Authors:
Júlio Cesar dos Reis
1
;
Rodrigo Bonacin
2
and
M. Cecilia C. Baranauskas
3
Affiliations:
1
Institute of Computing (UNICAMP) and CTI Renato Archer, Brazil
;
2
CTI Renato Archer and Faculty of Campo Limpo Paulista (FACCAMP), Brazil
;
3
Institute of Computing, State University of Campinas, Brazil
Keyword(s):
Semantic Web, Semantic Search, Inclusive Social Network Services, Organisational Semiotics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Cloud Computing
;
Data Engineering
;
Enterprise Information Systems
;
Human Factors
;
Human-Computer Interaction
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Physiological Computing Systems
;
Semantic Web Technologies
;
Semiotics
;
Services Science
;
Software Agents and Internet Computing
;
Symbolic Systems
;
User Needs
Abstract:
The world is populated with many scenarios characterized by a diversity of cultures and social problems. Thus it is necessary to investigate computational solutions that respect this diversity. The use of search engines is one of the main mechanisms to provide the access to information generated in the Social Network Services (SNS). These mechanisms are currently built through lexical-syntactical processing resulting in barriers for many users to access correct and valuable information in the Web. Novel search mechanisms could effectively help people to recover and use information through Inclusive Social Networks Services (ISN), promoting the universal access to information. This paper shows results of search activities in an ISN that point out how to improve search engines considering aspects related to social and digital inclusion. Inspired in these results, we outline an approach based on Organisational Semiotics to build Web ontology, which is used by an inclusive search engine
drawn up in this paper. Actually, this proposal combines different strategies to provide better search results for all.
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