research-article

iSeS: intelligent semantic search framework

Authors:

Madhura Jayaratne,

Isuru Haththotuwa,

Charitha Dandeniya Arachchi,

Dilina Fernando,

Sajith WeerakoonAuthors Info & Claims

EATIS '12: Proceedings of the 6th Euro American Conference on Telematics and Information Systems

Pages 215 - 222

https://doi.org/10.1145/2261605.2261637

Published: 23 May 2012 Publication History

Abstract

With vast amounts of data being produced, present world is overwhelmed with information and searching for appropriate content has turned out to be harder than ever before. Semantics, which typically focuses on the relationship between signifiers, such as words, phrases, signs and symbols, and what they stand for is now being used more and more in search engines to provide the user with more meaningful content. Further it is no more the case that users are interested in search results that the majority of users would agree to, but are more interested in results being personalized to them.

In this research paper we present iSeS: Intelligent Semantic Search Framework, which is a search framework, a custom web site or an application can adapt. We focus on using underlying semantics of the content being indexed in providing more meaningful search results personalized to each user. We look into both latent semantic indexing and metadata extraction based methods for providing semantically rich search results. Collaborative filtering and how it is used to personalize search results is also explored in this paper.

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Cited By

Rajapaksha MSilva T(2019)Semantic Information Retrieval based on Topic Modeling and Community Interests Mining2019 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon.2019.8818935(60-65)Online publication date: Jul-2019
https://doi.org/10.1109/MERCon.2019.8818935
Kivikangas PIshizuka M(2012)Improving Semantic Queries by Utilizing UNL Ontology and a Graph DatabaseProceedings of the 2012 IEEE Sixth International Conference on Semantic Computing10.1109/ICSC.2012.50(83-86)Online publication date: 19-Sep-2012
https://dl.acm.org/doi/10.1109/ICSC.2012.50

iSeS: intelligent semantic search framework
1. Information systems

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Published In

cover image ACM Other conferences

EATIS '12: Proceedings of the 6th Euro American Conference on Telematics and Information Systems

May 2012

411 pages

ISBN:9781450310123

DOI:10.1145/2261605

Editor:
Rogerio Patricio Chagas do Nascimento
Universidade Federal de Sergipe, Brazil
,
General Chairs:
J. Javier Samper Zapater
Universitat de València, UVEG, Spain
,
Juan José Martínez Durá
Universitat de València, UVEG, Spain
,
Program Chair:
Vicente Ramón Tomás López
Universitat Jaume I, UJI, Castellón, Spain
,
Publications Chair:
Marta Pla Castells
Universitat de València, UVEG, Spain

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Universidad Politécnica de Valencia, Spain
UFS: Federal University of Sergipe
UNAB: Autonomous University of Bucaramanga
EATIS: Euro American Association on Telematics and Information Systems

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2012

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EATIS '12

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UFS
UNAB
EATIS

EATIS '12: Euro-American Conference on Telematics and Information Systems

May 23 - 25, 2012

Valencia, Spain

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Overall Acceptance Rate 17 of 64 submissions, 27%

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Cited By

Rajapaksha MSilva T(2019)Semantic Information Retrieval based on Topic Modeling and Community Interests Mining2019 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon.2019.8818935(60-65)Online publication date: Jul-2019
https://doi.org/10.1109/MERCon.2019.8818935
Kivikangas PIshizuka M(2012)Improving Semantic Queries by Utilizing UNL Ontology and a Graph DatabaseProceedings of the 2012 IEEE Sixth International Conference on Semantic Computing10.1109/ICSC.2012.50(83-86)Online publication date: 19-Sep-2012
https://dl.acm.org/doi/10.1109/ICSC.2012.50

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