Learning Objects, Digital Library Research Laboratory

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Recent Submissions

Now showing 1 - 20 of 45
  • Half-Day Tutorial: Collecting, Analyzing, and Visualizing Tweets Using Open Source Tools
    Yang, Seungwon; Kavanaugh, Andrea L. (2011-06-01)
    This tutorial introduces various open source tools and methods to archive tweets on a user's local machine and convert them into topic clouds for quick content analysis. For more in-depth techniques such as n-grams and term extraction are introduced along with PHP/Python scripting.
  • OAI/ODL Component Composition Exercise
    Suleman, Hussein (2002-09-01)
    This exercise is a hands-on introduction to building digital libraries from components. It is a good introduction for individuals with modest Unix skills, and it reviews the process of using DLbox to create a working digital library.
  • Application Software
    Yang, Seungwon (2009-10-07)
    This module covers commonly used application software, which are specifically designed for the creation and development of digital library (DL) systems and similar types of collections and services, such as open access archives.
  • Protocols
    Singh, Ajeet; Chen, Yinlin; Santhanam, Srinivasa; Zhu, Weihua (2009-10-09)
    This module addresses the concepts, development and implementation of digital library protocols and covers the roles of protocols in information retrieval systems (IR) and Service Oriented Architectures (SOA).
  • Media Computation
    Slack, Dylan (2011-05-04)
    Media Computation is a new type of introductory Computer Science class created to provide a path for those interested in doing creative, multimedia-related tasks with computing and attract them to the discipline of Computer Science. This module serves as a walk-through tutorial to get students jump-started into what Media Computation is all about.
  • Relevance Feedback and Query Expansion
    Wu, Sichao; Zhang, Yao (2012-10-17)
    This module introduces the methods to improve the recall of information retrieval systems, mainly focuses on relevance feedback and query expansion.
  • Pure Data Module
    Scott, Conor (2011-05-06)
    This is the manual for the Pure Data (Pd) Module. Within this directory you will find the source for Pd and pd-l2ork (source and precompiled binary), several Pd tutorials and the patches that accompany them, as well as other pertinent information to the module.
  • New Cloud Modules Fingerprint Module
    Saraiya, Saptak (2011-05-04)
    The NIST Biometric Image Software (NBIS) distribution is developed by the National Institute of Standards and Technology (NIST) for the Federal Bureau of Investigation (FBI) and Department of Homeland Security (DHS). The NBIS utilities fall under six general categories: PCASYS, MINDTCT, NFIQ, AN2K, BOZORTH3, and NFSEG. In this paper I will describe how to use these utilities. I have also included all the resources for each of the executable included in the NBIS software. They are bundled up in the software folder in the cloud. I will talk more about this in the user's manual.
  • Web Publishing
    Karia, Pratik (2009-09-08)
    This module covers the general principles of web publishing and the various paradigms that can be used for storing and retrieving content within digital libraries. This module introduces various techniques to publish information in digital libraries and compares and contrasts them. It also discusses how the various paradigms can be used in varied scenarios for different applications.
  • Metadata
    Pomerantz, Jeffrey P. (2009-10-07)
    This module addresses the use of metadata, specific metadata standards that may be used to describe digital objects, and the creation of metadata records.
  • Digitization
    Oh, Sanghee (2009-10-07)
    This module covers the principles and application of the digitization process for digital libraries. Students will be able to explain the digitization process, understand the critical issues and challenges of digitization projects, and implement digitization protocols.
  • DL Architectures
    Yang, Seungwon; Fox, Edward A. (2009-10-07)
    This module covers digital library architectures, specifically federated architectures, distributed architectures, and service-oriented architectures.
  • Audacity 1.3
    Brown, Chris (2011-05-01)
    This module covers the use of Audacity 1.3 hosted on an IBM Cloud Instance. Topics covered include accessing and running Audacity, and manipulating audio files such as splitting, copying, pasting, merging, and exporting.
  • Weka
    Peddi, Bhanu; Xiong, Huijun; ElSherbiny, Noha (2010-12-10)
    This module stresses the methods of text classification used in information retrieval. We focus on the usage of Weka, a data mining toolkit, in data processing with three classification algorithms: Naive Bayes [1], k Nearest Neighbor [2], and Support Vector Machine [3]) mentioned in the textbook [7].
  • Overview of LucidWorks Big Data Software
    Chitturi, Kiran (2012-09-16)
    This module introduces the basic concepts and the overview of LucidWorks Big Data software that is specifically designed for searching, discovery, and analysis of massive content sets.
  • Text Classification Using Mahout
    Alam, Maksudul; Arifuzzaman, S. M.; Bhuiyan, Md Hasanuzzaman (2012-11-06)
    This module focuses on classification of text using Apache Mahout. After successful completion of this module, students will be able to explain and apply methods of classification, correctly classify a set of documents using Apache Mahout, and construct and apply workflows for text classification using Apache Mahout.
  • SEDNA XML Database
    Vijay, Sony; El Meligy Abdelhamid, Sherif; Malayattil, Sarosh (2010-12-09)
    The module introduces the use of SEDNA XML database for XML retrieval. The primary focus of the module is to describe the architecture of SEDNA database and how standard XML queries can be used to retrieve data from it.
  • LucidWorks: Advanced Searching cURL
    Makkapati, Hemanth; Subbiah, Rajesh; Kaw, Rushi (2012-10-07)
    This module focuses on advanced search techniques using Apache Solr through cURL. Successful completion of this module will enable students to employ advanced search techniques based on multi-values, multi-fields, phrase queries, query term proximity, boosting, etc. Also, students will be able to sort and display returned results in various ways.
  • Hadoop Map-reduce
    Shu, Xiaokui; Cohen, Ron (2010-12-10)
    Hadoop Map-Reduce is a software framework for writing applications for processing large amounts of data in parallel on commodity hardware.
  • LucidWorks: Searching with cURL
    Schutt, Kyle; Morgan, Kyle (2012-10-01)
    This module addresses utilizing cURL and the Query admin to search documents. Students will be capable of querying an index, working with results, and describing query parsing.