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JCR Impact Factor: 0.700
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SCOPUS CiteScore: 1.8
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  2/2009 - 3

Knowledge Acquisition from Historical Documents for Preserving Transylvanian Cultural Heritage

SALOMIE, I. See more information about SALOMIE, I. on SCOPUS See more information about SALOMIE, I. on IEEExplore See more information about SALOMIE, I. on Web of Science, DINSOREANU, M. See more information about  DINSOREANU, M. on SCOPUS See more information about  DINSOREANU, M. on SCOPUS See more information about DINSOREANU, M. on Web of Science, POP, C. See more information about  POP, C. on SCOPUS See more information about  POP, C. on SCOPUS See more information about POP, C. on Web of Science, SUCIU, S. See more information about SUCIU, S. on SCOPUS See more information about SUCIU, S. on SCOPUS See more information about SUCIU, S. on Web of Science
 
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Download PDF pdficon (476 KB) | Citation | Downloads: 1,800 | Views: 5,697

Author keywords
knowledge acquisition, lexical annotation, knowledge retrieval, ontology, semantic annotation

References keywords
information(6), language(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2009-06-02
Volume 9, Issue 2, Year 2009, On page(s): 16 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.02003
Web of Science Accession Number: 000268723600003
SCOPUS ID: 70349187192

Abstract
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This paper proposes a solution for preserving the cultural heritage by performing knowledge acquisition from historical documents. We developed a system that gathers knowledge by processing the content of historical documents to enable knowledge retrieval as response to ontologically-guided queries. Knowledge acquisition, one of the main workflows in our system, aims to semantically annotate the content of historical documents and to enrich the domain ontology through lexical annotation and knowledge extraction processes. We use two types of rules in knowledge extraction, one dealing with extracting the relevant information from the documents' content and another one for mapping the extracted information to ontology concepts and properties. Our work was validated on documents available in the Cluj County National Archives addressing the Transylvanian medieval history.


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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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