TY - JOUR
T1 - Refining the Relationships among Historical Figures by Implementing Inference Rules in SWRL
AU - Ariyani, Nurul Fajrin
AU - Saralita, Madis
AU - Sarwosri,
AU - Sarno, Riyanarto
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/3/13
Y1 - 2018/3/13
N2 - The biography of historical figures is often fascinating to be known. Everything about their character, work, invention, and personal life sometimes are presented in their biography. The social and family relationships among historical figures also put into concern, especially for political figures, heroes, kings or persons who have ever been ruled a monarchy in their past. Some biographies can be found in Wikipedia as articles. Most of the social and family relationship contents of these figures are not completely depicted due to a various article's contributors and sources. Fortunately, the missing relatives of a person might reside in the other figures' biography in different pages. Each Wikipedia article has metadata which represents its essential information of content. By processing the metadata obtained from DBpedia and composing the inferencing rules (in the form of ontology) to identify the relationships content, it can generate several new inferred facts that complement the existing relationships. This work proposes a methodology for finding missing relationships among historical figures using inference rules in an ontology. As a result, our method can present new facts about the relationships that absent in the existing Wikipedia articles.
AB - The biography of historical figures is often fascinating to be known. Everything about their character, work, invention, and personal life sometimes are presented in their biography. The social and family relationships among historical figures also put into concern, especially for political figures, heroes, kings or persons who have ever been ruled a monarchy in their past. Some biographies can be found in Wikipedia as articles. Most of the social and family relationship contents of these figures are not completely depicted due to a various article's contributors and sources. Fortunately, the missing relatives of a person might reside in the other figures' biography in different pages. Each Wikipedia article has metadata which represents its essential information of content. By processing the metadata obtained from DBpedia and composing the inferencing rules (in the form of ontology) to identify the relationships content, it can generate several new inferred facts that complement the existing relationships. This work proposes a methodology for finding missing relationships among historical figures using inference rules in an ontology. As a result, our method can present new facts about the relationships that absent in the existing Wikipedia articles.
UR - http://www.scopus.com/inward/record.url?scp=85044510021&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/325/1/012024
DO - 10.1088/1757-899X/325/1/012024
M3 - Conference article
AN - SCOPUS:85044510021
SN - 1757-8981
VL - 325
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012024
T2 - International Conference on Information Technology and Digital Applications 2017, ICITDA 2017
Y2 - 8 November 2017 through 9 November 2017
ER -