Recommendation in Social Bookmarking Communities

Total Page:16

File Type:pdf, Size:1020Kb

Recommendation in Social Bookmarking Communities Graph-Based Recommendation in Broad Folksonomies vorgelegt von Diplom-Ingenieur Robert Wetzker Von der Fakult¨atIV { Elektrotechnik und Informatik { der Technischen Universit¨atBerlin zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften { Dr.-Ing. { genehmigte Dissertation Promotionsausschuss: Vorsitzender: Prof. Dr. M¨oller Berichter: Prof. Dr. Albayrak Berichter: Prof. Dr. Bauckhage Tag der wissenschaftlichen Aussprache: 14. Mai 2010 Berlin 2010 D 83 Abstract The user-centric annotation of resources by freely chosen words (tags) has become the predominant form of content categorization of the Web 2.0 age. It provided the foundations for the success of now famous services, such as Delicious, Flickr, LibraryThing, or Last.fm. Tags have proven to be a powerful alternative to existing top-down categorization techniques, as for example taxonomies or predefined dictionaries, which lack flexibility and are expensive in their creation and maintenance. Instead, tagging allows users to choose the labels that match their real needs, tastes, or language, which reduces the required cognitive effort. Services that center on the collaborative tagging of resources are called folksonomies. These communities have become an invaluable source for infor- mation retrieval, since they bundle the interests of thousand or even millions of users, magnifying the underlying domain from a user-centric perspective. Furthermore, the existence of tags allows for the unified modeling of content independent of its type or format and without the need of expensive con- tent retrieval, processing, storage, or indexing. Of special interest from an information retrieval perspective are the tags that are generated in \broad folksonomies", where many users reference and tag the same objects. This collaborative tagging produces high quality content descriptors and charac- teristic tag spectra with high potential for better content models. This dissertation aims to develop novel algorithms for the personalized recommendation of objects within folksonomies. Recommender systems sup- port users in the discovery of valuable content out of an overwhelming set of choices and already increase the perceived value of many web applications. However, the tripartite structure of folksonomies that results from the in- teraction of content, tags, and users goes beyond the capability of common recommendation techniques. The algorithms presented in this dissertation are instead especially tailored towards to needs of folksonomies. They incor- porate tagging and usage patterns in parallel in order to derive more precise and robust recommendation models. Exhaustive tests for different settings and various folksonomies show that the developed solutions produce more iii accurate recommendations than the current state-of-the-art. iv Zusammenfassung Die nutzerzentrierte Klassifikation von Ressourcen durch Zuweisung frei w¨ahlbarerW¨orter(Tags) hat sich zu einem integralen Bestandteil moderner Webanwendungen entwickelt. W¨ahrendsich kontrollierte Klassifikations- schemata wie etwa Taxonomien bzw. Ontologien aus Nutzersicht h¨aufig als zu starr, kostspielig und wenig dynamisch erweisen, gew¨ahrenTags ein hohes Maß an Flexibilit¨atund erfordern nur geringen kognitiven Aufwand w¨ahrenddes Klassifikationssprozesses. Die Nutzerfreundlichkeit und Effek- tivit¨atdieser Art der unkontrollierten Inhaltsklassifikation begr¨undeteden Erfolg und die heutige weite Verbreitung von Tagging Communities wie De- licious, Flickr, LibraryThing oder Last.fm, welche man auch als Folksonomien bezeichnet. Folksonomien b¨undelndie Interessen von Tausenden oder Millio- nen von Nutzern und werden dadurch zu einzigartigen Informationsquellen. Die Existenz von Tags erlaubt dar¨uber hinaus eine einheitliche Modellierung von Inhalten unabh¨angigvon ihrer Art oder ihres Formats und erspart in vie- len F¨alleneine aufwendige Verarbeitung, Speicherung sowie Indizierung der Inhalte selbst. Aus Datenverarbeitungssicht besonders interessant sind soge- nannte \broad folksonomies", bei welchen die selben Inhalte von mehreren Nutzern referenziert und annotiert werden k¨onnen,so dass es zur Bildung deskriptiver und charakteristischer Worth¨aufungenkommt. In dieser Dissertation werden Algorithmen zur personalisierten Empfehlung von Inhalten in Folksonomien entworfen und evaluiert. Empfehlungssysteme unterst¨utzen Nutzer beim Entdecken interessanter Inhalte aus einer un¨ubersichtlichen Menge existierender M¨oglichkeiten. Obwohl bereits umfangreiche Forschungsarbeiten auf dem Gebiet von Empfehlungssystemen existieren, lassen sich diese nicht ohne Informa- tionsverlust auf die tripartite Folksonomiestruktur aus Inhalten, Nutzern und Tags ¨ubertragen. Die in dieser Arbeit entwickelten Algorithmen ber¨ucksich- tigen hingegen diese besondere Graphstruktur und profitieren von den durch Tags gegebenen semantischen Zusatzinformationen. Ausf¨uhrliche Tests in verschiedenen Szenarien und f¨urmehrere Folksonomien zeigen, dass die ent- wickelten L¨osungenbessere Empfehlungen liefern als existierende Ans¨atze. v Acknowledgments This dissertation would not have been possible without the constant encour- agement and support of many inspiring people. I was fortunate to have two experienced supervisors during my time at the DAI-Labor of the Technische Universit¨atBerlin. Professor Sahin Albayrak convinced me to follow the academic career path and provided the guidance as well as the freedom that were essential for this dissertation. Professor Christian Bauckhage introduced me to the world of research and has been an enduring source of inspiration and assistance ever since. Furthermore, I have been lucky to work with an amazing group of re- searchers during the past four years. I am deeply thankful to: Tansu Alpcan, Leonhard Hennig, Alexander Korth, Florian Metze, Nicolas Neubauer, Till Plumbaum, Alan Said, Winfried Umbrath, and Carsten Zimmermann. I would especially like to thank Tansu Alpcan, Florian Metze, and Chris- tian Bauckhage who introduced me to the topic of folksonomies and provided the opportunity for extensive study in this direction. I thank Winfried Um- brath and Alan Said for all the fruitful discussions and countless MATLAB nights. I also want to thank J´er^omeKunegis, who constantly challenged the problems and solutions we discussed. Trying to convince him of my ideas always contested previous believes and led to new insights. I further thank all other members of the competence center on information retrieval and ma- chine learning (CC-IRML) as well as the entire team of the DAI-Labor for their collaboration and support during the last years. Finally, I would like to express my deep gratitude to the many people who proofread this dissertation: Leonhard Hennig, Alan Said, Andreas Hotho, Alice Motanga, Carsten Zimmermann, Stefan Fricke, and J´er^omeKunegis. Their valuable comments, questions, and ideas have helped to improve the quality and coherence of this dissertation significantly. Last but not least I thank my family. For everything. vii Publications Many of the materials and concepts in this thesis have appeared in previous publications by the author. • Robert Wetzker, Carsten Zimmermann, Christian Bauckhage, Sahin Albayrak, I tag, You tag: Translating Tags for Advanced User Models, In: 3rd ACM Int. Conf. on Web Search and Data Mining (WSDM), 2010 • Alan Said, Robert Wetzker, Winfried Umbrath, Leonhard Hennig, A hybrid PLSA approach for warmer cold start in folksonomy recommen- dation, In: 3rd ACM Conf. on Recommender Systems, Workshop on Recommender Systems and the Social Web, 2009 • Robert Wetzker, Alan Said, Carsten Zimmermann, Understanding the user: Personomy translation for tag recommendation, In: Eur. Conf. on Machine Learning and Principles and Practice of Knowledge Dis- covery in Databases (ECML PKDD), Discovery Challenge, 2009 • Nicolas Neubauer, Robert Wetzker, Klaus Obermayer, Tag Spam Cre- ates Large Non-Giant Connected Components, In: 18th Int. World Wide Web Conference, 5th Int. Workshop on Adversarial Information Retrieval on the Web (AIRWEB), 2009 • Robert Wetzker, Winfried Umbrath, Alan Said, A hybrid approach to item recommendation in folksonomies (Best Technical Paper), In: 2nd ACM Int. Conf. on Web Search and Data Mining (WSDM), Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR), 2009 • Robert Wetzker, Carsten Zimmermann, Christian Bauckhage, Detect- ing Trends in Social Bookmarking Systems: A del.icio.us Endeavor, In: Int. Journal of Data Warehousing and Mining (to appear) ix • Christian Bauckhage, Tansu Alpcan, Robert Wetzker, Winfried Um- brath, IMAGE RETRIEVAL AND WEB 2.0: WHERE CAN WE GO FROM HERE?, In: 15th IEEE Int. Conf. on Image Processing (ICIP), 2008 • Robert Wetzker, Till Plumbaum, Alexander Korth, Christian Bauck- hage, Tansu Alpcan, Florian Metze, Detecting Trends in Social Book- marking Systems using a Probabilistic Generative Model and Smooth- ing, In: Int. Conf. on Pattern Recognition (ICPR), 2008 • Robert Wetzker, Carsten Zimmermann, Christian Bauckhage, Ana- lyzing Social Bookmarking Systems: A del.icio.us Cookbook, In: Eur. Conf. on Artificial Intelligence (ECAI), 2008 x Contents Introduction1 Motivation . .1 Contribution and structure . .3 Related publications . .7 Out of scope . .7 I The Nature of Folksonomies 11 1 An introduction to folksonomies 13 1.1 The power of tags . 15 1.2 Broad and narrow folksonomies . 17 1.3 Folksonomies & IR . 19 1.4 Modeling folksonomies . 22 1.5 Datasets . 24 2 A delicious endeavor 29 2.1 Crawling Delicious . 31 2.2
Recommended publications
  • From the Semantic Web to Social Machines
    ARTICLE IN PRESS ARTINT:2455 JID:ARTINT AID:2455 /REV [m3G; v 1.23; Prn:25/11/2009; 12:36] P.1 (1-6) Artificial Intelligence ••• (••••) •••–••• Contents lists available at ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint From the Semantic Web to social machines: A research challenge for AI on the World Wide Web ∗ Jim Hendler a, , Tim Berners-Lee b a Tetherless World Constellation, RPI, United States b Computer Science and AI Laboratory, MIT, United States article info abstract Article history: The advent of social computing on the Web has led to a new generation of Web Received 24 September 2009 applications that are powerful and world-changing. However, we argue that we are just Received in revised form 1 October 2009 at the beginning of this age of “social machines” and that their continued evolution and Accepted 1 October 2009 growth requires the cooperation of Web and AI researchers. In this paper, we show how Available online xxxx the growing Semantic Web provides necessary support for these technologies, outline the challenges we see in bringing the technology to the next level, and propose some starting places for the research. © 2009 Elsevier B.V. All rights reserved. Much has been written about the profound impact that the World Wide Web has had on society. Yet it is primarily in the past few years, as more interactive “read/write” technologies (e.g. Wikis, blogs and photo/video sharing) and social network- ing sites have proliferated, that the truly profound nature of this change is being felt. From the very beginning, however, the Web was designed to create a network of humans changing society empowered using this shared infrastructure.
    [Show full text]
  • Studies and Analysis of Reference Management Software: a Literature Review
    Studies and analysis of reference management software: a literature review Jesús Tramullas Ana Sánchez-Casabón {jesus,asanchez}@unizar.es Dept .of Library & Information Science, University of Zaragoza Piedad Garrido-Picazo [email protected] Dept. of Computer and Software Engineering, University of Zaragoza Abstract: Reference management software is a well-known tool for scientific research work. Since the 1980s, it has been the subject of reviews and evaluations in library and information science literature. This paper presents a systematic review of published studies that evaluate reference management software with a comparative approach. The objective is to identify the types, models, and evaluation criteria that authors have adopted, in order to determine whether the methods used provide adequate methodological rigor and useful contributions to the field of study. Keywords: reference management software, evaluation methods, bibliography. 1. Introduction and background Reference management software has been a useful tool for researchers since the 1980s. In those early years, tools were made ad-hoc, and some were based on the dBase II/III database management system (Bertrand and Bader, 1980; Kunin, 1985). In a short period of time a market was created and commercial products were developed to provide support to this type of information resources. The need of researchers to systematize scientific literature in both group and personal contexts, and to integrate mechanisms into scientific production environments in order to facilitate and expedite the process of writing and publishing research results, requires that these types of applications receive almost constant attention in specialized library and information science literature. The result of this interest is reflected, in bibliographical terms, in the publication of numerous articles almost exclusively devoted to describing, analyzing, and comparing the characteristics of several reference management software products (Norman, 2010).
    [Show full text]
  • 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.
    [Show full text]
  • Linked Data Overview and Usage in Social Networks
    Linked Data Overview and Usage in Social Networks Gustavo G. Valdez Technische Universitat Berlin Email: project [email protected] Abstract—This paper intends to introduce the principles of Webpages, also possibly reference any Object or Concept (or Linked Data, show some possible uses in Social Networks, even relationships of concepts/objects). advantages and disadvantages of using it, aswell as presenting The second one combines the unique identification of the an example application of Linked Data to the field of social networks. first with a well known retrieval mechanism (HTTP), enabling this URIs to be looked up via the HTTP protocol. I. INTRODUCTION The third principle tackles the problem of using the same The web is a very good source of human-readable informa- document standards, in order to have scalability and interop- tion that has improved our daily life in several areas. By using erability. This is done by having a standard, the Resource De- rich text and hyperlinks, it made our access to information scription Framewok (RDF), which will be explained in section something more active rather than passive. But the web was III-A. This standards are very useful to provide resources that made for humans and not for machines, even though today are machine-readable and are identified by a URI. a lot of the acesses to the web are made by machines. This The fourth principle basically advocates that hyperlinks has lead to the search for adding structure, so that data is should be used not only to link webpages, but also to link more machine-readable.
    [Show full text]
  • What Makes a Good Reference Manager? A
    1 What Makes A Good Reference Manager? 2 Quantitative Analysis of Bibliography Management Applications 3 4 5 ∗ 6 ANONYMOUS AUTHOR(S) 7 Reference managers have been widely used by researchers and students. While previous performed qualitative analysis for reference 8 managers, it is unclear how to asses these tools quantitatively. In this paper, we attempted to quantify the physical and mental effort to 9 10 use a reference manager. Specifically, we use a keystroke and mouse move logger, RUI, to record and analyze the user’s activities and 11 approximate the physical and mental effort. We also use pre- and post-study surveys to keep track of the participant’s preferences and 12 experiences with reference managers, and also their self-reported task load (NASA TLX Index.) In this pilot work, we first collected 69 13 pre-study surveys from graduate students to understand their experience with reference managers, and then conducted user study 14 with 12 voluntary participants. Four common reference managers, Mendeley, Zotero, EndNote, and RefWorks, were included in our 15 study. The results show, for the same task, different software might require different levels of effort, and users generally preferthe 16 tools that require less effort. We also observe that although these reference managers share similar features, the differences intheir 17 18 presentation and organization matter. Factors such as pricing, cloud sync and accuracy of bibliography generation also influence the 19 preference of users. We conclude this work by providing a set of guidelines for users and developers. 20 CCS Concepts: • Human-centered computing ! Usability testing; Activity centered design.
    [Show full text]
  • Mendeley Reader Counts for US Computer Science Conference
    1 Mendeley Reader Counts for US Computer Science Conference Papers and Journal articles1 Mike Thelwall, Statistical Cybermetrics Research Group, University of Wolverhampton, UK. Although bibliometrics are normally applied to journal articles when used to support research evaluations, conference papers are at least as important in fast-moving computing- related fields. It is therefore important to assess the relative advantages of citations and altmetrics for computing conference papers to make an informed decision about which, if any, to use. This paper compares Scopus citations with Mendeley reader counts for conference papers and journal articles that were published between 1996 and 2018 in 11 computing fields and had at least one US author. The data showed high correlations between Scopus citation counts and Mendeley reader counts in all fields and most years, but with few Mendeley readers for older conference papers and few Scopus citations for new conference papers and journal articles. The results therefore suggest that Mendeley reader counts have a substantial advantage over citation counts for recently-published conference papers due to their greater speed, but are unsuitable for older conference papers. Keywords: Altmetrics; Mendeley; Scientometrics; Computer Science; Computing; Conference papers 1 Introduction Altmetrics, social media indicators for the impact of academic research derived from the web (Priem, Taraborelli, Groth, & Neylon, 2010), are now widely available to help assess academic outputs. Altmetric.com, for example, collects a range of data about online mentions of academic documents, supplying it to journal publishers to display in article pages, to institutions to help them analyse their work and to researchers to track the impact of their publications (Adie & Roe, 2013; Liu & Adie, 2013).
    [Show full text]
  • Module Five - Management of Information
    Module Five - Management of Information Introduction “Where did I read this information?”, “I know that I printed a copy of this article, but I don't remember where I kept it.” These are very common situations among researchers, students or anybody whose works involve using documents. In the course of learning, teaching and research, information accessed from diverse sources accumulates. Without a proper information management practice; such information may be difficult to find and later locate. In certain instance some people may print the same documents again and again, or search for the same information every time they need it. As a consequence there is a need for this information to be organized so that it becomes easily accessible. Managing this information properly will save time, energy and lead to increased productivity. This module discusses tools and techniques for collecting, storing, organizing and using information. Special attention will be given to the management of the following categories of information: bibliographic references, primary documents such as books or articles, user’s notes and manuscripts. Learning Objectives In this module we will: • Explain the benefits of good organization of information, • Present referenced management tools, • present bookmark management tools, • Discuss information management techniques. Learning Outcomes At the end of the module, one should be able to: • Understand the importance of managing information, • Use a reference management software for storing bibliographic references, •
    [Show full text]
  • Selected Papers from the Conference and School on Records, Archives and Memory
    -------------------------------- Records, Archives and Memory Selected Papers from the Conference and School on Records, Archives and Memory Studies, University of Zadar, Croatia, May 2013 -------------------------------- Sveučilište u Zadru University of Zadar www.unizd.hr www.unizd.hr Za nakladnika For the Editor prof. dr. sc. Ante Uglešić Ante Uglešić, Ph.D., Professor Predsjednik Povjerenstva za izdavačku President of the Publishing djelatnost Sveučilišta u Zadru Committee of the University of Zadar prof. dr. sc. Josip Faričić Josip Faričić, Ph.D., Professor Odjel za informacijske znanosti Department of Information Sciences Studije iz knjižnične Studies in Library and i informacijske znanosti Information Sciences Knjiga 3 Volume 3 Urednice Editors prof. dr. sc. Mirna Willer Mirna Willer, Ph.D., Professor prof. dr. sc. Anne J. Gilliland Anne J. Gilliland, Ph.D., Professor doc. dr. sc. Marijana Tomić Marijana Tomić, Ph.D., Assistant Professor Urednički odbor Editorial Board prof. dr. sc. Tatjana Aparac-Jelušić Tatjana Aparac-Jelušić, Ph.D., Professor prof. dr. sc. Srećko Jelušić Srećko Jelušić, Ph.D., Professor doc. dr. sc. Franjo Pehar Franjo Pehar, Ph.D., Assistant Professor izv. prof. dr. sc. Ivanka Stričević Ivanka Stričević, Ph.D., Associate Professor doc. dr. sc. Nives Tomašević Nives Tomašević, Ph.D., Assistant Professor doc. dr. sc. Marijana Tomić Marijana Tomić, Ph.D., Assistant Professor prof. dr. sc. Mirna Willer Mirna Willer, Ph.D., Professor Glavni urednik Editor-in-Chief prof. dr. sc. Tatjana Aparac-Jelušić Tatjana Aparac-Jelušić, Ph.D., Professor Poslijediplomski studij “Društvo znanja Postgraduate Programme “Knowledge Society i prijenos informacija” and Information Transfer” Voditeljica doktorskog studija Director of the Postgraduate Programme prof. dr. sc.
    [Show full text]
  • Reference Management Software (Rms) in an Academic Environment: a Survey at a Research University in Malaysia
    Journal of Theoretical and Applied Information Technology 10 th June 2016. Vol.88. No.1 © 2005 - 2016 JATIT & LLS. All rights reserved . ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 REFERENCE MANAGEMENT SOFTWARE (RMS) IN AN ACADEMIC ENVIRONMENT: A SURVEY AT A RESEARCH UNIVERSITY IN MALAYSIA 1MOHAMMAD OSMANI, 2ROZAN MZA, 3BAKHTYAR ALI AHMAD, 4ARI SABIR ARIF 1 Department of Management, Mahabad Branch, Islamic Azad University, Mahabad, Iran 2 Faculty of Computing, Universiti Teknologi Malaysia (UTM), Johor, Malaysia 3 Faculty of Geo Information and Real Estate, Universiti Teknologi Malaysia (UTM), Johor, Malaysia 4 Faculty of Physical and Basic Education, University of Sulaimani (UOS), Sulaimani, Iraq E-mail: [email protected], [email protected] , [email protected], [email protected] ABSTRACT Reference Management Software is used by researchers in academics to manage the bibliographic citations they encounter in their research. With these tools, scholars keep track of the scientific literature they read, and to facilitate the editing of the scientific papers they write. This study presents the results of a quantitative survey performed at a research university in Malaysia. The aims of the survey were to observe how much these softwares are used by the scientific community, to see which softwares are most known and used, and to find out the reasons and the approaches behind their usage. Manually questionnaire was distributed to the Master and PhD students at all faculties in Jun 2014. The data collected were analysed through a constant comparative analysis, and the following categories were drawn: a basic practical approach to the instrument, the heavy impact of the time factor, the force of habit in scholars, economic issues, the importance of training and literacy, and the role that the library can have in this stage.
    [Show full text]
  • Evaluación De Software Libre Para La Gestión De Bibliografía
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by E-LIS Evaluación de software libre para la gestión de bibliografía Mónica Giménez López Jesús Tramullas Saz Resumen Las herramientas sociales de gestión de bibliografía están emergiendo rápidamente en la web. En este trabajo se lleva a cabo una evaluación de las herramientas de gestión bibliográfica más reconocidas existentes en la red. Al tratarse de herramientas libres y open source, se pretende elegir la mejor para desarrollar un servicio de gestión de bibliografías en castellano. Palabras clave Gestión bibliográfica, software libre, redes sociales, web 2.0., web semántica, Abstract The Social Tools in bibliography management are growing really fast on the Internet. In this project we’re going to evaluate the most popular management bibliography tools known. We’re going to select the best open source tool in order to develop a bibliography management service in Spanish Castilian. Keywords Bibliography management, free software, open source, social network, web 2.0., semantic web 1. Introducción Este trabajo pretende hacer una evaluación de varias herramientas de gestión bibliográfica que existen en la red, y que permiten importar, organizar, exportar, editar y compartir referencias bibliográficas, así como crear bibliografías personales y darle formato. Entre la amplia variedad de herramientas de gestión bibliográfica, disponibles, se han seleccionado las siguientes: • Bibsonomy ( http://www.bibsonomy.org ) • CiteuLike ( http://www.citeulike.org ) • Connotea ( www.connotea.org ) • Refbase ( http://refbase.sourceforge.net ) • Wikindx ( http://wikindx.sourceforge.net/ ) • Zotero ( http://www.zotero.org/ ) Se han analizado las características y capacidades que pueden interesar desde un punto de vista documental.
    [Show full text]
  • Research Techniques in Network and Information Technologies, February
    Tools to support research M. Antonia Huertas Sánchez PID_00185350 CC-BY-SA • PID_00185350 Tools to support research The texts and images contained in this publication are subject -except where indicated to the contrary- to an Attribution- ShareAlike license (BY-SA) v.3.0 Spain by Creative Commons. This work can be modified, reproduced, distributed and publicly disseminated as long as the author and the source are quoted (FUOC. Fundació per a la Universitat Oberta de Catalunya), and as long as the derived work is subject to the same license as the original material. The full terms of the license can be viewed at http:// creativecommons.org/licenses/by-sa/3.0/es/legalcode.ca CC-BY-SA • PID_00185350 Tools to support research Index Introduction............................................................................................... 5 Objectives..................................................................................................... 6 1. Management........................................................................................ 7 1.1. Databases search engine ............................................................. 7 1.2. Reference and bibliography management tools ......................... 18 1.3. Tools for the management of research projects .......................... 26 2. Data Analysis....................................................................................... 31 2.1. Tools for quantitative analysis and statistics software packages ......................................................................................
    [Show full text]
  • Tactics for Evaluating Citation Management Tools William Marino Eastern Michigan University, [email protected]
    Eastern Michigan University DigitalCommons@EMU University Library Faculty Scholarship University Library 1-1-2012 Fore-cite: Tactics for Evaluating Citation Management Tools William Marino Eastern Michigan University, [email protected] Follow this and additional works at: http://commons.emich.edu/lib_sch Recommended Citation Marino, William, "Fore-cite: Tactics for Evaluating Citation Management Tools" (2012). University Library Faculty Scholarship. Paper 7. http://commons.emich.edu/lib_sch/7 This Article is brought to you for free and open access by the University Library at DigitalCommons@EMU. It has been accepted for inclusion in University Library Faculty Scholarship by an authorized administrator of DigitalCommons@EMU. For more information, please contact lib- [email protected]. Fore-cite: tactics for evaluating citation management tools Introduction Once upon a time, there was a very limited set of options regarding citation management software, and this set was well understood to the trained mind and did what it was meant to do, and that was good. A leader, Endnote, arose among that set and was consequently supported by academic libraries and other research institutions across the world, who merrily spread the word that technology was breaking the age- long chains of paper’s tyranny—at least when it came to storing and sorting one’s references. As the internet matured, with the advent of Web 2.0 and cloud computing, this set began to expand and the environment began to change. Increased functionality and flexibility meant that users began to question the hegemony of the leader. Librarians, those champions of information, began to develop comparisons to assist users with the gnawing decision of which tool was best.
    [Show full text]