Information Storage & Retrieval Systems. Paper Presented by Dushyant Verma. At INTERNATIONAL VIRTUAL CONFERENCE ON INFORMATION RETRIEVAL ON SCIENTIFIC LITERATURE: EMERGING FRONTIERS AND CHALLENGES on 10th & 11th June, 2014 Maharishi Markandeshwar University ( Mullana )
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Information Storage & Retrieval Systems Paper Presented by Dushyant Verma At INTERNATIONAL VIRTUAL CONFERENCE ONINFORMATION RETRIEVAL ON SCIENTIFIC LITERATURE: EMERGING FRONTIERS AND CHALLENGES on 10th & 11th June, 2014 Maharishi Markandeshwar University (Mullana) email@example.com
INTRODUCTION • Information Storage & Retrieval Systems is the techniques of storing and recovering and often disseminating recorded data. • Information in this context can be composed of text (including numeric and date data), images, audio, video and other multi-media objects.
Early libraries concentrated on arranging books in some prescribed order on shelves. • With the advance in the knowledge gained, the information storage is becoming a complex processes. • To solve the piling up complexity in the traditional storage and retrieval system, new generation digital libraries have come up. • The sole purpose this presentation is review the early and latest information retrieval systems
THE CONCEPT OF INFORMATION RETRIEVAL • The organization of certain documents or records containing information in a suitable manner to obtain or retrieve the data for later use is the basic concept behind the information storage and retrieval systems
NEED FOR INFORMATION RETRIEVAL • Search for documents that fall in a given topic • Search for a specific information • Search an answer to a question • Search for information in a different language
IDEAL REQUIREMENTS OF IR SYSTEM • Prompt dissemination of information • Filtering of information • The right amount of information at the right time • Browsing, • Getting information in an economical way • Current literature • Interpersonal communication and • Personal help.
INFORMATION RETRIEVAL TOOLS / METHODS Traditional Information Retrieval Tools • Classification • Cataloguing • Indexing • Abstracting
CLASSIFICATION Classification schemes were mainly designed for organizing bibliographic items on the library shelves. The main Classification schemes are : • Dewey Decimal Classification (DDC) • Universal Decimal Classification (UDC) • Library of Congress Classification Scheme (LC) • Colon Classification (CC) etc.
CATALOGUING • Cataloguing meant those activities that record, describe and index the resources of a collection that were acquired in a manner that will aid the end-user in locating materials in the collection(s).
INDEXING • Indexing systems designed to assist in the retrieval of documents operate by assigning index terms to the analyzed subject of each document either manually or automatically.
ABSTRACTING • Abstracting is defined as a brief but accurate representation of the content of a document and abstract is different from an extract, an annotation or summary. • Different types of include; • Abstract by writer • Abstracts by purpose • Abstract by form
INFORMATION RETRIEVAL TOOLS / METHODS Modern Information Retrieval Tools • OPAC (Online Public Access Catalogue) • Electronic Databases & Digital Libraries • Web Search Engine
OPAC • Online public access catalogues (OPACs) are a form of traditional catalogues telecommunications technology, to research remote databases. • OPACs have helped users locate various materials in library collections and benefit from facilities not provided by their predecessors, catalogues based on individual sheets. • In addition, they serve as a gateway for other search systems by creating links thereto.
ELECTRONIC DATABASES AND DIGITAL LIBRARIES • An electronic database is a collection of data arranged in a systematic way to make the search easy and fast. • It is a computer-based collection or listing of information, usually organized with searchable elements or fields.. • Digital libraries provide local contents in the electronic form through internet to global clients.
WEB SEARCH ENGINE • Web search engines are based on large databases where programs called search robots retrieve and index information from all of the content on the Internet. • The search engines take into account the frequency of and connections between search words, phrases etc. in the search results they produce. Examples Google, Yahoo, Bing etc..
Search engines allow you to direct your search your information available on the Internet via your Internet browser. This includes: • websites • Internet discussion groups • news groups • information in different formats (images, sound and video)
Multimedia Information Retrieval (MMIR or MIR) • It is a research discipline of computer science that aims at extracting semantic information from multimedia data sources. • Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such as text, biosignals as well as not perceivable sources such as bio information, stock prices, etc.
Smart Phone or Tab Apps for retrieval of information • With the advent of smart phones, the information retrieval is all the easier and it’s just a click away from the user. • In the newer library apps in the smart phone the card catalog is available online, people can check from their phone if that book is in stock.
Example for one such apps is Princeton Mobile app, which is developed by the prestigious Princeton University • Many E-Resources companies have launched their Mobile App for information retrieval in individual hand.
CONCLUSION • Information is ever changing and it can’t be stagnate or constant. • To seek the knowledge one has to be informed and the today’s information storage and retrieval systems have so far successfully managed the need of the research community. • Nevertheless, the retrieval systems need constant updating so as to adapt to the ever changing technology.