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: 15. Juni 2019)
1Zigron, S. ; Bronstein, J.: "Help is where you find it" : the role of weak ties networks as sources of information and support in virtual health communities.
In: Journal of the Association for Information Science and Technology. 70(2019) no.2, S.130-139.
Abstract: Virtual health communities allow people with health-related concerns to engage in supportive communication with individuals coping with similar problems that would be difficult or impossible to form in the face-to-face world. This study examined the information interactions in an Israeli virtual health community on Facebook dealing with ulcerative colitis and Crohn's disease drawing from the "weak ties" network theory as a theoretical framework. Weak ties are social ties or acquaintances that can function as an important source for diversified experiential information and emotional support, reducing stigma and providing a sense of belonging. The study consisted of 23 semistructured interviews with registered members of the group. Findings of this study parallel the four functions of weak ties by allowing chronically ill patients: access to diverse sources of information including experiential information from others suffering from the same illness; the possibility to disclose personal information reducing fear from stigma or rejection; and a sense of belonging.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24106.
2Pee, L.G. ; Pan, S.L. ; Cui, L.: Artificial intelligence in healthcare robots : a social informatics study of knowledge embodiment.
In: Journal of the Association for Information Science and Technology. 70(2019) no.4, S.351-369.
Abstract: Knowledge embodiment, taking a social informatics perspective, refers to the transformation of knowledge into a form in which its value becomes evident. Knowledge embodiment in robotic systems with artificial intelligence (AI robotic systems) actualizes the value of knowledge much more powerfully than other entities, potentially altering the connections among people or even displacing professionals. To understand the effects of knowledge embodiment in AI robotic systems on connections among people and technology, this study addresses 2 cumulative research questions: (i) What is the nature of knowledge embodiment, that is, how are knowledge and AI robots assembled for knowledge work? (ii) How does knowledge embodiment affect connections among people and technology (that is, social informatics)? A case study of a large hospital that has employed different AI robotic systems in many parts of its healthcare service provision process indicates 4 forms of knowledge embodiment, each with a distinct focus. Further, a social informatics analysis suggests four ways knowledge embodiment affects connections among people and technology and reveals related social and institutional issues that go beyond technological determinism. Implications of these findings for research on social informatics and information science are discussed.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24145.
Anmerkung: Beitrag eines Special issue on social informatics of knowledge
Wissenschaftsfach: Informatik ; Medizin
3McCoy, C. ; Rosenbaum, H.: Uncovering unintended and shadow practices of users of decision support system dashboards in higher education institutions.
In: Journal of the Association for Information Science and Technology. 70(2019) no.4, S.370-384.
Abstract: Higher education institutions' (HEI) have begun to develop decision support system data dashboards (DSS-DD) to improve the data-informed decision making practices of institutional decision makers. This qualitative study examines the practices of decision makers as they engage with DSS-DD at a large U.S. Midwestern university and uncovers the socio-technical characteristics that lead to limited or non-use of dashboards. To examine these practices and characteristics, this study presents a framework grounded in socio-technical interaction networks from social informatics and sociomateriality from information systems that explores the socio-technical practices of users within organizations, while acknowledging the impact of the users' socio-technical contexts on their DSS-DD practices. The results show that during the design and implementation phases of these dashboards the institutional contexts that the dashboards are meant to inform are often ignored; and that as users interact with these systems they develop unintended and shadow practices that lead to limited or non-use of the dashboards for decision making purposes. Additionally, the study finds that users' practices are influenced by their local socio-technical networks, which includes their prior experiences using institutional data, other actors within their institutional unit, and the political and social contexts which shape the users' decision making behavior and data-use practices.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24131.
Anmerkung: Beitrag eines Special issue on social informatics of knowledge
Wissenschaftsfach: Informatik ; Medizin
4Naskar, D. ; Das, S.: HNS ontology using faceted approach.
In: Knowledge organization. 46(2019) no.3, S.187-198.
Abstract: The purpose of this research is to develop an ontology with subsequent testing and evaluation, for identifying utility and value. The domain that has been chosen is human nervous system (HNS) disorders. It is hypothesized here that an ontology-based patient records management system is more effective in meeting and addressing complex information needs of health-care personnel. Therefore, this study has been based on the premise that developing an ontology and using it as a component of the search interface in hospital records management systems will lead to more efficient and effective management of health-care.It is proposed here to develop an ontology of the domain of HNS disorders using a standard vocabulary such as MeSH or SNOMED CT. The principal classes of an ontology include facet analysis for arranging concepts based on their common characteristics to build mutually exclusive classes. We combine faceted theory with description logic, which helps us to better query and retrieve data by implementing an ontological model. Protégé 5.2.0 was used as ontology editor. The use of ontologies for domain modelling will be of acute help to doctors for searching patient records. In this paper we show how the faceted approach helps us to build a flexible model and retrieve better information. We use the medical domain as a case study to show examples and implementation.
5Pluye, P. ; El Sherif, R. ; Granikov, V. ; Hong, Q.N. ; Vedel, I. ; Barbosa Galvao, M.C. ; Frati, F.E.Y. ; Desroches, S. ; Repchinsky, C. ; Rihoux, B. ; Légaré, F. ; Burnand, B. ; Bujold, M. ; Grad, R.: Health outcomes of online consumer health information : a systematic mixed studies review with framework synthesis.
In: Journal of the Association for Information Science and Technology. 70(2019) no.7, S.643-659.
Abstract: The Internet has become the first source of consumer health information. Most theoretical and empirical studies are centered on information needs and seeking, rather than on information outcomes. This review's purpose is to explore and explain health outcomes of Online Consumer Health Information (OCHI) in primary care. A participatory systematic mixed studies review with a framework synthesis was undertaken. Starting from an initial conceptual framework, our specific objectives were to (a) identify types of OCHI outcomes in primary care, (b) identify factors associated with these outcomes, and (c) integrate these factors and outcomes into a comprehensive revised framework combining an information theory and a psychosocial theory of behavior. The results of 65 included studies were synthesized using a qualitative thematic data analysis. The themes derived from the literature underwent a harmonization process that produced a comprehensive typology of OCHI outcomes. The revised conceptual framework specifies four individual and one organizational level of OCHI outcomes, while including factors such as consumers' information needs and four interdependent contextual factors. It contributes to theoretical knowledge about OCHI health outcomes, and informs future research, information assessment methods, and tools to help consumers find and use health information.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24178.
Themenfeld: Informationsdienstleistungen ; Internet
6Lu, T. ; Xu, Y.(C.) ; Wallace, S.: Internet usage and patient's trust in physician during diagnoses : a knowledge power perspective.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.110-120.
Abstract: Does patients' Internet search of disease information affect their trust in physicians during diagnosis? This study proposes a research model from a knowledge power perspective, that is, Internet search affects patients' perception of their knowledge level. Our empirical study of more than 400 subjects suggests that for patients who searched online for disease information, the inconsistency between their self-diagnosis expectations and their physician's diagnosis reduces their trust in their physician. The effect is stronger for those who spent more time on Internet search. Patients with chronic conditions are less affected by the inconsistency, as are patients of physicians with a higher professional status. This study also found that physicians' interaction quality in the diagnosis process-how well they communicate with their patient-still plays a dominant role in gaining patient's trust. This finding suggests that even in the high-tech age, high-touch remains an important factor to physician-patient trust.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23920/full.
7Jones, L.M. ; Wright, K.D. ; Wallace, M.K. ; Veinot, T.: "Take an opportunity whenever you get it" : information sharing among African-American women with hypertension.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.168-171.
Abstract: Nearly half of African-American women have hypertension, which increases their risk for cardiovascular disease and stroke. A plethora of consumer health information products and services exist to inform people with hypertension and to promote self-management among them. Promotion of information sharing by African-American women represents a promising, culturally applicable strategy for consumer health information services focused on hypertension self-management. Yet how African-American women share hypertension information with others is unclear. The purpose of this qualitative, descriptive study was to examine practices of information sharing in African-American women with hypertension. Thirteen women (mean age?=?73, SD?=?9.87) participated in one of 2 focus groups held at an urban community health center. Thematic analysis revealed that the women shared information about how they self-managed their blood pressure i) with female family members and friends, ii) about ways in which they adapted self-management strategies to work for them, iii) mostly in group settings, and iv) because they wanted to prevent others from suffering and reinforce their own knowledge about hypertension self-management. New findings emerged regarding assessing "readiness" for information. Study findings will be used to inform the design of an information-sharing intervention to support self-management of hypertension in African-American women.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23923/full.
8Luo, P. ; Chen, K. ; Wu, C. ; Li, Y.: Exploring the social influence of multichannel access in an online health community.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.98-109.
Abstract: Social influence has a great impact on human behavior, which has been widely investigated in various research fields. Even so, it has rarely been investigated in the online health community. In this paper, we focus on the multichannel access in online health communities, defining social influence as the average degree of multichannel access to a physician's colleagues. Based on the multinomial logistic regression model, we examined the direct effects of social influence and patients' rating to multichannel access. In addition, we explored the moderating effect of social influence on the relationship between patients' rating and multichannel access in online health communities. The results of the experiment and robustness testing support the propositions that social influence and patients' rating significantly and positively affect multichannel access in an online health community. The moderating effect of social influence is negative and significantly influences the accessible channels provided by the focal physician. This research contributes to the literature concerning online health communities, social influence, and multichannel access; it also has practical implications.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23928/full.
9Kim, M. ; Baek, I. ; Song, M.: Topic diffusion analysis of a weighted citation network in biomedical literature.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.329-342.
Abstract: In this study, we propose a framework for detecting topic evolutions in weighted citation networks. Citation networks are important in studying knowledge flows; however, citation network analysis has primarily focused on binary networks in which the individual citation influences of each cited paper in a citing paper are considered identical, even though not all cited papers have a significant influence on the cited publication. Accordingly, it is necessary to build and analyze a citation network comprising scholarly publications that notably impact one another, thus identifying topic evolution in a more precise manner. To measure the strength of citation influence and identify paper topics, we employ a citation influence topic model primarily based on topical inheritance between cited and citing papers. Using scholarly publications in the field of the protein p53 as a case study, we build a citation network, filter it using citation influence values, and examine the diffusion of topics not only in the field but also in the subfields of p53.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23960/full.
10Schmidt, M.: ¬An analysis of the validity of retraction annotation in pubmed and the web of science.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.318-328.
Abstract: Research on scientific misconduct relies increasingly on retractions of articles. An interdisciplinary line of research has been established that empirically assesses the phenomenon of scientific misconduct using information on retractions, and thus aims to shed light on aspects of misconduct that previously were hidden. However, comparability and interpretability of studies are to a certain extent impeded by an absence of standards in corpus delineation and by the fact that the validity of this empirical data basis has never been systematically scrutinized. This article assesses the conceptual and empirical delineation of retractions against related publication types through a comparative analysis of the coverage and consistency of retraction annotation in the databases PubMed and the Web of Science (WoS), which are both commonly used for empicial studies on retractions. The searching and linking approaches of the WoS were subsequently evaluated. The results indicate that a considerable number of PubMed retracted publications and retractions are not labeled as such in the WoS or are indistinguishable from corrections, which is highly relevant for corpus and sample strategies in the WoS.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23913/full.
Objekt: PubMed ; Web of Science
11Liu, Y. ; Shi, J. ; Chen, Y.: Patient-centered and experience-aware mining for effective adverse drug reaction discovery in online health forums.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.215-228.
Abstract: Adverse Drug Reactions (ADRs) have become a serious health problem and even a leading cause of death in the United States. Pre-marketing clinical trials and traditional post-marketing surveillance using voluntary and spontaneous report systems are insufficient for ADR detection. On the other hand, online health forums provide valuable evidences in a large scale and in a timely fashion through the active participation of patients, caregivers, and doctors. In this article, we present patient-centered and experience-aware mining framework for effective ADR discovery using online health forum data. Our experimental evaluation with both an official ADR knowledge base and human-annotated ground truth verifies the effectiveness of the proposed method for ADR discovery.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23929/full.
12Kvasny, L. ; Payton, F.C.: Managing hypervisibility in the HIV prevention information-seeking practices of black female college students.
In: Journal of the Association for Information Science and Technology. 69(2018) no.6, S.798-806.
Abstract: While information resources have contributed to the overall decline in human immunodeficiency virus (HIV) infections in the United States, these benefits have not been experienced equally. Our article describes formative research conducted as part of a larger study focused on the development of an online HIV prevention platform tailored for Black female college students. To inform the design of our platform, we conducted focus groups with 60 Black women enrolled at two predominantly White institutions (PWIs). The purpose of the focus groups was to understand information needs, awareness of specific information resources, and the search strategies employed for finding and evaluating HIV prevention information. We used hypervisibility as a sensitizing lens for making sense of how the intersecting gender and racial identities of Black womanhood shape information-seeking behavior. Four themes emerged: platform choice and privacy, relatability, respectability politics, and silence on campus. The themes depict discursive representations specific to Black female identity to manage stigma, reduce their hypervisibility, and amplify their authentic voices in the broader HIV prevention discourse. Our findings contribute to human information behavior scholarship on marginalized groups.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24001.
13Cao, 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.
14Lu, K. ; Mao, J. ; Li, G.: Toward effective automated weighted subject indexing : a comparison of different approaches in different environments.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.121-133.
Abstract: Subject indexing plays an important role in supporting subject access to information resources. Current subject indexing systems do not make adequate distinctions on the importance of assigned subject descriptors. Assigning numeric weights to subject descriptors to distinguish their importance to the documents can strengthen the role of subject metadata. Automated methods are more cost-effective. This study compares different automated weighting methods in different environments. Two evaluation methods were used to assess the performance. Experiments on three datasets in the biomedical domain suggest the performance of different weighting methods depends on whether it is an abstract or full text environment. Mutual information with bag-of-words representation shows the best average performance in the full text environment, while cosine with bag-of-words representation is the best in an abstract environment. The cosine measure has relatively consistent and robust performance. A direct weighting method, IDF (Inverse Document Frequency), can produce quick and reasonable estimates of the weights. Bag-of-words representation generally outperforms the concept-based representation. Further improvement in performance can be obtained by using the learning-to-rank method to integrate different weighting methods. This study follows up Lu and Mao (Journal of the Association for Information Science and Technology, 66, 1776-1784, 2015), in which an automated weighted subject indexing method was proposed and validated. The findings from this study contribute to more effective weighted subject indexing.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23912/full.
Anmerkung: Vgl. das Erratum in JASIST 69(2018) no.7, S.956.
Themenfeld: Automatisches Indexieren ; Indexierungsstudien
15Ayadi, H. ; Torjmen-Khemakhem, M. ; Daoud, M. ; Xiangji Huang, J. ; Ben Jemaa, M.: MF-Re-Rank : a modality feature-based re-ranking model for medical image retrieval.
In: Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1095-1108.
Abstract: One of the main challenges in medical image retrieval is the increasing volume of image data, which render it difficult for domain experts to find relevant information from large data sets. Effective and efficient medical image retrieval systems are required to better manage medical image information. Text-based image retrieval (TBIR) was very successful in retrieving images with textual descriptions. Several TBIR approaches rely on models based on bag-of-words approaches, in which the image retrieval problem turns into one of standard text-based information retrieval; where the meanings and values of specific medical entities in the text and metadata are ignored in the image representation and retrieval process. However, we believe that TBIR should extract specific medical entities and terms and then exploit these elements to achieve better image retrieval results. Therefore, we propose a novel reranking method based on medical-image-dependent features. These features are manually selected by a medical expert from imaging modalities and medical terminology. First, we represent queries and images using only medical-image-dependent features such as image modality and image scale. Second, we exploit the defined features in a new reranking method for medical image retrieval. Our motivation is the large influence of image modality in medical image retrieval and its impact on image-relevance scores. To evaluate our approach, we performed a series of experiments on the medical ImageCLEF data sets from 2009 to 2013. The BM25 model, a language model, and an image-relevance feedback model are used as baselines to evaluate our approach. The experimental results show that compared to the BM25 model, the proposed model significantly enhances image retrieval performance. We also compared our approach with other state-of-the-art approaches and show that our approach performs comparably to those of the top three runs in the official ImageCLEF competition.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24045.
Behandelte Form: Bilder
16Park, H. ; You, S. ; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields.
In: Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1346-1354.
Abstract: Data citation, where products of research such as data sets, software, and tissue cultures are shared and acknowledged, is becoming more common in the era of Open Science. Currently, the practice of formal data citation-where data references are included alongside bibliographic references in the reference section of a publication-is uncommon. We examine the prevalence of data citation, documenting data sharing and reuse, in a sample of full text articles from the biological/biomedical sciences, the fields with the most public data sets available documented by the Data Citation Index (DCI). We develop a method that combines automated text extraction with human assessment for revealing candidate occurrences of data sharing and reuse by using terms that are most likely to indicate their occurrence. The analysis reveals that informal data citation in the main text of articles is far more common than formal data citations in the references of articles. As a result, data sharers do not receive documented credit for their data contributions in a similar way as authors do for their research articles because informal data citations are not recorded in sources such as the DCI. Ongoing challenges for the study of data citation are also outlined.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24049.
17Song, M. ; Kang, K. ; An, J.Y.: Investigating drug-disease interactions in drug-symptom-disease triples via citation relations.
In: Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1355-1368.
Abstract: With the growth in biomedical literature, the necessity of extracting useful information from the literature has increased. One approach to extracting biomedical knowledge involves using citation relations to discover entity relations. The assumption is that citation relations between any two articles connect knowledge entities across the articles, enabling the detection of implicit relationships among biomedical entities. The goal of this article is to examine the characteristics of biomedical entities connected via intermediate entities using citation relations aided by text mining. Based on the importance of symptoms as biomedical entities, we created triples connected via citation relations to identify drug-disease pairs with shared symptoms as intermediate entities. Drug-disease interactions built via citation relations were compared with co-occurrence-based interactions. Several types of analyses were adopted to examine the properties of the extracted entity pairs by comparing them with drug-disease interaction databases. We attempted to identify the characteristics of drug-disease pairs through citation relations in association with biomedical entities. The results showed that the citation relation-based approach resulted in diverse types of biomedical entities and preserved topical consistency. In addition, drug-disease pairs identified only via citation relations are interesting for clinical trials when they are examined using BITOLA.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24060.
18Bandaragoda, T.R. ; Silva, D. De ; Alahakoon, D. ; Ranasinghe, W. ; Bolton, D.: Text mining for personalized knowledge extraction from online support groups.
In: Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1446-1459.
Abstract: The traditional approach to health care is being revolutionized by the rapid adoption of patient-centered healthcare models. The successful transformation of patients from passive recipients to active participants is largely attributed to increased access to healthcare information. Online support groups present a platform to seek and exchange information in an inclusive environment. As the volume of text on online support groups continues to grow exponentially, it is imperative to improve the quality of retrieved information in terms of relevance, reliability, and usefulness. We present a text-mining approach that generates a knowledge extraction layer to address this void in personalized information retrieval from online support groups. The knowledge extraction layer encapsulates an ensemble of text-mining techniques with a domain ontology to interpose an investigable and extensible structure on hitherto unstructured text. This structure is not limited to personalized information retrieval for patients, as it also imparts aggregates for crowdsourcing analytics by healthcare researchers. The proposed approach was successfully trialed on an active online support group consisting of 800,000 posts by 72,066 participants. Demonstrations for both patient and researcher use cases accentuate the value of the proposed approach to unlock a broad spectrum of personalized and aggregate knowledge concealed within crowdsourced content.
19Wang, Y. ; Tai, Y. ; Yang, Y.: Determination of semantic types of tags in social tagging systems.
In: Knowledge organization. 45(2018) no.8, S.653-666.
Abstract: The purpose of this paper is to determine semantic types for tags in social tagging systems. In social tagging systems, the determination of the semantic type of tags plays an important role in tag classification, increasing the semantic information of tags and establishing mapping relations between tagged resources and a normed ontology. The research reported in this paper constructs the semantic type library that is needed based on the Unified Medical Language System (UMLS) and FrameNet and determines the semantic type of selected tags that have been pretreated via direct matching using the Semantic Navigator tool, the Semantic Type Word Sense Disambiguation (STWSD) tools in UMLS, and artificial matching. And finally, we verify the feasibility of the determination of semantic type for tags by empirical analysis.
Themenfeld: Social tagging ; Wissensrepräsentation
Objekt: UMLS ; FrameNet
20Silva Ribeiro, C.J. ; Silva, D.R. da: Knowledge organization in the health field : an ontology project to improve the information retrieval process.
In: Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira. Baden-Baden : Ergon Verlag, 2018. S.330-338.
(Advances in knowledge organization; vol.16)