SEMAPRO 2011 Proceedings
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JISC & SCONUL Library Management Systems Study
JISC & SCONUL LMS Study Report – March 2008 JISC & SCONUL Library Management Systems Study An Evaluation and horizon scan of the current library management systems and related systems landscape for UK higher education March 2008 Sero Consulting Ltd with Glenaffric Ltd and Ken Chad Consulting Ltd Veronica Adamson, Paul Bacsich, Ken Chad, David Kay, Jane Plenderleith www.sero.co.uk JISC & SCONUL LMS Study Report – March 2008 Section 1 – Executive Summary & Key Messages - 1 - JISC & SCONUL LMS Study Report – March 2008 Contents CONTENTS ..................................................................................................................................................................2 SECTION 1 – EXECUTIVE SUMMARY & KEY MESSAGES.................................................................................4 SECTION 2 - SUMMARY REPORT .........................................................................................................................11 SECTION 3 - HORIZON SCAN ................................................................................................................................24 SECTION 4 - LIBRARY SURVEY............................................................................................................................49 SECTION 5 – VENDOR PERSPECTIVES................................................................................................................62 SECTION 6 - REFERENCE GROUP FEEDBACK...................................................................................................80 -
Discovery Strategy Recommendation
Discovery Strategy Recommendation September 2013 Sam Popowich, Discovery Systems Librarian FINAL Executive Summary Discovery solutions have come a long way from the days of the OPAC and the “next-generation catalogue”. Their systems and design considerations have attempted to keep pace with the development of the web more generally, without ever being generally successful. This lack of success means that we must investigate ways in which users’ attention and workflow have changed since the development of the web. Serious consideration has to be given to exposing our data as widely as possible and making our services available within a user's workflow, rather than forcing the user to come to us. Our discovery strategies must allow for both outside-in and inside-out discovery. No single system is capable of doing this, so any strategy we undertake must combine disparate systems into a single overarching solution. Given their lack of flexibility and customizability, as well as their cost and difficulty of installation and maintenance, none of the commercial discovery solutions are adequate on their own for a library-wide discovery strategy. However, an article-level knowledge base is indispensable for any discovery strategy to be viable and useful. The recommendation of this report, then, is to combine an existing commercial solution, preferably Ebsco Discovery Service, with a lightweight open-source discovery layer that will allow us extensive customizability as well as the ability to index any and all material we have available. My recommendation is to continue to license Ebsco Discovery Service and use its API to present its knowledge base data as one pane of a “bento box” display driven by Blacklight. -
Contextual Query-Driven E-News Summarisation
ISSN (Online) 2393-8021 IARJSET ISSN (Print) 2394-1588 International Advanced Research Journal in Science, Engineering and Technology ISO 3297:2007 Certified Vol. 5, Issue 6, June 2018 Contextual Query-Driven e-News Summarisation Kailash Karthik S1, Dakshina K2, Hariprasad KR3, Abha Suman4 Department of Computer Science and Engineering, National Institute of Technology, Tiruchirapalli, India 1, 2, 3, 4 Abstract: Given the phenomenal abundance in quantity of news available over the electronic medium, extraction of consolidated information from raw data has become important. Extraction of relevant textual content from E-News portals has become increasingly challenging due to CMSs and the dynamic nature of web pages. In this paper, a technique that provides condensed news information based on user preferences is presented. Information retrieval from the articles is based on TF-IDF, augmented by a novel transitive closure algorithm that adds context to the search. The impact of techniques like article tagging and coreference resolution on the retrieval of semantically and contextually related content is studied. The proposed system improves search latency through the separation of text processing and information extraction processes. Once information is extracted, summarized content based on user queries from different source portals is presented. The system achieves high precision and recall for both generic and domain- specific user queries. Keywords: Information retrieval, natural language processing, text summarisation, text mining I. INTRODUCTION The explosive growth of the internet and its information services has created a problem of information overload. The magnitude of information available has risen exponentially, making it impossible to consume it all. Extraction of relevant information has thus become indispensable at this juncture. -
Search and Fusion
Fundamentals of Search The Inverted Index Inverted Index with Stop Words Inverted Index with Term Positions Search Engines vs. Databases Search Requires a Different Data Modeling and Access Paradigm Traditional Databases Modern Search Engines Comments Need to think differently about the Store Normalized Data in Tables Store Denormalized Documents data model Vertical Scaling Horizontal Scaling Solr is built for Hadoop-scale Searches require Table Scan Get extremely fast, interactive (slows down dramatically as data Optimized for information Retrieval speeds on “big” data and access grows) Does not analyze unstructured Optimized for unstructured and Search-first NoSQL store text; slow at querying semistructured data Many ways to tune relevance in Results may be sorted by some Results ranked by relevance order to provide powerful user column experiences Different data model and horizontal scaling are characteristics of other modern NoSQL databases (Cassandra, HBASE, Couchbase, etc.) but the other three elements are unique to search engines Solr Documents Do Not Follow the Traditional Normalized Model Solr Documents Results Ranked by Relevance • Does not give you a randomly ordered set of results that matched your query; scores results and attempts to first return items that are more likely to be relevant/useful • Not just “what matches user query,” but “what is most likely the thing the user wanted” • Search is Recommendation Iterative Search App Development Model Maintaining a Virtuous Cycle…. Deploy Adopt Evolve …that helps customers grow along -
European Digital Library CONTENTS
European Research Consortium for Informatics and Mathematics Number 66, July 2006 www.ercim.org Special: European Digital Library CONTENTS JOINT ERCIM ACTIONS Information Access and Multimedia 4 ERCIM Beyond-the-Horizon Action Coordinates European ICT Research for the Future 34 Personalizing Digital Library Access with Preference-Based by Peter Kunz Queries by Periklis Georgiadis, Nicolas Spyratos, Vassilis Christophides 5 Stelios Orphanoudakis ERCIM Memorial Seminar and Carlo Meghini by Erzsébet Csuhaj-Varjú 36 Multilingual Interactive Experiments with Flickr 6 The ERCIM "Alain Bensoussan" Fellowship Programme by Jussi Karlgren, Paul Clough and Julio Gonzalo 7 ERCIM Workshop on Software Evolution 37 Multimedia Ontologies for Video Digital Libraries by Tom Mens, Maja D'Hondt and Laurence Duchien by Alberto Del Bimbo, Marco Bertini and CarloTorniai 8 A Tribute to Franco Denoth 38 Structured Multimedia Description for Simplified Interaction EUROPEAN SCENE and Enhanced Retrieval by Stephane Marchand-Maillet, Eric Bruno and Nicolas Moënne- 8 EC Expert Group on Next Generation GRIDs Loccoz by Keith Jeffery 40 Taking a New Look at News EURO-LEGAL by Arne Jacobs and Nektarios Moumoutzis 9 European Commission Consulting on Copyright Levy by Yue Liu 41 Radio Relief: Radio Archives Departments Benefit from Digital Audio Processing NEWS FROM W3C by Martha Larson, Thomas Beckers and Volker Schlögell 42 Self-Organizing Distributed Digital Library Supporting Audio- 10 In Memoriam: Alan Kotok Video 10 W3C to Participate in Advisory Board of Internet -
Metadata Fusion White Paper
Metadata Fusion White Paper StorExcel and IPV White Paper: Metadata Fusion And By Kurt Clawson (VP, Technology M&E) 1 Metadata Fusion White Paper TABLE OF CONTENTS ABSTRACT ................................................................................................................... 3 1. THE INTRODUCTION ............................................................................................. 3 2. THE APPROACH .................................................................................................... 4 3. THE ENVIRONMENT ............................................................................................. 5 Asset Management Layer (AML) .........................................................................................5 Video Search Engine (VSE) ..................................................................................................6 Audio Search Engine (ASE) ..................................................................................................6 4. THE SOLUTION ..................................................................................................... 7 Another example .............................................................................................................. 11 5. THE CONCLUSION ............................................................................................... 12 2 Metadata Fusion White Paper ABSTRACT In todays digitally rich computing environments, understanding more about the contents of large data sets consisting of video, image and audio