@inproceedings{6cb9a3b95e754d1abd50d86942ac8d51,
title = "Research on proposals and trends in the architectures of semantic search engines: A systematic literature review",
abstract = "Semantic web technologies have gained some spot-light in recent years, mostly explained by the spread of mobile devices and broadband Internet access. As once envisioned by Tim Berners-Lee, semantic web technologies have fostered the development of standards that enable, in turn, the emergence of semantic search engines that give users the information they are looking for. This paper presents the results of a systematic literature review that focuses on understanding the proposals on the semantic search engines from an architectural point of view. From the results it is possible to say that most of the studies propose an integral solution for their users where their requirements, the context and the modules that comprise the search engine have a great role to play. Ontologies and knowledge also play an important role in these architectures as they evolve, enabling a great myriad of solutions that respond in a better way to the users' expectations.",
keywords = "Semantic web, knowledge, knowledge representation, ontologies, semantic search engines, software architecture, systematic literature review",
author = "Jorge Morales and Andres Melgar",
note = "Publisher Copyright: {\textcopyright} 2017 PTI.; 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017 ; Conference date: 03-09-2017 Through 06-09-2017",
year = "2017",
month = nov,
day = "10",
doi = "10.15439/2017F88",
language = "English",
series = "Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "271--280",
editor = "Maria Ganzha and Leszek Maciaszek and Marcin Paprzycki",
booktitle = "Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017",
}