An Analysis of the Usage of Search Engines Vs Social Networks in Egypt
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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
Everyday Life Information Seeking
Everyday Life Information Seeking Reijo Savolainen Department of Information Studies and Interactive Media, University of Tampere, Tampere, Finland Folksonomies Ethiopia– Abstract Information seeking may be analyzed in two major contexts: job-related and nonwork. The present entry concentrates on nonwork information seeking, more properly called everyday life information seeking (ELIS). Typically, ELIS studies discuss the ways in which people access and use various information sources to meet information needs in areas such as health, consumption, and leisure. The entry specifies the concept of ELIS and characterizes the major ELIS models. They include the Sense-Making approach (Dervin), the Small world theory (Chatman), the ecological model of ELIS (Williamson), ELIS in the context of way of life (Savolainen), the model of information practices (McKenzie), and the concept of information grounds (Fisher). ELIS practices tend to draw on the habitualized use of a limited number of sources which have been found useful in previous use contexts. Since the late 1990s, the Internet has increasingly affected the ELIS practices by providing easily accessible sources. Even though the popularity of the networked sources has grown rapidly they will complement, rather than replace, more traditional sources and channels. INTRODUCTION THE CONCEPT OF ELIS Information seeking is a major constituent of information Thus far, a rich variety of themes have been explored in behavior or information practices, that is, the entirety of ELIS studies. They have focused on people belonging to ways in which people seek, use, and share information in diverse groups such as the following: different contexts.[1,2] Information seeking may be ana- lyzed in two major contexts: job-related and nonwork. -
Inst Xxx: Information User Needs & Assessment
INST408A_Consumer_Health_Informatics_Syllabus_Fall2019_StJean&Jardine_Final INST 408A-0101 Special Topics in Information Science: Consumer Health Informatics College of Information Studies, University of Maryland Mondays, 2:00 – 4:45 PM (Hornbake Library, North Wing, Room 0302H) Fall 2019 Co-Instructors: Beth St. Jean, Associate Professor Fiona Jardine, Doctoral Candidate Hornbake Building, Room 4117K Hornbake Building, Room 4105 301-405-6573 301-602-3936 [email protected] [email protected] Office Hours: Beth St. Jean: Mondays, 5:00 to 6:00 PM, or by appointment. Fiona Jardine: Fridays 12:00 to 1:00 PM, or by appointment. Our Liaison Librarian: Rachel Gammons, Head of Teaching and Learning Services, 4100C McKeldin Library, [email protected], 301-405-9120. [Research Guide: https://lib.guides.umd.edu/information_studies] Catalog Description [Prerequisite: INST 201 (Introduction to Information Science)] In this course, we will investigate the fields of Consumer Health Informatics and Information Behavior, focusing most heavily on their intersection – Consumer Health Information Behavior. We will explore people’s health-related information needs and whether, how, and why people seek out and use (or do not seek out and use) health information and the types of health information they find useful. We will also cover the important and interrelated topics of information avoidance, health behaviors, health literacy, digital health literacy, doctor-patient communication, and patient-to-patient communication through support groups and online communities. Throughout the course, we will also focus on the important concept of health justice – an ideal state in which everyone has an adequate and equitable capability to be healthy. We will identify populations that frequently experience social injustice and explore the information-related causes and broader consequences of the health inequities members of these populations tend to face. -
The World Wide Web As a Social Infrastructure for Knowledgeoriented Work
TRITA-NA-D0107 CID-255 ISSN 1403-0721 Department of Numerical Analysis and Computer Science The World Wide Web as a social infrastructure for knowledgeoriented work Kerstin Severinson Eklundh, Kristina Groth, Anders Hedman, Ann Lantz, Henrry Rodriguez, Eva-Lotta Sallnäs CID, CENTRE FOR USER ORIENTED IT DESIGN Kerstin Severinson Eklundh, Kristina Groth, Anders Hedman, Ann Lantz, Henrry Rodriguez, Eva-Lotta Sallnäs The World Wide Web as a social infrastructure for knowledge-oriented work Report number: TRITA-NA-D0107, CID-255, IPLab-182 ISSN number: ISSN 1403 - 0721 (print) 1403 - 073 X (Web/PDF) Publication date: Stockholm, 2001 E-mail of author: [email protected] Reports can be ordered from: CID, Centre for User Oriented IT Design NADA, Deptartment of Numerical Analysis and Computer Science KTH (Royal Institute of Technology) SE- 100 44 Stockhom, Sweden Telephone: + 46 (0)8 790 91 00 Fax: + 46 (0)8 790 90 99 E-mail: [email protected] URL: http://cid.nada.kth.se 1 The World Wide Web as a social infrastructure for knowledge- oriented work Kerstin Severinson Eklundh Kristina Groth Anders Hedman Ann Lantz Henrry Rodriguez Eva-Lotta Sallnäs Technical report IPLab-182 Department of Numerical Analysis and Computer Science Royal Institute of Technology, Stockholm, 2001 Introduction The World Wide Web has implied an explosion in network-mediated information exchange. Its ubiquitous nature and technical strengths, in particular the flexible hypermedia document format and the general communication protocol, have given users a powerful infrastructure for sharing knowledge as well as for interactive communication. This has created new research questions with respect to how people conceptualize the Web, and how the use of this medium is embedded in their professional activities. -
Studying Social Tagging and Folksonomy: a Review and Framework
Studying Social Tagging and Folksonomy: A Review and Framework Item Type Journal Article (On-line/Unpaginated) Authors Trant, Jennifer Citation Studying Social Tagging and Folksonomy: A Review and Framework 2009-01, 10(1) Journal of Digital Information Journal Journal of Digital Information Download date 02/10/2021 03:25:18 Link to Item http://hdl.handle.net/10150/105375 Trant, Jennifer (2009) Studying Social Tagging and Folksonomy: A Review and Framework. Journal of Digital Information 10(1). Studying Social Tagging and Folksonomy: A Review and Framework J. Trant, University of Toronto / Archives & Museum Informatics 158 Lee Ave, Toronto, ON Canada M4E 2P3 jtrant [at] archimuse.com Abstract This paper reviews research into social tagging and folksonomy (as reflected in about 180 sources published through December 2007). Methods of researching the contribution of social tagging and folksonomy are described, and outstanding research questions are presented. This is a new area of research, where theoretical perspectives and relevant research methods are only now being defined. This paper provides a framework for the study of folksonomy, tagging and social tagging systems. Three broad approaches are identified, focusing first, on the folksonomy itself (and the role of tags in indexing and retrieval); secondly, on tagging (and the behaviour of users); and thirdly, on the nature of social tagging systems (as socio-technical frameworks). Keywords: Social tagging, folksonomy, tagging, literature review, research review 1. Introduction User-generated keywords – tags – have been suggested as a lightweight way of enhancing descriptions of on-line information resources, and improving their access through broader indexing. “Social Tagging” refers to the practice of publicly labeling or categorizing resources in a shared, on-line environment. -
Study of Information Seeking Behavior and Library Use Pattern of Researchers in the Banasthali University
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln March 2013 Study of Information Seeking Behavior and Library Use Pattern of Researchers in the Banasthali University A.K. Pareek Banasthali University, [email protected] Madan S. Rana Assam University, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons Pareek, A.K. and Rana, Madan S., "Study of Information Seeking Behavior and Library Use Pattern of Researchers in the Banasthali University" (2013). Library Philosophy and Practice (e-journal). 887. https://digitalcommons.unl.edu/libphilprac/887 Study of Information Seeking Behavior and Library Use Pattern of Researchers in the Banasthali University A.K.Pareek* Madan S. Rana** Abstract This study was undertaken to determine the information seeking behavior and library use by research scholars at the Banasthali University. The overall purpose of the study was to determine what their information requirements and also determine their awareness of library services available to them. The study collected data on the information requirements of researchers. Data were gathered from 100 researchers out of 150 through open and closed questionnaire. Findings indicate that guidance in the use of library resources and services is necessary to help researchers meet some of their information requirements. Keywords: Information seeking behavior; Library resources; e-resources; Inter-Library Loan (ILL); Documentary delivery. Introduction In library and information science research is a substantial body of work addressing information-related behavior, including information needs, information seeking and use of information resources. -
A Comparison of Information Seeking Using Search Engines and Social Networks
A Comparison of Information Seeking Using Search Engines and Social Networks Meredith Ringel Morris1, Jaime Teevan1, Katrina Panovich2 1Microsoft Research, Redmond, WA, USA, 2Massachusetts Institute of Technology, Cambridge, MA, USA {merrie, teevan}@microsoft.com, [email protected] Abstract et al. 2009 or Groupization by Morris et al. 2008). Social The Web has become an important information repository; search engines can also be devised using the output of so- often it is the first source a person turns to with an informa- cial tagging systems such as delicious (delicious.com). tion need. One common way to search the Web is with a Social search also encompasses active requests for help search engine. However, it is not always easy for people to from the searcher to other people. Evans and Chi (2008) find what they are looking for with keyword search, and at describe the stages of the search process when people tend times the desired information may not be readily available to interact with others. Morris et al. (2010) surveyed Face- online. An alternative, facilitated by the rise of social media, is to pose a question to one‟s online social network. In this book and Twitter users about situations in which they used paper, we explore the pros and cons of using a social net- a status message to ask questions of their social networks. working tool to fill an information need, as compared with a A well-studied type of social searching behavior is the search engine. We describe a study in which 12 participants posting of a question to a Q&A site (e.g., Harper et al. -
Understanding Information-Seeking Behaviour of Undergraduate Extension Program Students in Faculty of Administrative Science, Universitas Indonesia
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln Winter 2-1-2021 Understanding Information-Seeking Behaviour of Undergraduate Extension Program Students in Faculty of Administrative Science, Universitas Indonesia Indah Perdana Kusuma Universitas Indonesia, [email protected] Taufik Asmiyanto Universitas Indonesia, [email protected] Rahmi Rahmi Universitas Indonesia, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons Kusuma, Indah Perdana; Asmiyanto, Taufik; and Rahmi, Rahmi, "Understanding Information-Seeking Behaviour of Undergraduate Extension Program Students in Faculty of Administrative Science, Universitas Indonesia" (2021). Library Philosophy and Practice (e-journal). 5060. https://digitalcommons.unl.edu/libphilprac/5060 Understanding Information-Seeking Behaviour of Undergraduate Extension Program Students in Faculty of Administrative Science, Universitas Indonesia Indah Perdana Kusuma1, Taufik Asmiyanto2, and Rahmi3 1 Undergraduate Student (graduated in August 2020), Department of Library and Information Science, Faculty of Humanities, Universitas Indonesia, Depok, 16424, Indonesia [email protected] 2 Corresponding author, 2,3 Lecturer in Department of Library and Information Science, Faculty of Humanities, Universitas Indonesia, Depok, 16424, Indonesia [email protected]; [email protected] Abstract: The information -
A Federated Search and Social Recommendation Widget
A Federated Search and Social Recommendation Widget Sten Govaerts1 Sandy El Helou2 Erik Duval3 Denis Gillet4 Dept. Computer Science1,3 REACT group2,4 Katholieke Universiteit Leuven Ecole Polytechnique Fed´ erale´ de Lausanne Celestijnenlaan 200A, Heverlee, Belgium 1015 Lausanne, Switzerland fsten.govaerts1, [email protected] fsandy.elhelou2, denis.gillet4g@epfl.ch ABSTRACT are very useful, but their generality can sometimes be an ob- This paper presents a federated search and social recommen- stacle and this can make it difficult to know where to search dation widget. It describes the widget’s interface and the un- for the needed information [2]. Federated searching over derlying social recommendation engine. A preliminary eval- collections of topic-specific repositories can assist with this uation of the widget’s usability and usefulness involving 15 and save time. When the user sends a search request, the subjects is also discussed. The evaluation helped identify us- federated search widget collects relevant resources from dif- ability problems that will be addressed prior to the widget’s ferent social media sites [3], repositories and search engines. usage in a real learning context. Before rendering aggregated results, the widget calls a per- sonalized social recommendation service deemed as crucial Author Keywords in helping users select relevant resources especially in our federated search, social recommendations, widget, Web, per- information overload age [4,5]. The recommendation ser- sonal learning environment (PLE), Pagerank, social media, vice ranks these resources according to their global popu- Web 2.0 larity and most importantly their popularity within the social network of the target user. Ranks are computed by exploiting attention metadata and social networks in the widget. -
Unicorn: a System for Searching the Social Graph
Unicorn: A System for Searching the Social Graph Michael Curtiss, Iain Becker, Tudor Bosman, Sergey Doroshenko, Lucian Grijincu, Tom Jackson, Sandhya Kunnatur, Soren Lassen, Philip Pronin, Sriram Sankar, Guanghao Shen, Gintaras Woss, Chao Yang, Ning Zhang Facebook, Inc. ABSTRACT rative of the evolution of Unicorn's architecture, as well as Unicorn is an online, in-memory social graph-aware index- documentation for the major features and components of ing system designed to search trillions of edges between tens the system. of billions of users and entities on thousands of commodity To the best of our knowledge, no other online graph re- servers. Unicorn is based on standard concepts in informa- trieval system has ever been built with the scale of Unicorn tion retrieval, but it includes features to promote results in terms of both data volume and query volume. The sys- with good social proximity. It also supports queries that re- tem serves tens of billions of nodes and trillions of edges quire multiple round-trips to leaves in order to retrieve ob- at scale while accounting for per-edge privacy, and it must jects that are more than one edge away from source nodes. also support realtime updates for all edges and nodes while Unicorn is designed to answer billions of queries per day at serving billions of daily queries at low latencies. latencies in the hundreds of milliseconds, and it serves as an This paper includes three main contributions: infrastructural building block for Facebook's Graph Search • We describe how we applied common information re- product. In this paper, we describe the data model and trieval architectural concepts to the domain of the so- query language supported by Unicorn. -
Social Navigation and Local Folksonomies: Technical and Design Considerations for a Mobile Information System, in Hatzipanagos, Stylianos and Warburton, Steven, Eds
QUT Digital Repository: http://eprints.qut.edu.au/ Bilandzic, Mark and Foth, Marcus (2008) Social Navigation and Local Folksonomies: Technical and Design Considerations for a Mobile Information System, in Hatzipanagos, Stylianos and Warburton, Steven, Eds. Social Software and Developing Community Ontologies. IGI Global. © Copyright 2008 IGI Global This chapter appears in "Social Software and Developing Community Ontologies" edited by Stylianos Hatzipanagos and Steven Warburton, Copyright 2008, IGI Global, www.igi-pub.com. Posted by permission of the publisher. Posted with the permission of the copyright owner for your personal use only. No further distribution is permitted without permission of the copyright owner. Social Navigation and Local Folksonomies: Technical and Design Considerations for a Mobile Information System Mark Bilandzic Center for Digital Technology and Management, Technische Universität München, Germany [email protected] Marcus Foth Creative Industries, Queensland University of Technology, Australia [email protected] Abstract Web services such as wikis, blogs, podcasting, file sharing and social networking are frequently referred to by the term Web 2.0. The innovation of these services lies in their ability to enable an increasing number of users to actively participate on the Internet by creating and sharing their own content and help develop a collective intelligence. In this paper we discuss how we use Web 2.0 techniques such as ‘folksonomy’ and ‘geo-tagging’ in a mobile information system to collect and harness the everyday connections and local knowledge of urban residents in order to support their social navigation practices. 1 Introduction Our physical world holds certain characteristics that enable us to interpret what other people have done, how they behaved, and where they have travelled. -
The Top 10 Alternative Search Engines (ASE) - Within Selected Categories Ranked by Webometric Indicators
The Top 10 Alternative search Engines (ASE) - within Selected Categories Ranked by Webometric Indicators Bernd Markscheff el Bastian Eine Within the scientifi c fi eld of webometrics many research objects had been analyzed and compared with the help of webometric indicators (e.g., the performance of a whole country, a research group or an indi- vidual). This paper presents a ranking of ASEs which is based on webo- metric indicators. As search engines have become an essential tool for searching for information on the web many alternative search services have specialized in fi nding topic- or format-specifi c search results. By creating a ranking of these ASEs within selected categories we present an overview of the ASEs which are currently available. Through webo- metric indicators the ASEs were compared and the most popular ASEs of the respective categories determined. Keywords: Search engines, Webometric indicators Bernd Markscheff el Chair of Information and 1. Introduction Knowledge Management Technische Universität While searching for information on the web, search en- Ilmenau gines can assist the user to fi nd satisfying results. Although, P.O. Box 100565 just a few dominate the search engine market a large num- 98684 Ilmenau ber of diff erent web search services and tools exist (Maaβ Germany et al., [1]). Beside the well known universal search engines bernd.markscheff el@ like Google, Yahoo and Bing several ASEs are specialized tuilmenau.de in providing options to search for special document types, specifi c topics or time-sensitive information (Gelernter [2]; Bastian Eine Consultant for Search Engine Originally presented at the 7th International Conference on Webometrics, Optimization and Online Informetrics and Scientometrics (WIS) and 12th COLLNET Meeting, Marketing September 20–23, 2011, Istanbul Bilgi University, Istanbul, Turkey.