OASIcs.SLATE.2020.5.pdf
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DAOLOT: A Semantic Browser
Authors
João Bruno Silva 
,
André Santos ,
José Paulo Leal
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Part of:
Volume:
9th Symposium on Languages, Applications and Technologies (SLATE 2020)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-09-16
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Document Identifiers
Author Details
- CRACS & INESC Tec LA, Porto, Portugal
- Faculty of Sciences, University of Porto, Portugal
Cite AsGet BibTex
João Bruno Silva, André Santos, and José Paulo Leal. DAOLOT: A Semantic Browser. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 5:1-5:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.SLATE.2020.5
https://doi.org/10.4230/OASIcs.SLATE.2020.5
Abstract
The goal of the Semantic Web is to allow the software agents around us and AIs to extract information from the Internet as easily as humans do. This semantic web is a network of connected graphs, where relations between concepts and entities make up a layout that is very easy for machines to navigate.
At the moment, there are only a few tools that enable humans to navigate this new layer of the Internet, and those that exist are for the most part very specialized tools that require from the user a lot of pre-existing knowledge about the technologies behind this structure. In this article we report on the development of DAOLOT, a search engine that allows users with no previous knowledge of the semantic web to take full advantage of its information network. This paper presents its design, the algorithm behind it and the results of the validation testing conducted with users. The results of our validation testing show that DAOLOT is useful and intuitive to users, even those without any previous knowledge of the field, and provides curated information from multiple sources instantly about any topic.
Subject Classification
ACM Subject Classification
- Information systems → Web searching and information discovery
- Information systems → Resource Description Framework (RDF)
Keywords
- Semantic
- Web
- Named Entities
- Search
- SPARQL
- RDF
- COMUNICA
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