-
Li, X.; Fullerton, J.P.: Create, edit, and manage Web database content using active server pages (2002)
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- Abstract
- Libraries have been integrating active server pages (ASP) with Web-based databases for searching and retrieving electronic information for the past five years; however, a literature review reveals that a more complete description of modifying data through the Web interface is needed. At the Texas A&M University Libraries, a Web database of Internet links was developed using ASP, Microsoft Access, and Microsoft Internet Information Server (IIS) to facilitate use of online resources. The implementation of the Internet Links database is described with focus on its data management functions. Also described are other library applications of ASP technology. The project explores a more complete approach to library Web database applications than was found in the current literature and should serve to facilitate reference service.
-
Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.6, S.614-635
-
Zhu, L.; Xu, A.; Deng, S.; Heng, G.; Li, X.: Entity management using Wikidata for cultural heritage information (2024)
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- Abstract
- Entity management in a Linked Open Data (LOD) environment is a process of associating a unique, persistent, and dereferenceable Uniform Resource Identifier (URI) with a single entity. It allows data from various sources to be reused and connected to the Web. It can help improve data quality and enable more efficient workflows. This article describes a semi-automated entity management project conducted by the "Wikidata: WikiProject Chinese Culture and Heritage Group," explores the challenges and opportunities in describing Chinese women poets and historical places in Wikidata, the largest crowdsourcing LOD platform in the world, and discusses lessons learned and future opportunities.
-
Li, J.; Zhang, Z.; Li, X.; Chen, H.: Kernel-based learning for biomedical relation extraction (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.756-769
-
Zhang, Y.; Li, X.; Fan, W.: User adoption of physician's replies in an online health community : an empirical study (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1179-1191
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Su, S.; Li, X.; Cheng, X.; Sun, C.: Location-aware targeted influence maximization in social networks (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.2, S.229-241
-
Wang, P.; Li, X.: Assessing the quality of information on Wikipedia : a deep-learning approach (2020)
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- Journal of the Association for Information Science and Technology. 71(2020) no.1, S.16-28
-
Li, X.: Young people's information practices in library makerspaces (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.6, S.744-758
-
Xu, G.; Cao, Y.; Ren, Y.; Li, X.; Feng, Z.: Network security situation awareness based on semantic ontology and user-defined rules for Internet of Things (2017)
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- Abstract
- Internet of Things (IoT) brings the third development wave of the global information industry which makes users, network and perception devices cooperate more closely. However, if IoT has security problems, it may cause a variety of damage and even threaten human lives and properties. To improve the abilities of monitoring, providing emergency response and predicting the development trend of IoT security, a new paradigm called network security situation awareness (NSSA) is proposed. However, it is limited by its ability to mine and evaluate security situation elements from multi-source heterogeneous network security information. To solve this problem, this paper proposes an IoT network security situation awareness model using situation reasoning method based on semantic ontology and user-defined rules. Ontology technology can provide a unified and formalized description to solve the problem of semantic heterogeneity in the IoT security domain. In this paper, four key sub-domains are proposed to reflect an IoT security situation: context, attack, vulnerability and network flow. Further, user-defined rules can compensate for the limited description ability of ontology, and hence can enhance the reasoning ability of our proposed ontology model. The examples in real IoT scenarios show that the ability of the network security situation awareness that adopts our situation reasoning method is more comprehensive and more powerful reasoning abilities than the traditional NSSA methods. [http://ieeexplore.ieee.org/abstract/document/7999187/]
-
Yang, X.; Li, X.; Hu, D.; Wang, H.J.: Differential impacts of social influence on initial and sustained participation in open source software projects (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.9, S.1133-1147
-
Li, X.: Designing an interactive Web tutorial with cross-browser dynamic HTML (2000)
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- Date
- 28. 1.2006 19:21:22
-
Barjak, F.; Li, X.; Thelwall, M.: Which factors explain the Web impact of scientists' personal homepages? (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.200-211
-
Li, X.: ¬A new robust relevance model in the language model framework (2008)
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- Information processing and management. 44(2008) no.3, S.991-1007
-
Li, X.; Cox, A.; Ford, N.; Creaser, C.; Fry, J.; Willett, P.: Knowledge construction by users : a content analysis framework and a knowledge construction process model for virtual product user communities (2017)
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- Abstract
- Purpose The purpose of this paper is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach The study is based on a deductive and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for computer-supported collaborative learning and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organized around a typical "trial and error" knowledge construction strategy. Practical implications The research makes suggestions about organizations' management of knowledge activities in virtual product user communities, including moderators' roles in facilitation. Originality/value The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.
-
Li, X.; Zhang, A.; Li, C.; Ouyang, J.; Cai, Y.: Exploring coherent topics by topic modeling with term weighting (2018)
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- Source
- Information processing and management. 54(2018) no.6, S.1345-1358
-
Li, X.; Rijke, M.de: Characterizing and predicting downloads in academic search (2019)
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- Information processing and management. 56(2019) no.3, S.394-407
-
Xie, H.; Li, X.; Wang, T.; Lau, R.Y.K.; Wong, T.-L.; Chen, L.; Wang, F.L.; Li, Q.: Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy (2016)
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- Information processing and management. 52(2016) no.1, S.61-72
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Li, X.; Schijvenaars, B.J.A.; Rijke, M.de: Investigating queries and search failures in academic search (2017)
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- Source
- Information processing and management. 53(2017) no.3, S.666-683
