Search (9 results, page 1 of 1)

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Source

Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

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Abstract

Der Fachinformationsdienst (FID) Pharmazie verfolgt das Ziel, die Informationsinfrastruktur und die Literaturversorgung für die pharmazeutische Hochschulforschung nachhaltig zu verbessern. Das Projekt wird seit dem 1. Januar 2015 von der Deutschen Forschungsgemeinschaft gefördert. Eine Besonderheit stellt die Kooperation zwischen der Universitätsbibliothek Braunschweig und dem Institut für Informationssysteme (IfIS) der TU Braunschweig dar, wodurch aktuelle Forschung auf dem Gebiet der Informatik in die Implementierung innovativer FID-Dienste mündet. Im Zentrum des Projektes steht der nutzerzentrierte Aufbau einer erweiterbaren und personalisierbaren Informationsinfrastruktur. Das vom FID entwickelte Discovery System "PubPharm" zur pharmaziespezifischen Recherche basiert, als Weiterentwicklung des beluga-Systems der SUB Hamburg, auf der Open Source Software VuFind. Als Datengrundlage enthält es u.a. die Medline Daten, erweitert durch Normdaten, die unter anderem die Suche nach chemischen Strukturen erlauben. Gleichzeitig werden vom Institut für Informationssysteme innovative Suchmöglichkeiten basierend auf Narrativer Intelligenz untersucht und perspektivisch in das Retrieval des Discovery Systems eingebunden. Im Rahmen von sog. FID-Lizenzen bietet der FID Pharmazie Wissenschaftlern/innen Volltextzugriff auf pharmazeutische Fachzeitschriften. Bestandteil der Lizenzen ist das Recht zur Langzeitarchivierung. Bei deren technischer Umsetzung kooperiert der FID mit der TIB Hannover. Der FID Pharmazie koppelt seine Aktivitäten eng an die pharmazeutische Fachcommunity: unter anderem begleitet ein Fachbeirat die Entwicklungen. Im Rahmen der Öffentlichkeitsarbeit werden Nutzer/innen umfassend über die Angebote informiert, u.a. in Webcasts und im PubPharm Blog.

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Source

Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

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Date

21. 4.2016 11:23:22

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Abstract

We investigated a topic-based navigation guidance system in the World Health Organization portal, compared the link connection network and the semantic connection network derived from the guidance system, analyzed the characteristics of the 2 networks from the perspective of the node centrality (in_closeness, out_closeness, betweenness, in_degree, and out_degree), and provided the suggestions to optimize and enhance the topic-based navigation guidance system. A mixed research method that combines the social network analysis method, clustering analysis method, and inferential analysis methods was used. The clustering analysis results of the link connection network were quite different from those of the semantic connection network. There were significant differences between the link connection network and the semantic network in terms of density and centrality. Inferential analysis results show that there were no strong correlations between the centrality of a node and its topic information characteristics. Suggestions for enhancing the navigation guidance system are discussed in detail. Future research directions, such as application of the same research method presented in this study to other similar public health portals, are also included.

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Abstract

The explosive growth of literature and data in the life sciences challenges researchers to keep track of current advancements in their disciplines. Novel approaches in the life science like the One Health paradigm require integrated methodologies in order to link and connect heterogeneous information from databases and literature resources. Current publications in the life sciences are increasingly characterized by the employment of trans-disciplinary methodologies comprising molecular and cell biology, genetics, genomic, epigenomic, transcriptional and proteomic high throughput technologies with data from humans, plants, and animals. The literature search engine LIVIVO empowers retrieval functionality by incorporating various literature resources from medicine, health, environment, agriculture and nutrition. LIVIVO is developed in-house by ZB MED - Information Centre for Life Sciences. It provides a user-friendly and usability-tested search interface with a corpus of 55 Million citations derived from 50 databases. Standardized application programming interfaces are available for data export and high throughput retrieval. The search functions allow for semantic retrieval with filtering options based on life science entities. The service oriented architecture of LIVIVO uses four different implementation layers to deliver search services. A Knowledge Environment is developed by ZB MED to deal with the heterogeneity of data as an integrative approach to model, store, and link semantic concepts within literature resources and databases. Future work will focus on the exploitation of life science ontologies and on the employment of NLP technologies in order to improve query expansion, filters in faceted search, and concept based relevancy rankings in LIVIVO.

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Abstract

Multisource web news portals provide various advantages such as richness in news content and an opportunity to follow developments from different perspectives. However, in such environments, news variety and quantity can have an overwhelming effect. New-event detection and topic-tracking studies address this problem. They examine news streams and organize stories according to their events; however, several tracking stories of an event/topic may contain no new information (i.e., no novelty). We study the novelty detection (ND) problem on the tracking news of a particular topic. For this purpose, we build a Turkish ND test collection called BilNov-2005 and propose the usage of three ND methods: a cosine-similarity (CS)-based method, a language-model (LM)-based method, and a cover-coefficient (CC)-based method. For the LM-based ND method, we show that a simpler smoothing approach, Dirichlet smoothing, can have similar performance to a more complex smoothing approach, Shrinkage smoothing. We introduce a baseline that shows the performance of a system with random novelty decisions. In addition, a category-based threshold learning method is used for the first time in ND literature. The experimental results show that the LM-based ND method significantly outperforms the CS- and CC-based methods, and category-based threshold learning achieves promising results when compared to general threshold learning.

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Abstract

Recent, rapid changes in technology have resulted in a proliferation of choices for music storage and access. Portable, web-enabled music devices are widespread, and listeners now enjoy a plethora of options regarding formats, devices, and access methods. Yet in this mobile music environment, listeners' access and management strategies for music collections are poorly understood, because behaviors surrounding the organization and retrieval of music collections have received little formal study. Our current research seeks to enrich our knowledge of people's music listening and collecting behavior through a series of systematic user studies. In this paper we present our findings from interviews involving 20 adult and 20 teen users of commercial cloud music services. Our results contribute to theoretical understandings of users' music information behavior in a time of upheaval in music usage patterns, and more generally, the purposes and meanings users ascribe to personal media collections in cloud-based systems. The findings suggest improvements to the future design of cloud-based music services, as well as to any information systems and services designed for personal media collections, benefiting both commercial entities and listeners.

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Series

Synthesis lectures on information concepts, retrieval, and services ; 58