scholarly journals Quem@PUC - A tool to find researchers at PUC-Rio

2021 ◽  
Author(s):  
Mariana D. A. Salgueiro ◽  
Veronica dos Santos ◽  
André L. C. Rêgo ◽  
Daniel S. Guimarães ◽  
Edward H. Haeusler ◽  
...  
Keyword(s):  
Retrieval System ◽  
Information Retrieval System ◽  
Free Text ◽  
Text Indexing ◽  
Teaching Activities ◽  
Search Results ◽  
Research And Teaching ◽  
Nosql Database ◽  
Keyword List ◽  
The Web

Quem@PUC is an Information Retrieval System available on the Web that allows searching for researchers and professors based on a keyword list of research related terms. It publicizes research and teaching activities from the PUC-Rio community to society in general. The idea is to integrate information from professors from administrative systems, courses offered, and researchers’ Lattes CVs. Data sources are converted to RDF format using domain ontologies, then stored in a NoSQL database that supports native free-text indexing on triple objects. Search results include names, academic papers, teaching activities, and contact links.

How well does Google work with Persian documents?

2016 ◽  
Vol 43 (3) ◽  
pp. 316-327 ◽  
Author(s):  
Mohammad Sadeghi ◽  
Jesús Vegas
Keyword(s):  
Information Retrieval ◽  
Search Engine ◽  
Morphological Analysis ◽  
Retrieval System ◽  
Relevant Information ◽  
Information Retrieval System ◽  
Search Results ◽  
Persian Language ◽  
Google Search ◽  
The Web

The performance evaluation of an information retrieval system is a decisive aspect of the measure of the improvements in search technology. The Google search engine, as a tool for retrieving information on the Web, is used by almost 92% of Iranian users. The purpose of this paper is to study Google’s performance in retrieving relevant information from Persian documents. The information retrieval effectiveness is based on the precision measures of the search results done to a website that we have built with the documents of a TREC standard corpus. We asked Google for 100 topics available on the corpus and we compared the retrieved webpages with the relevant documents. The obtained results indicated that the morphological analysis of the Persian language is not fully taken into account by the Google search engine. The incorrect text tokenisation, considering the stop words as the content keywords of a document and the wrong ‘variants encountered’ of words found by Google are the main reasons that affect the relevance of the Persian information retrieval on the Web for this search engine.

Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics

2011 ◽  
pp. 226-232
Author(s):  
Ki Jung Lee
Keyword(s):  
Information Retrieval ◽  
Computational Linguistics ◽  
Information Structure ◽  
Information Needs ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Search Results ◽  
Medical Information Retrieval ◽  
On Line

With the increased use of Internet, a large number of consumers first consult on line resources for their healthcare decisions. The problem of the existing information structure primarily lies in the fact that the vocabulary used in consumer queries is intrinsically different from the vocabulary represented in medical literature. Consequently, the medical information retrieval often provides poor search results. Since consumers make medical decisions based on the search results, building an effective information retrieval system becomes an essential issue. By reviewing the foundational concepts and application components of medical information retrieval, this paper will contribute to a body of research that seeks appropriate answers to a question like “How can we design a medical information retrieval system that can satisfy consumer’s information needs?”

A Natural Language Information Retrieval System

1968 ◽  
Vol 7 (01) ◽  
pp. 8-16 ◽  
Author(s):  
H. Jacobs
Keyword(s):  
Information Retrieval ◽  
Natural Language ◽  
Hierarchical Structure ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Input Output ◽  
Textual Information ◽  
Search Results ◽  
Simple Language ◽  
Word Content

This paper describes a system for dealing with a certain kind of textual information. The system has been in operation for about one and a half years. It also indicates the nature of a new and greatly expanded system presently under development.The first system consists essentially of three parts, of which the most important is a thesaurus processor. The assumption is made that document content depends only on word content and that word relationships are defined by an hierarchical structure. The function of the thesaurus processor is to provide a simple language for developing and changing the thesaurus, whenever change is necessary. The remaining parts of the first system are a document processor for updating document files, and a search processor for batch requests which must scan the entire document file. Some statistics are given on performance of the system.The second system includes a thesaurus processor of expanded capability. It also includes a newly developed search language, which can be used to scan records for complex patterns of events. Input-output processing of records and of search results is left to the user of the system.

An Information Retrieval System Based on Portable Device

2013 ◽  
Vol 712-715 ◽  
pp. 2706-2711
Author(s):  
Xiao Qing Yu ◽  
Wen Gen Wang ◽  
Jian Hua Shi ◽  
Yun Hui Wang
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Relevant Information ◽  
Information Retrieval System ◽  
Text Indexing ◽  
Traditional System ◽  
Related Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Audio Information

Information retrieval is the activity to organize information in a certain way, and according to the users demand to find out the related information from a collection of resources. Retrieval process and technology can be based on metadata or full-text indexing. Most of the relevant information retrieval systems are devised on the computer. However, with the highly development of the embedded technology, some popular application have been developed on the platform. In this paper, we will introduce an information retrieval system on the iOS platform which is more convenient, practical, and effective compared with the traditional system. And we will introduce an application based on this system design. The experiments shown that this system was exactly effective utilized to retrieval audio information.

scholarly journals Extracting Network Structure for International and Malaysia Website via Random Walk

2019 ◽  
Vol 12 ◽  
pp. 1-10
Author(s):  
Kar Tim Chan
Keyword(s):  
Random Walk ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Information Network ◽  
Random Walk Process ◽  
Complex Information ◽  
The World ◽  
Centrality Analysis ◽  
Domain Level ◽  
The Web

World Wide Web is an information retrieval system accessible via the Internet. Since all the web resources and documents are interlinks with hypertext links, it formed a huge and complex information network. Besides information, the web is also a primary tool for commercial, entertainment and connecting people around the world. Hence, studying its network topology will give us a better understanding of the sociology of content on the web as well as the possibility of predicting new emerging phenomena. In this paper, we construct networks by using random walk process that traverses the web at two popular websites, namely google.com (global) and mudah.my (local). We perform measurement such as degree distribution, diameter and average path length on the networks to determine various structural properties. We also analyse the network at the domain level to identify some top-level domains appearing in both networks in order to understand the connectivity of the web in different regions. Using centrality analysis, we also reveal some important and popular websites and domain from the networks.

Novel Approaches for Integrating MART1 Clustering Based Pre-Fetching Technique with Web Caching

2013 ◽  
Vol 8 (2) ◽  
pp. 18-32 ◽  
Author(s):  
Sathiyamoorthi ◽  
Murali Bhaskaran
Keyword(s):  
Retrieval System ◽  
Information Retrieval System ◽  
Web Caching ◽  
Multiple Objects ◽  
Web Based ◽  
Spatial Locality ◽  
Web Objects ◽  
Web Cache ◽  
Novel Algorithms ◽  
The Web

Web caching and Web pre-fetching are two important techniques for improving the performance of Web based information retrieval system. These two techniques would complement each other, since Web caching provides temporal locality whereas Web pre-fetching provides spatial locality of Web objects. However, if the web caching and pre-fetching are integrated inefficiently, this might cause increasing the network traffic as well as the Web server load. Conventional policies are most suitable only for memory caching since it involves fixed page size. But when one deals with web caching which involves pages of different size. Hence one need an efficient algorithm that works better in web cache environment. Moreover conventional replacement policies are not suitable in clustering based pre-fetching environment since multiple objects were pre-fetched. Hence, it cannot be handled by conventional algorithms. Therefore, care must be taken while integrating web caching with web pre-fetching technique in order to overcome these limitations. In this paper, novel algorithms have been proposed for integrating web caching with clustering based pre-fetching technique. Here Modified ART1 has been used for clustering based pre-fetching technique. The proposed algorithm outperforms the traditional algorithms in terms of hit rate and number of objects to be pre-fetched. Hence saves bandwidth.

Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics

2010 ◽  
pp. 758-765 ◽  
Author(s):  
Ki Jung Lee
Keyword(s):  
Information Retrieval ◽  
Computational Linguistics ◽  
Information Structure ◽  
Information Needs ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Search Results ◽  
Medical Information Retrieval ◽  
On Line

With the increased use of Internet, a large number of consumers first consult on line resources for their healthcare decisions. The problem of the existing information structure primarily lies in the fact that the vocabulary used in consumer queries is intrinsically different from the vocabulary represented in medical literature. Consequently, the medical information retrieval often provides poor search results. Since consumers make medical decisions based on the search results, building an effective information retrieval system becomes an essential issue. By reviewing the foundational concepts and application components of medical information retrieval, this paper will contribute to a body of research that seeks appropriate answers to a question like “How can we design a medical information retrieval system that can satisfy consumer’s information needs?”

Search for Information in Text Files

2020 ◽  
pp. 69-77
Author(s):  
Mouhcine El Hassani ◽  
Noureddine Falih ◽  
Belaid Bouikhalene
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Knowledge Extraction ◽  
Information Retrieval System ◽  
Extraction System ◽  
Text Documents ◽  
The Subject ◽  
Search For Information ◽  
General Architecture ◽  
The Web

As information becomes increasingly abundant and accessible on the web, researchers do not have a need to go to excavate books in the libraries. These require a knowledge extraction system from the text (KEST). The goal of authors in this chapter is to identify the needs of a person to do a search in a text, which can be unstructured, and retrieve the terms of information related to the subject of research then structure them into classes of useful information. These may subsequently identify the general architecture of an information retrieval system from text documents in order to develop it and finally identify the parameters to evaluate its performance and the results retrieved.

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