Search (1451 results, page 2 of 73)

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Abstract

Previous research has revealed the following three challenges for knowledge sharing: awareness of expertise distribution, motivation for sharing, and network ties. In this case study, we examine how different generations of information and communication technologies (ICTs), ranging from e-mail to micro-blogging, can help address these challenges. Twenty-one interviews with employees from a multinational company revealed that although people think social media can better address these challenges than older tools, the full potential of social media for supporting knowledge sharing has yet to be achieved. When examining the interconnections among different ICTs, we found that employees? choice of a combination of ICTs, as affected by their functional backgrounds, could create "technological divides" among them and separate resources. This finding indicates that having more ICTs is not necessarily better. ICT integration, as well as support for easy navigation, is crucial for effective knowledge search and sharing. Adaptation to local culture is also needed to ensure worldwide participation in knowledge sharing.

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Abstract

Recent research has involved identifying communities in networks. Traditional methods of community detection usually assume that the network's structural information is fully known, which is not the case in many practical networks. Moreover, most previous community detection algorithms do not differentiate multiple relationships between objects or persons in the real world. In this article, we propose a new approach that utilizes social interaction data (e.g., users' posts on Facebook) to address the community detection problem in Facebook and to find the multiple social groups of a Facebook user. Some advantages to our approach are (a) it does not depend on structural information, (b) it differentiates the various relationships that exist among friends, and (c) it can discover a target user's multiple communities. In the experiment, we detect the community distribution of Facebook users using the proposed method. The experiment shows that our method can achieve the result of having the average scores of Total-Community-Purity and Total-Cluster-Purity both at approximately 0.8.

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Abstract

In this work, we explore the types of triggers that spark trends on Twitter, introducing a typology with the following 4 types: news, ongoing events, memes, and commemoratives. While previous research has analyzed trending topics over the long term, we look at the earliest tweets that produce a trend, with the aim of categorizing trends early on. This allows us to provide a filtered subset of trends to end users. We experiment with a set of straightforward language-independent features based on the social spread of trends and categorize them using the typology. Our method provides an efficient way to accurately categorize trending topics without need of external data, enabling news organizations to discover breaking news in real-time, or to quickly identify viral memes that might inform marketing decisions, among others. The analysis of social features also reveals patterns associated with each type of trend, such as tweets about ongoing events being shorter as many were likely sent from mobile devices, or memes having more retweets originating from a few trend-setters.

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Abstract

Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections-and in which order-to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction.

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Abstract

Journalists were chosen for study because it was felt that they would be, as information seekers and packagers par excellence, in the advanced guard of Internet users and setting the pace. As it turned out this was not to be case. Despite what appear to be the considerable and direct benefits for them, after having interviewed approximately 150 journalists and observed the action in a variety of news rooms, it appears that less than one in five national journalist use the Internet and the proportion is much less than that for regional journalists. If this poor Internet take up in the workplace was unexpected, another surprise is the characteristics of those who have actually taken the Internet route. Far from being the stereotypical young and male, most are well practised journalist into their thirties/forties, which, of course, runs counter to all that we have been led to believe. Surprisingly, the study showed as much, if not more, interest in using the Internet from the supposedly `busy' senior managers and editors than in the rank and file.

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Abstract

The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging to the European Union. These clusters are here revisited from the point of view of graph theory and social network analysis. This is a quantitative and structural analysis. In fact, the Internet is a computer network that connects people and organizations. Thus we may consider it to be a social network. The set of Web academic sites represents an empirical social network, and is viewed as a virtual community. The network structural properties are here analysed applying together cluster analysis, graph theory and social network analysis. This is a work having taken place in the EICSTES project. EICSTES means European Indicators, Cyberspace, and the Science-Technology-Economy System. It is a research project supported by the Fifth Framework Program of R&D of the European Commission (IST-1999-20350)

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Abstract

There is very little qualitative data on what impact the Internet is having on information seeking in the workplace. Using open-ended interviews, questionnaires and observation, the impact of the Internet on the British Media was assessed. The focus was largely on newspapers, with The Guardian being covered in some depth. Over 300 journalists and media librarians were surveyed. It was found that amongst traditional journalists use was light. Poor access to the Internet - and good access to other information resources - were largely the reasons for this. Of the journalists it was mainly the older and more senior journalists and the New Media journalists who used the Internet. Librarians were also significant users. Searching the World Wide Web was the principal Internet activity and use was generally conservative in character. Newspapers and official sites were favoured, and searches were mainly of a fact-checking nature. Email was used on a very limited scale and was not regarded as a serious journalistic tool. Non-users were partly put off by the Internet's potential for overloading them with information and its reputation for producing information of suspect quality. Users generally dismissed these concerns, dealing with potential overload and quality problems largely by using authoritative sites and exploiting the lower quality data where it was needed. Where the Internet has been used it has not been at the expense of other information sources or communication channels, but online hosts seem to be at most risk in the future.

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Abstract

Online discussion forums have become a popular medium for users to discuss with and seek information from other users having similar interests. A typical discussion thread consists of a sequence of posts posted by multiple users. Each post in a thread serves a different purpose providing different types of information and, thus, may not be equally useful for all applications. Identifying the purpose and nature of each post in a discussion thread is thus an interesting research problem as it can help in improving information extraction and intelligent assistance techniques. We study the problem of classifying a given post as per its purpose in the discussion thread and employ features based on the post's content, structure of the thread, behavior of the participating users, and sentiment analysis of the post's content. We evaluate our approach on two forum data sets belonging to different genres and achieve strong classification performance. We also analyze the relative importance of different features used for the post classification task. Next, as a use case, we describe how the post class information can help in thread retrieval by incorporating this information in a state-of-the-art thread retrieval model.

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Abstract

Six years ago in this magazine, Tim Berners-Lee, James Hendler and Ora Lassila unveiled a nascent vision of the Semantic Web: a highly interconnected network of data that could be easily accessed and understood by any desktop or handheld machine. They painted a future of intelligent software agents that would head out on the World Wide Web and automatically book flights and hotels for our trips, update our medical records and give us a single, customized answer to a particular question without our having to search for information or pore through results. They also presented the young technologies that would make this vision come true: a common language for representing data that could be understood by all kinds of software agents; ontologies--sets of statements--that translate information from disparate databases into common terms; and rules that allow software agents to reason about the information described in those terms. The data format, ontologies and reasoning software would operate like one big application on the World Wide Web, analyzing all the raw data stored in online databases as well as all the data about the text, images, video and communications the Web contained. Like the Web itself, the Semantic Web would grow in a grassroots fashion, only this time aided by working groups within the World Wide Web Consortium, which helps to advance the global medium. Since then skeptics have said the Semantic Web would be too difficult for people to understand or exploit. Not so. The enabling technologies have come of age. A vibrant community of early adopters has agreed on standards that have steadily made the Semantic Web practical to use. Large companies have major projects under way that will greatly improve the efficiencies of in-house operations and of scientific research. Other firms are using the Semantic Web to enhance business-to-business interactions and to build the hidden data-processing structures, or back ends, behind new consumer services. And like an iceberg, the tip of this large body of work is emerging in direct consumer applications, too.

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Abstract

Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users' access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.

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Abstract

Vernetzung und Netzwerke finden sich allerorten, haben vielerlei Qualität und Materialität, erfüllen diverse Zwecke und Funktionen und konstituieren unterschiedliche Infrastrukturen, nicht nur kommunikativer und sozialer Art. Mit der Entwicklung und Verbreitung der Informationstechnik, der globalen Transport- und Vermittlungssysteme und endlich der anhaltenden Digitalisierung werden der Begriff und die damit bezeichnete Konnektivität omnipräsent und auf digitale Netze fokussiert, die im Internet als dem Netz der Netze seinen wichtigsten und folgenreichsten Prototypen findet. Dessen Entwicklung wird kompakt dargestellt. Die bereits vorhandenen und verfügbaren Anwendungsfelder sowie die künftigen (Industrie 4.0, Internet der Dinge) lassen revolutionäre Umbrüche in allen Segmenten der Gesellschaft erahnen, die von der nationalstaatlichen Gesetzgebung und Politik kaum mehr gesteuert und kontrolliert werden, neben unbestreitbar vielen Vorzügen und Verbesserungen aber auch Risiken und Benachteiligungen zeitigen können.

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Abstract

Das Fachinformationszentrum (FIZ) Karlsruhe ist als internationale Drehscheibe für Fachinformation seit Jahrzehnten verlässlicher und professioneller Servicepartner der Informationssuchenden in Wissenschaft und Technik. Neue web-basierte Dienstleistungen und Produkte erlauben dem professionellen Informationsbroker ebenso wie dem gelegentlichen Onliner oder Internet Pedestrian den effizienten und kostengünstigen Zugang zu Metadaten, naturwissenschaftlich-technisehen Daten und Fakten. Elektronische Volltexte per Hyperlink oder die komplette Dokument-Vermittlung werden gleichfalls angeboten. Die Weiterentwicklung und flexible Anpassung der Informationssysteme ermöglichen auch die Verknüpfung mit lokalen und regionalen Netzen der Forschungseinrichtungen und Hochschulen. Neue Serviceleistungen und Abrechnungsverfahren bieten besonders preisgünstige Konditionen für Hochschulen durch akademische Programme und Festpreise auf Subskriptionsbasis für ausgewählte Datenbanken. Darüber hinaus ist das FIZ Karlsruhe kompetenter Kooperationspartner bei Entwicklung und Betrieb von Informationssystemen

Source

nfd Information - Wissenschaft und Praxis. 51(2000) H.7, S.397-406

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Kölner Arbeiten zum Bibliotheks- und Dokumentationswesen; H.21

Source

Internet und Bibliotheken: Entwicklung - Praxis - Herausforderungen. Hrsg.: H. Jüngling

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Kölner Arbeiten zum Bibliotheks- und Dokumentationswesen; H.21

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Internet und Bibliotheken: Entwicklung - Praxis - Herausforderungen. Hrsg.: H. Jüngling

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Source

Internet und Bibliotheken: Entwicklung - Praxis - Herausforderungen. Hrsg.: H. Jüngling

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Kölner Arbeiten zum Bibliotheks- und Dokumentationswesen; H.21

Source

Internet und Bibliotheken: Entwicklung - Praxis - Herausforderungen. Hrsg.: H. Jüngling

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Imprint

Darmstadt : Fachhochschule, Fachbereich Information und Dokumentation

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Source

Wissenschaftliche und öffentliche Bibliotheken: CD-ROM und Online, Kinder und Jugendliche. Red.: H. Grube u. A. Holderried

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Abstract

Die Berücksichtigung der Informationsbedarfe und Informationsgewohnheiten ihrer jeweiligen Zielgruppe ist ein wesentliches Charakteristikum desAngebots der Virtuellen Fachbibliotheken Technik und Physik: Von Ingenieuren und Physikern gestellte Anforderungen an ein Informationsangebot werden in den Virtuellen Fachbibliotheken Technik und Physik umgesetzt, um demAnspruch gerecht zu werden, einen integrierten Zugang zu fachrelevanten Informationen und Dienstleistungen zu bieten. Dabei ist nicht nur bei derAuswahl der bereitgestellten Informationsquellen, sondern insbesondere auch bei derAufbereitung (wie z.B. der sachlichen Erschließung) und Präsentation der Inhalte und Angebote der Virtuellen Fachbibliotheken auf fachspezifische Gewohnheiten und Konventionen zu achten. Kooperationen z.B. mit Fachwissenschaftlern und mit Informationslieferanten sind für die Bereitstellung eines umfassenden und qualitativ hochwertigen Angebots wesentlich.

Source

Information - Wissenschaft und Praxis. 55(2004) H.2, S.81-88

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Abstract

Die elektronische Erfassung aller bedeutenden gedruckten Informationen und ihre Verbreitung über die weltweiten Datennetze in digitalisierter Form oder als Volltext stellt eine der zur Zeit größten Herausforderungen und Chancen für unsere Informationsgesellschaft dar. Der nachstehende Artikel widmet sich der oft gestellten Frage nach den technischen Methoden für die elektronische Erfassung, Erschließung und Bereitstellung gedruckter Vorlagen und beschreibt die wichtigsten Schritte der Digitalisierung und Datenaufbereitung und ihrer technischen und organisatorischen Parameter

Content

Beschreibt den Prozeß der digitalisierten Aufbereitung von Text und Bild etc. über Scannen