Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
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1Jones, L.M. ; Wright, K.D. ; Jack, A.I. ; Friedman, J.P. ; Fresco, D.M. ; Veinot, T. ; Lu, W. ; Moore, S.M.: ¬The relationships between health information behavior and neural processing in african americans with prehypertension : color or text.
In: Journal of the Association for Information Science and Technology. 70(2019) no.9, S.968-980.
Abstract: Information behavior may enhance hypertension self-management in African Americans. The goal of this substudy was to examine the relationships between measures of self-reported health information behavior and neural measures of health information processing in a sample of 19 prehypertensive African Americans (mean age = 52.5, 52.6% women). We measured (a) health information seeking, sharing, and use (surveys) and (b) neural activity using functional magnetic resonance imaging (fMRI) to assess response to health information videos. We hypothesized that differential activation (comparison of analytic vs. empathic brain activity when watching a specific type of video) would indicate better function in three, distinct cognitive domains: (a) Analytic Network, (b) Default Mode Network (DMN), and (c) ventromedial prefrontal cortex (vmPFC). Scores on the information sharing measure (but not seeking or use) were positively associated with differential activation in the vmPFC (rs = .53, p = .02) and the DMN (rs = .43, p = .06). Our findings correspond with previous work indicating that activation of the DMN and vmPFC is associated with sharing information to persuade others and with behavior change. Although health information is commonly conveyed as detached and analytic in nature, our findings suggest that neural processing of socially and emotionally salient health information is more closely associated with health information sharing.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24098.
Anmerkung: Beitrag in einem 'Special issue on neuro-information science'.
2Huang, Y. ; Bu, Y. ; Ding, Y. ; Lu, W.: From zero to one : a perspective on citing.
In: Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1098-1107.
Abstract: This article investigates the lengths of time that publications with different numbers of citations take to receive their first citation (the beginning stage), and then compares the lengths of time to receive two or more citations after receiving the first citation (the accumulative stage) in the field of computer science. We find that in the beginning stage, that is, from zero to one citation, high-, medium-, and low-cited publications do not obviously exhibit different lengths of time. However, in the accumulative stage, that is, from one to N citations, highly cited publications begin to receive citations much more rapidly than medium- and low-cited publications. Moreover, as N increases, the difference in receiving new citations among high-, medium-, and low-cited publications increases quite significantly.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24177.
3Lu, W. ; Li, X. ; Liu, Z. ; Cheng, Q.: How do author-selected keywords function semantically in scientific manuscripts?.
In: Knowledge organization. 46(2019) no.6, S.403-418.
Abstract: Author-selected keywords have been widely utilized for indexing, information retrieval, bibliometrics and knowledge organization in previous studies. However, few studies exist con-cerning how author-selected keywords function semantically in scientific manuscripts. In this paper, we investigated this problem from the perspective of term function (TF) by devising indica-tors of the diversity and symmetry of keyword term functions in papers, as well as the intensity of individual term functions in papers. The data obtained from the whole Journal of Informetrics(JOI) were manually processed by an annotation scheme of key-word term functions, including "research topic," "research method," "research object," "research area," "data" and "others," based on empirical work in content analysis. The results show, quantitatively, that the diversity of keyword term function de-creases, and the irregularity increases with the number of author-selected keywords in a paper. Moreover, the distribution of the intensity of individual keyword term function indicated that no significant difference exists between the ranking of the five term functions with the increase of the number of author-selected keywords (i.e., "research topic" > "research method" > "research object" > "research area" > "data"). The findings indicate that precise keyword related research must take into account the dis-tinct types of author-selected keywords.
4Lu, W. ; Ding, H. ; Jiang, J.: ¬A document expansion framework for tag-based image retrieval.
In: Aslib journal of information management. 70(2018) no.1, S.47-65.
Abstract: Purpose The purpose of this paper is to utilize document expansion techniques for improving image representation and retrieval. This paper proposes a concise framework for tag-based image retrieval (TBIR). Design/methodology/approach The proposed approach includes three core components: a strategy of selecting expansion (similar) images from the whole corpus (e.g. cluster-based or nearest neighbor-based); a technique for assessing image similarity, which is adopted for selecting expansion images (text, image, or mixed); and a model for matching the expanded image representation with the search query (merging or separate). Findings The results show that applying the proposed method yields significant improvements in effectiveness, and the method obtains better performance on the top of the rank and makes a great improvement on some topics with zero score in baseline. Moreover, nearest neighbor-based expansion strategy outperforms the cluster-based expansion strategy, and using image features for selecting expansion images is better than using text features in most cases, and the separate method for calculating the augmented probability P(q|RD) is able to erase the negative influences of error images in RD. Research limitations/implications Despite these methods only outperform on the top of the rank instead of the entire rank list, TBIR on mobile platforms still can benefit from this approach. Originality/value Unlike former studies addressing the sparsity, vocabulary mismatch, and tag relatedness in TBIR individually, the approach proposed by this paper addresses all these issues with a single document expansion framework. It is a comprehensive investigation of document expansion techniques in TBIR.
Inhalt: Vgl.: https://doi.org/10.1108/AJIM-05-2017-0133.
Behandelte Form: Bilder
5Lu, W. ; MacFarlane, A. ; Venuti, F.: Okapi-based XML indexing.
In: Aslib proceedings. 61(2009) no.5, S.483-499.
Abstract: Purpose - Being an important data exchange and information storage standard, XML has generated a great deal of interest and particular attention has been paid to the issue of XML indexing. Clear use cases for structured search in XML have been established. However, most of the research in the area is either based on relational database systems or specialized semi-structured data management systems. This paper aims to propose a method for XML indexing based on the information retrieval (IR) system Okapi. Design/methodology/approach - First, the paper reviews the structure of inverted files and gives an overview of the issues of why this indexing mechanism cannot properly support XML retrieval, using the underlying data structures of Okapi as an example. Then the paper explores a revised method implemented on Okapi using path indexing structures. The paper evaluates these index structures through the metrics of indexing run time, path search run time and space costs using the INEX and Reuters RVC1 collections. Findings - Initial results on the INEX collections show that there is a substantial overhead in space costs for the method, but this increase does not affect run time adversely. Indexing results on differing sized Reuters RVC1 sub-collections show that the increase in space costs with increasing the size of a collection is significant, but in terms of run time the increase is linear. Path search results show sub-millisecond run times, demonstrating minimal overhead for XML search. Practical implications - Overall, the results show the method implemented to support XML search in a traditional IR system such as Okapi is viable. Originality/value - The paper provides useful information on a method for XML indexing based on the IR system Okapi.
Objekt: Okapi ; XML
6Wang, J.-H. ; Teng, J.-W. ; Lu, W.-H. ; Chien, L.-F.: Exploiting the Web as the multilingual corpus for unknown query translation.
In: Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.660-670.
Abstract: Users' cross-lingual queries to a digital library system might be short and the query terms may not be included in a common translation dictionary (unknown terms). In this article, the authors investigate the feasibility of exploiting the Web as the multilingual corpus source to translate unknown query terms for cross-language information retrieval in digital libraries. They propose a Webbased term translation approach to determine effective translations for unknown query terms by mining bilingual search-result pages obtained from a real Web search engine. This approach can enhance the construction of a domain-specific bilingual lexicon and bring multilingual support to a digital library that only has monolingual document collections. Very promising results have been obtained in generating effective translation equivalents for many unknown terms, including proper nouns, technical terms, and Web query terms, and in assisting bilingual lexicon construction for a real digital library system.
Anmerkung: Beitrag einer special topic section on multilingual information systems
Themenfeld: Multilinguale Probleme
7Cheng, P.J. ; Teng, J.W. ; Chen, R.C. ; Wang, J.H. ; Lu, W.H. ; Chien, L.F.: Translating unknown queries with Web corpora for cross-language information languages.
In: SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a. New York, NY : ACM Press, 2004. S.146-153.
Themenfeld: Multilinguale Probleme