Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)
1He, C. ; Wu, J. ; Zhang, Q.: Proximity-aware research leadership recommendation in research collaboration via deep neural networks.
In: Journal of the Association for Information Science and Technology. 73(2022) no.1, S.70-89.
Abstract: Collaborator recommendation is of great significance for facilitating research collaboration. Proximities have been demonstrated to be significant factors and determinants of research collaboration. Research leadership is associated with not only the capability to integrate resources to launch and sustain the research project but also the production and academic impact of the collaboration team. However, existing studies mainly focus on social or cognitive proximity, failing to integrate critical proximities comprehensively. Besides, existing studies focus on recommending relationships among all the coauthors, ignoring leadership in research collaboration. In this article, we propose a proximity-aware research leadership recommendation (PRLR) model to systematically integrate critical node attribute information (critical proximities) and network features to conduct research leadership recommendation by predicting the directed links in the research leadership network. PRLR integrates cognitive, geographical, and institutional proximity as node attribute information and constructs a leadership-aware coauthorship network to preserve the research leadership information. PRLR learns the node attribute information, the local network features, and the global network features with an autoencoder model, a joint probability constraint, and an attribute-aware skip-gram model, respectively. Extensive experiments and ablation studies have been conducted, demonstrating that PRLR significantly outperforms the state-of-the-art collaborator recommendation models in research leadership recommendation.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24546.
2He, C. ; Wu, J. ; Zhang, Q.: Research leadership flow determinants and the role of proximity in research collaborations.
In: Journal of the Association for Information Science and Technology. 71(2020) no.11, S.1341-1356.
Abstract: Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents the first quantitative research on the factors and evolution of 5 proximity dimensions (geographical, cognitive, institutional, social, and economic) of research leadership. The data to capture research leadership consist of a set of multi-institution articles in the fields of "Life Sciences & Biomedicine," "Technology," "Physical Sciences," "Social Sciences," and "Humanities & Arts" during 2013-2017 from the Web of Science Core Citation Database. A Tobit regression-based gravity model indicates that the mass of research leadership of both the leading and participating institutions and the geographical, cognitive, institutional, social, and economic proximities are important factors for the flow of research leadership among Chinese institutions. In general, the effect of these proximities for research leadership flow has been declining recently. The outcome of this research sheds light on the leadership evolution and flow among Chinese institutions, and thus can provide evidence and support for grant allocation policies to facilitate scientific research and collaborations.
3Wu, J. ; Yun, G.: From modernization to neoliberalism? : how IT opinion leaders imagine the information society.
In: International communication gazette. 80(2018) no.1, S.7-29.
Abstract: Before the information society becomes reality, it exits as discourses and arguments. These narratives shape people's expectations, imaginations, and understandings of the concrete form of information society. The article first reviews some recent literature on the social and cultural history of the Internet and information technologies. Then, we will critically examine some prominent discourses on new information technology, especially the Internet, by cultural intermediaries in China. We hope to understand how the different imaginations of information society come into being, their internal diversity, their sources of influence, and how they help imagine a social form in which these technologies shape, belong, and work well
4Zhao, G. ; Wu, J. ; Wang, D. ; Li, T.: Entity disambiguation to Wikipedia using collective ranking.
In: Information processing and management. 52(2016) no.6, S.1247-1257.
Abstract: Entity disambiguation is a fundamental task of semantic Web annotation. Entity Linking (EL) is an essential procedure in entity disambiguation, which aims to link a mention appearing in a plain text to a structured or semi-structured knowledge base, such as Wikipedia. Existing research on EL usually annotates the mentions in a text one by one and treats entities independent to each other. However this might not be true in many application scenarios. For example, if two mentions appear in one text, they are likely to have certain intrinsic relationships. In this paper, we first propose a novel query expansion method for candidate generation utilizing the information of co-occurrences of mentions. We further propose a re-ranking model which can be iteratively adjusted based on the prediction in the previous round. Experiments on real-world data demonstrate the effectiveness of our proposed methods for entity disambiguation.
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S030645731630098X.
5Wu, J.-C.J. ; Liu, H.-P.: Technological innovation assessment of business-to business electronic marketplaces.
In: Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1093-1104.
Abstract: Business opportunities created by the Internet economy and new business methods have triggered the development of the electronic or e-marketplace, and vice versa. To generate competitive new products/services, Internet firms need to have access to detailed technological innovations to compete. Despite the wealth of literature on e-marketplaces, research on patent analyses in e-marketplaces is scarce. The patent is a crucial indicator of the technological competitiveness of a company or a nation. This study provides a preliminary step in depicting a holistic picture of technological innovations associated with e-marketplace patents. This study analyzes patents issued during the period of 1990-2002 from major databases; hence, it provides the first empirical study on e-marketplaces and related innovations holistically. A comprehensive set of statistical patent analyses and a discussion on e-marketplaces' technology by means of a patent map analysis are presented.