework of network learning community based on SNS, proposes a dynamic construction method, and implements a secondary development for the open source code “SpaceBuilder”. The same-interest students are dynamically divided into the same community group through mining and analyzing students’ learning data by SSIS and SSAS. It provides a good interactive environment for students’ cooperation study, and also solves the problem of “lonely” students in the process of network learning.

This paper integrates clustering into the exploration and discovery of enterprise competitiveness factors,then proposes a semantic-based comprehensive hierarchical clustering analysis method according to the software enterprise domain Ontology constructed by the research team. This method fuses Ontology and clustering technologies, brings forth new ideas for the clustering analysis method based on domain Ontology,that is Onto-kmeans, and achieves the analysis and acquisition of enterprise competitiveness factors at semantic level. The experimental results indicate that this method can significantly improve the accuracy and efficiency of clustering analysis,effectively mine and obtain global factors influencing the competitiveness of software enterprise, identify and verify the major factors.

This paper integrates classification analysis into the acquisition and optimization of enterprise competitiveness factors, designs an analysis frame of enterprise competitiveness factors based on domain Ontology according to the software enterprise domain Ontology constructed by the research team and proposes a semantic classification method Onto-TC. This method combines domain Ontology and general Ontology to achieve classification analysis at multi-semantic level. This paper analyzes and mines the deep major factors of competitiveness according to the clustering and classification results, implements the construction and optimization of enterprise competitiveness factor indices system.

Several data collection methods such as log analysis, semi-structured interview, questionnaires and data analysis methods such as mathematical statistics, content analysis are adopted in an experiment and its result analysis of users’ collaborative information search on the Coagmento system. The results show that tasks and collaborative abilities do have impacts on users’ collaborative information seeking behaviors. Collaborative abilities have influence on the behavior of “Recommend”, while tasks have influence on the behaviors of “Webpage”, “Search”, and “Image”. The participants with higher collaborative abilities get better retrieval effectiveness than those with lower collaborative abilities in the experiment. Therefore, collaborative information retrieval system is more suitable for users with strong collaborative abilities to collaborate on complex tasks.

This paper designs a framework of network opinion modeling based on governmental public decision, which includes data preparation and network opinion modeling. Guided by the framework, it analyzes the case of completing medical care system, and the successful application validates the effectiveness of the proposed framework.

This paper proposes Xiamen University iOS mobile library APP building strategies, including the selected technical type, user needs researching, function modules setup, UI designing, APP programming, and APP testing. It also describes API development, XML parsing, multi-threaded implementation, and MVC programming mode application.

Open source software Piwik is applied in the Web portal system of library. On the basis of the Piwik, the paper extends the function of collection of real IP, and puts emphasis on the relationship and reliability of the parameters in the system, including the bounce rate, page retention time, conversion, referer and keywords etc.

This paper compares the obtaining,managing,displaying and annotating functions of four reference management softwares on iOS system including Papers,Sente,Mendeley and Bookends. It also analyzes the advantages of reference management software on iOS, and concludes that the tablet can complement the PC’s disadvantages.

Taking the experience in building Chongqing Jiaotong University Library VirtualBox server virtualization system as example, this paper describes the methods to deploy server virtualization system and integrate digital library application based on VirtualBox. The details of design, procedure and performance optimization of VirtualBox server virtualization system are discussed.