scholarly journals Current trends in information retrieval systems: review of fuzzy set theory and fuzzy Boolean retrieval models

2020 ◽  
Vol 2 (2) ◽  
pp. 48-56
Author(s):  
Jonathan N. Chimah ◽  
Friday Ibiam Ude
Keyword(s):  
Information Retrieval ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Information Needs ◽  
Query Languages ◽  
Retrieval Models ◽  
Current Trends ◽  
Retrieval Systems ◽  
Information Retrieval Systems

This paper reviews the concept and goal of Information Retrieval Systems (IRSs). It also explains the synonymous concepts in Information Retrieval (IR)which include such terms as: imprecision, vagueness, uncertainty, and inconsistency. Current trends in IRSs are discussed. Fuzzy Set Theory, Fuzzy Retrieval Modelsare reviewed. The paper also discusses extensions of Fuzzy Boolean Retrieval Models including Fuzzy techniques for documents’ indexingandFlexible query languages. Fuzzy associative mechanisms were identified to include:(1)fuzzy pseudothesauri and fuzzy ontologies which can be used to contextualize the search by expanding the set of index terms of documents;(2)an alternative use of fuzzy pseudothesarui and fuzzy ontologies is to expand the query with related terms by taking into account their varying importance of an additional termand (3)fuzzy clustering techniques, where each document can be placed within several clusters with a given strength of belonging to each cluster, can be used to expand the set of the documents retrieved in response to a query.The paper concludesby recommending that in an electronic library environment, the librarians and information scientists should acquaint themselves with these terms in order to be more equipped in helping library users retrieve online documents relevant to their information needs.

scholarly journals Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space

1997 ◽  
pp. 13-26 ◽  
Author(s):  
David Johnson ◽  
Myke Gluck
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
Data Retrieval ◽  
Query Languages ◽  
Geographic Information ◽  
Geographic Information Retrieval ◽  
Retrieval Systems ◽  
The World

This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.

Fuzzy XQuery

2015 ◽  
pp. 158-198
Author(s):  
José Ángel Labbad ◽  
Ricardo R. Monascal ◽  
Leonid Tineo
Keyword(s):  
Performance Analysis ◽  
Open Source ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Database Systems ◽  
Query Languages ◽  
Xml Data ◽  
Fuzzy Query ◽  
Query Engine

Traditional database systems and languages are very rigid. XML data and query languages are not the exception. Fuzzy set theory is an appropriate tool for solving this problem. In this sense, Fuzzy XQuery was proposed as an extension of the XQUERY standard. This language defines the xs:truth datatype, the xml:truth attribute and allows the definition and use of fuzzy terms in queries. The main goal of this chapter is to show a high coupling implementation of Fuzzy XQuery within eXist-db, an open source XML DBMS. This extension strategy could also be used with other similar tools. This chapter also presents a statistical performance analysis of the extended fuzzy query engine using the XMark benchmark with user defined fuzzy terms. The study presents promising results.

Online Information Retrieval Systems Trending From Evolutionary to Revolutionary Approach

2019 ◽  
pp. 303-317
Author(s):  
Zahid Ashraf Wani ◽  
Huma Shafiq
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Online Information ◽  
Retrieval Systems ◽  
Diverse Species ◽  
Different Types ◽  
The Future ◽  
Information Retrieval Systems ◽  
Information Professionals ◽  
The Web

Nowadays, we all rely on cyberspace for our information needs. We make use of different types of search tools. Some of them have specialization in a specific format or two, while few can crawl a good portion of the web irrespective of formats. Therefore, it is very imperative for information professionals to have thorough understandings of these tools. As such, the chapter is an endeavor to delve deep and highlight various trends in online information retrieval from primitive to modern ones. The chapter also made an effort to envisage the future requirements and expectation keeping in view the ever-increasing dependence on diverse species of information retrieval tools.

scholarly journals Sistemas de informação e linguagens documentárias no contexto dos regimes de informação: um exercício conceitual

2006 ◽  
Vol 4 (1) ◽  
pp. 102 ◽  
Author(s):  
Roberto J.G. Unger ◽  
Isa Maria Freire
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Social Dynamics ◽  
Information Sources ◽  
Context Information ◽  
Retrieval Systems ◽  
The Social ◽  
Information Retrieval Systems ◽  
Per Se ◽  
Source Of Information

O artigo apresenta o conceito de regime de informação aos gestores de informação, como contribuição aos processos de adaptação e adequação de sistemas de informação e linguagens documentárias para atender às necessidades informacionais dos usuários. Regimes de informação são modos de produção informacional dominantes numa formação econômico-social que pressupõem, necessariamente, em seu contexto fontes de informação que são disseminadas e exercem influência no contexto social em que estão estabelecidas. Nesse aspecto, as sociedades têm regimes de informação através dos quais organizam a produção material e simbólica e representam a dinâmica das relações sociais. Dentre as diversas formas de manifestações institucionais atuais, destacam-se os sistemas de recuperação da informação, a manifestação per se do fenômeno que move o regime. Os sistemas de recuperação da informação, por sua vez, usam linguagens documentárias para organizar e comunicar a informação organizada nos inúmeros “agregados de informação”, que Barreto (1996) define como “estruturas” que armazenam “estoques de informação” e podem atuar como “agentes”, ou “mediadores”, entre uma fonte de informação e seus usuários. Abstract The article presents the concept of regime of information to information managers as a contribution for the proccesses of adaptation and adjustment of information systems and documentary language to really attend the information needs of users. Regimes of information are dominants modules of informational production in economic-social formation that presuppose, necessarily, in its context information sources wich are disseminated and put in actions influences in the structure which they are established. Under these circumstances, societies have regimes of information through whom organize symbolic and material production and represent the social dynamics relations. In the midst of several kinds of actual institutional manifestations, distinguish the information retrieval systems, the expression per se of the phenomenon that moves the regime. Under this configuration, the information retrieval systems make use of documentary language to organize, describe and communicate provided information in innumerable aggregates of information that, according Barreto (1996), “are structures which harvest “supply of information” and they operate as “agents” or “mediators” between a source of information and their users”.

Information Retrieval Models

2017 ◽  
pp. 17-42 ◽  
Author(s):  
Saruladha Krishnamurthy ◽  
Akila V
Keyword(s):  
Information Retrieval ◽  
Research Field ◽  
Process Models ◽  
Retrieval Models ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
External Sources ◽  
Active Research ◽  
Cross Lingual

Information retrieval is currently an active research field with the evolution of World wide web. The objective of this chapter is to provide an insight into the information retrieval definitions, process, models. Further how traditional information retrieval has evolved and adapted for search engines is also discussed. The information retrieval models have not only been used for search purpose it also supports cross lingual translation and retrieval tasks. This chapter also outlines the CLIR process in a brief manner. The tools which are usually used for experimental and research purpose is also discussed. This chapter is organized as Introduction to the concepts of information retrieval. Description of the information retrieval process, the information retrieval models, the role of external sources like ontologies in information retrieval systems. Finally the chapter provides an overview of CLIR and the tools used in developing IR systems is mentioned. Further the latest research directions in IR is explained.

AN ORDINAL INFORMATION RETRIEVAL MODEL

2001 ◽  
Vol 09 (supp01) ◽  
pp. 63-75 ◽  
Author(s):  
GLORIA BORDOGNA ◽  
GABRIELLA PASI
Keyword(s):  
Information Retrieval ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Query Evaluation ◽  
Retrieval Model ◽  
Ordinal Information ◽  
Index Terms ◽  
Evaluation Mechanism ◽  
Definition Of

In this paper an ordinal Information Retrieval model is proposed, which is formalised within fuzzy set theory and is based on the notion of linguistic granules of information. Linguistic expressions are defined to represent and manage the importance of both the index terms as descriptors of the information items and the query terms (content selectors) as descriptors of users' needs. The advantage of this approach with respect to the (numeric) fuzzy IR models is that the query evaluation mechanism and the definition of the importance semantics are simplified.

The use of fuzzy set theory in information retrieval and databases: A survey

1986 ◽  
Vol 37 (5) ◽  
pp. 341-345 ◽  
Author(s):  
Etienne E. Kerre ◽  
Rembrand B. R. C. Zenner ◽  
Rita M. M. De Caluwe
Keyword(s):  
Information Retrieval ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory

scholarly journals Information Retrieval Models

2018 ◽  
pp. 995-1015
Author(s):  
Saruladha Krishnamurthy ◽  
Akila V
Keyword(s):  
Information Retrieval ◽  
Research Field ◽  
Process Models ◽  
Retrieval Models ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
External Sources ◽  
Active Research ◽  
Cross Lingual

Information retrieval is currently an active research field with the evolution of World wide web. The objective of this chapter is to provide an insight into the information retrieval definitions, process, models. Further how traditional information retrieval has evolved and adapted for search engines is also discussed. The information retrieval models have not only been used for search purpose it also supports cross lingual translation and retrieval tasks. This chapter also outlines the CLIR process in a brief manner. The tools which are usually used for experimental and research purpose is also discussed. This chapter is organized as Introduction to the concepts of information retrieval. Description of the information retrieval process, the information retrieval models, the role of external sources like ontologies in information retrieval systems. Finally the chapter provides an overview of CLIR and the tools used in developing IR systems is mentioned. Further the latest research directions in IR is explained.

Processing of Queries with Fuzzy Similarity Domains

2015 ◽  
pp. 88-128
Author(s):  
Soraya O. Carrasquel ◽  
Ricardo R. Monascal ◽  
Rosseline Rodríguez ◽  
Leonid Tineo
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Data Model ◽  
Formal Semantics ◽  
Query Languages ◽  
User Preferences ◽  
Similarity Relation ◽  
Fuzzy Similarity ◽  
Type 3

There are some data models and query languages based on the application of fuzzy set theory. Their goal is to provide more flexible DBMS that allow the expression of user preferences in querying as well as imprecision in data. In this sense, the FuzzyEER data model proposes four kinds of fuzzy attributes. One of them, named Type 3, consists of a set of labels provided of a similarity relation. An extension of SQL, named FSQL, allows the expression and use of fuzzy attributes. Nevertheless, FSQL does not allow using fuzzy attributes in some clauses based on data ordering, due to semantics problem. This chapter presents a solution for this problem in case of Type 3 fuzzy attributes. Main contribution consists in how to process queries involving such attributes by means of an extension to an existing RDBMS. Formal semantics, grammar, catalogue definition and translation schemas are contained in this chapter.

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