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: 04. Juni 2021)
1Cao, X. ; Wang, D.: ¬The role of online communities in reducing urban-rural health disparities in China.
In: Journal of the Association for Information Science and Technology. 69(2018) no.7, S.890-899.
Abstract: The explosive growth of social networks has the potential for online health communities to create social value for users. This study integrates online community with urban-rural health inequality in China to empirically explore whether online communities reduce health disparities between urban and rural areas in China. By collecting a unique data set from an online community in China that focuses on one disease, an exponential random graph model was used to empirically analyze the network structures and relationships formed in this community. The results indicate that technology-mediated online health communities can alleviate health disparities in China by exchanging information and improving the health capabilities of rural residents. We discuss the implications and guidelines for future research.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24013.
2He, Z. ; Lei, Z. ; Wang, D.: Modeling citation dynamics of "atypical" articles.
In: Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1148-1160.
Abstract: Modeling and predicting citation dynamics of individual articles is important due to its critical role in a wide range of decisions in science. While the current modeling framework successfully captures citation dynamics of typical articles, there exists a nonnegligible, and perhaps most interesting, fraction of atypical articles whose citation trajectories do not follow the normal rise-and-fall pattern. Here we systematically study and classify citation patterns of atypical articles, finding that they can be characterized by awakened articles, second-acts, and a combination of both. We propose a second-act model that can accurately describe the citation dynamics of second-act articles. The model not only provides a mechanistic framework to understand citation patterns of atypical articles, separating factors that drive impact, but it also offers new capabilities to identify the time of exogenous events that influence citations.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24041.
3Chen, J. ; Wang, D. ; Xie, I. ; Lu, Q.: Image annotation tactics : transitions, strategies and efficiency.
In: Information processing and management. 54(2018) no.6, S.985-1001.
Abstract: Human interpretation of images during image annotation is complicated, but most existing interactive image annotation systems are generally operated based on social tagging, while ignoring that tags are insufficient to convey image semantics. Hence, it is critical to study the nature of image annotation behaviors and process. This study investigated annotation tactics, transitions, strategies and their efficiency during the image annotation process. A total of 90 participants were recruited to annotate nine pictures in three emotional dimensions with three interactive annotation methods. Data collected from annotation logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that the cognitive process of human interpretation of images is rather complex, which reveals a probable bias in research involving image relevance feedback. Participants preferred applying scroll bar (Scr) and image comparison (Cim) tactics comparing with rating tactic (Val), and they did fewer fine tuning activities, which reflects the influence of perceptual level and users' cognitive load during image annotation. Annotation tactic transition analysis showed that Cim was more likely to be adopted at the beginning of each phase, and the most remarkable transition was from Cim to Scr. By applying sequence analysis, the authors found 10 most commonly used sequences representing four types of annotation strategies, including Single tactic strategy, Tactic combination strategy, Fix mode strategy and Shift mode strategy. Furthermore, two patterns, "quarter decreasing" and "transition cost," were identified based on time data, and both multiple tactics (e.g., the combination of Cim and Scr) and fine tuning activities were recognized as efficient tactic applications. Annotation patterns found in this study suggest more research needs to be done considering the need for multi-interactive methods and their influence. The findings of this study generated detailed and useful guidance for the interactive design in image annotation systems, including recommending efficient tactic applications in different phases, highlighting the most frequently applied tactics and transitions, and avoiding unnecessary transitions.
Inhalt: Vgl.: https://doi.org/10.1016/j.ipm.2018.06.009.
Behandelte Form: Bilder
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.
5Wang, W. ; Hwang, D.: Abstraction Assistant : an automatic text abstraction system.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1790-1799.
Abstract: In the interest of standardization and quality assurance, it is desirable for authors and staff of access services to follow the American National Standards Institute (ANSI) guidelines in preparing abstracts. Using the statistical approach an extraction system (the Abstraction Assistant) was developed to generate informative abstracts to meet the ANSI guidelines for structural content elements. The system performance is evaluated by comparing the system-generated abstracts with the author's original abstracts and the manually enhanced system abstracts on three criteria: balance (satisfaction of the ANSI standards), fluency (text coherence), and understandability (clarity). The results suggest that it is possible to use the system output directly without manual modification, but there are issues that need to be addressed in further studies to make the system a better tool.
Themenfeld: Automatisches Abstracting
6Xu, Y. ; Wang, D.: Order effect in relevance judgment : mediation and causality.
In: Journal of the American Society for Information Science and Technology. 59(2008) no.8, S.1264-1275.
Abstract: The order effect of relevance judgment refers to the different relevance perceptions of a document when it appears in different positions in a list. Although the order effect of relevance judgment has significant theoretical and practical implications, the extant literature is inconclusive regarding its existence and forming mechanisms. This study proposes a set of order effect forming mechanisms, including the learning effect, the subneed scheduling effect, and the cursoriness effect based on the conceptualization of dynamic relevance and the psychology of cognitive elaboration. Our empirical study indicates that in an interactive information retrieval setting, when a document list is reasonably long, order effects demonstrate a curvilinear pattern that conforms to the combined effect of the three mechanisms. Moreover, the curvilinear pattern of order effect could differ for documents of different relevance levels.
7Qin, T. ; Zhang, X.-D. ; Tsai, M.-F. ; Wang, D.-S. ; Liu, T.-Y. ; Li, H.: Query-level loss functions for information retrieval.
In: Information processing and management. 44(2008) no.2, S.838-855.
Abstract: Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since originally the methods were not developed for this task, their loss functions do not directly link to the criteria used in the evaluation of ranking. Specifically, the loss functions are defined on the level of documents or document pairs, in contrast to the fact that the evaluation criteria are defined on the level of queries. Therefore, minimizing the loss functions does not necessarily imply enhancing ranking performances. To solve this problem, we propose using query-level loss functions in learning of ranking functions. We discuss the basic properties that a query-level loss function should have and propose a query-level loss function based on the cosine similarity between a ranking list and the corresponding ground truth. We further design a coordinate descent algorithm, referred to as RankCosine, which utilizes the proposed loss function to create a generalized additive ranking model. We also discuss whether the loss functions of existing ranking algorithms can be extended to query-level. Experimental results on the datasets of TREC web track, OHSUMED, and a commercial web search engine show that with the use of the proposed query-level loss function we can significantly improve ranking accuracies. Furthermore, we found that it is difficult to extend the document-level loss functions to query-level loss functions.
8Wang, D.: Cataloger appraises keyword searching in WorldCat.
In: OCLC newsletter. 1997, no.227, May/June, S.36.
Abstract: Describes the benefits of using keyword searching rather than the conventional search methods (derived, numeric and title phrase searching) in the OCLC cataloging service