scholarly journals DILIA - A DIGITAL LIBRARY ASSISTANT - A New Approach to Information Discovery through Information Extraction and Visualization

2009 ◽  
Keyword(s):  
Information Extraction ◽  
Digital Library ◽  
Information Discovery ◽  
New Approach

Unified Citation Management and Visualization Using Open Standards

2011 ◽  
pp. 230-250
Author(s):  
Mark Ginsburg
Keyword(s):  
Operating System ◽  
Digital Library ◽  
Scientific Research ◽  
Future Directions ◽  
New Approach ◽  
Topic Maps ◽  
Bibliographic Information ◽  
Classification Code ◽  
Open Standards ◽  
Citation System

Scientific research is hindered when there are artificial barriers preventing the efficient and straightforward sharing of bibliographic information. In today’s computing world, the barriers take the form of incompatible bibliographic formats and constraining operating-system and vendor dependencies. These incompatible platforms isolate the respective camps. In this chapter, we demonstrate and discuss a new approach to unify citation management: the Open Citation System (OCS). OCS uses open XML standards and Java-component technologies. By providing converter tools to migrate citations to a centralized hub in BiblioML format (an XML tag set based on the UniMARC standard), we then make use of XML topic maps to provide an extensible framework for visualization. We take as an example the ACM classification code and show how the OCS system displays citations in a convenient focus and context hyperbolic tree interface. We conclude by discussing future directions planned to extend the OCS system and how open citation management can supply an important piece in our inexorable march toward a worldwide digital library.

Trends and Issues in Digital Libraries

2018 ◽  
pp. 1648-1673
Author(s):  
Mercy A. Iroaganachi
Keyword(s):  
Human Computer Interaction ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Organization ◽  
Library Services ◽  
Information Discovery ◽  
Digital Collections ◽  
Detailed Review ◽  
Institutional Repositories ◽  
Digital Library Services

The study explored trends and issues in digital libraries with a view to furnish the expected audience with current happenings in this area of operations and service delivery. The chapter is a detailed review of characteristics of digital libraries considering the creation of digital collections which include conversion of retrospective materials, born digital resources and institutional repositories. The paper considered digital collections and copyright issues, benefits and issues of digital libraries, preservation of digital content. It x-rayed trends in information discovery, access and retrieval in a digital library, human-computer interaction, information organization and categorization of digital library services.

Trends and Issues in Digital Libraries

2016 ◽  
pp. 249-274
Author(s):  
Mercy A. Iroaganachi
Keyword(s):  
Human Computer Interaction ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Organization ◽  
Library Services ◽  
Information Discovery ◽  
Digital Collections ◽  
Detailed Review ◽  
Institutional Repositories ◽  
Digital Library Services

The study explored trends and issues in digital libraries with a view to furnish the expected audience with current happenings in this area of operations and service delivery. The chapter is a detailed review of characteristics of digital libraries considering the creation of digital collections which include conversion of retrospective materials, born digital resources and institutional repositories. The paper considered digital collections and copyright issues, benefits and issues of digital libraries, preservation of digital content. It x-rayed trends in information discovery, access and retrieval in a digital library, human-computer interaction, information organization and categorization of digital library services.

A New Approach Using Hidden Markov Model and Bayesian Method for Estimate of Word Types in Text Mining

2017 ◽  
Vol 8 (4) ◽  
pp. 17-29 ◽  
Author(s):  
Adem Doganer ◽  
Sinan Calik
Keyword(s):  
Text Mining ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Information Extraction ◽  
Success Rate ◽  
Bayesian Method ◽  
Hidden Markov ◽  
Text Summarization ◽  
New Approach ◽  
New Model

Determining the structure of words in the text for the operations such as automated information extraction and text summarization of the text is essential. In computers, textual analysis to define the type of the word is considered as a vital advantage. Defining the types of words provides an estimate of the sequence of words in the sentence. In this article, estimating types of Turkish words is provided by developing a Hidden Markov Model and a Bayesian-based new model. In this model, an algorithm is developed which separates the suffixes of the words and grouping the words by counts of characters that suffixes of the words receive. A text composed of 584 Turkish words is used for the testing the dependability of the model. The model has achieved a high success rate in predicting the types of Turkish words.

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