@inproceedings{f53ceed6ebc94a2d82216a8584b94462,
title = "Faceted exploring for domain knowledge over Linked Open Data",
abstract = "The rapidly increasing RDF data in the Linked Open Data (LOD) community project is a valuable resource for obtaining domain knowledge. However, RDF data of specific topics also shows a trend of being more decentralized and fragmented, which makes it difficult and inefficient for the users to get an overview of a specific topic and retrieve the desired information. In this paper, we demonstrate a novel system called KFM, which can aggregate the distributed RDF data of a topic according to the facets of this topic. KFM provides a new way for users to obtain and explore domain knowledge in the LOD cloud.",
keywords = "Data fusion, Domain knowledge, Linked Open Data, RDF",
author = "Meng Wang and Jun Liu and Wenqiang Liu and Qinghua Zheng and Wei Zhang and Lingyun Song and Siyu Yao",
year = "2014",
month = nov,
day = "3",
doi = "10.1145/2661829.2661832",
language = "英语",
series = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery",
pages = "2009--2011",
booktitle = "CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management",
note = "23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",
}