Difference between revisions of "Dft-Extractor: a System to Extract Domain-Specific Faceted Taxonomies from Wikipedia"
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| − | '''Dft-Extractor: a System to Extract Domain-Specific Faceted Taxonomies from Wikipedia''' - scientific work related to Wikipedia quality published in 2013, written by Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang and Boqin Feng. | + | '''Dft-Extractor: a System to Extract Domain-Specific Faceted Taxonomies from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Bifan Wei]], [[Jun Liu]], [[Jian Ma]], [[Qinghua Zheng]], [[Wei Zhang]] and [[Boqin Feng]]. |
== Overview == | == Overview == | ||
| − | Extracting faceted taxonomies from the Web has received increasing attention in recent years from the web mining community. Authors demonstrate in this study a novel system called DFT-Extractor, which automatically constructs domain-specific faceted taxonomies from Wikipedia in three steps: 1) It crawls domain terms from Wikipedia by using a modified topical crawler. 2) Then it exploits a classification model to extract hyponym relations with the use of motif-based features. 3) Finally, it constructs a faceted taxonomy by applying a community detection algorithm and a group of heuristic rules. DFT-Extractor also provides a graphical user interface to visualize the learned hyponym relations and the tree structure of taxonomies. | + | Extracting faceted taxonomies from the Web has received increasing attention in recent years from the web mining community. Authors demonstrate in this study a novel system called DFT-Extractor, which automatically constructs domain-specific faceted taxonomies from [[Wikipedia]] in three steps: 1) It crawls domain terms from Wikipedia by using a modified topical crawler. 2) Then it exploits a classification model to extract hyponym relations with the use of motif-based [[features]]. 3) Finally, it constructs a faceted taxonomy by applying a community detection algorithm and a group of heuristic rules. DFT-Extractor also provides a graphical user interface to visualize the learned hyponym relations and the tree structure of taxonomies. |
Revision as of 08:32, 16 January 2020
Dft-Extractor: a System to Extract Domain-Specific Faceted Taxonomies from Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang and Boqin Feng.
Overview
Extracting faceted taxonomies from the Web has received increasing attention in recent years from the web mining community. Authors demonstrate in this study a novel system called DFT-Extractor, which automatically constructs domain-specific faceted taxonomies from Wikipedia in three steps: 1) It crawls domain terms from Wikipedia by using a modified topical crawler. 2) Then it exploits a classification model to extract hyponym relations with the use of motif-based features. 3) Finally, it constructs a faceted taxonomy by applying a community detection algorithm and a group of heuristic rules. DFT-Extractor also provides a graphical user interface to visualize the learned hyponym relations and the tree structure of taxonomies.
