TY - GEN
T1 - Representation and verification of attribute knowledge
AU - Zhang, Chunxia
AU - Niu, Zhendong
AU - Shi, Chongyang
AU - Tan, Mengdi
AU - Fu, Hongping
AU - Xu, Sheng
PY - 2013
Y1 - 2013
N2 - With the increasing growth and popularization of the Internet, knowledge extraction from the web is an important issue in the fields of web mining, ontology engineering and intelligent information processing. The availability of real big corpora and the development of technologies of internet network and machine learning make it feasible to acquire massive knowledge from the web. In addition, many web-based encyclopedias such as Wikipedia and Baidu Baike include much structured knowledge. However, knowledge qualities including the incorrectness, inconsistency, and incompleteness become a serious obstacle for the wide practical applications of those extracted and structured knowledge. In this paper, we build a taxonomy of relations between attributes of concepts, and propose a taxonomy of attribute relations driven approach to evaluating the knowledge about attribute values of attributes of entities. We also address an application of our approach to building and verifying attribute knowledge of entities in different domains.
AB - With the increasing growth and popularization of the Internet, knowledge extraction from the web is an important issue in the fields of web mining, ontology engineering and intelligent information processing. The availability of real big corpora and the development of technologies of internet network and machine learning make it feasible to acquire massive knowledge from the web. In addition, many web-based encyclopedias such as Wikipedia and Baidu Baike include much structured knowledge. However, knowledge qualities including the incorrectness, inconsistency, and incompleteness become a serious obstacle for the wide practical applications of those extracted and structured knowledge. In this paper, we build a taxonomy of relations between attributes of concepts, and propose a taxonomy of attribute relations driven approach to evaluating the knowledge about attribute values of attributes of entities. We also address an application of our approach to building and verifying attribute knowledge of entities in different domains.
KW - Taxonomy of attribute relations
KW - attribute values
KW - knowledge verification
KW - ontology verification
UR - http://www.scopus.com/inward/record.url?scp=84880751209&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39787-5_39
DO - 10.1007/978-3-642-39787-5_39
M3 - Conference contribution
AN - SCOPUS:84880751209
SN - 9783642397868
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 473
EP - 482
BT - Knowledge Science, Engineering and Management - 6th International Conference, KSEM 2013, Proceedings
PB - Springer Verlag
T2 - 6th International Conference on Knowledge Science, Engineering and Management, KSEM 2013
Y2 - 10 August 2013 through 12 August 2013
ER -