|Extracting structured information from wikipedia articles to populate infoboxes|
|Author(s)||Lange D., Bohm C., Naumann F.|
|Published in||International Conference on Information and Knowledge Management, Proceedings|
|Keyword(s)||Information extraction, Linked data, Wikipedia (Extra: Attribute values, Information Extraction, Linked datum, Structured information, Wikipedia, Knowledge management, Information analysis)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Extracting structured information from wikipedia articles to populate infoboxes is a 2010 conference paper written in English by Lange D., Bohm C., Naumann F. and published in International Conference on Information and Knowledge Management, Proceedings.
Roughly every third Wikipedia article contains an infobox - a table that displays important facts about the subject in attribute-value form. The schema of an infobox, i.e., the attributes that can be expressed for a concept, is defined by an infobox template. Often, authors do not specify all template attributes, resulting in incomplete infoboxes. With iPopulator, we introduce a system that automatically populates infoboxes of Wikipedia articles by extracting attribute values from the article's text. In contrast to prior work, iPopulator detects and exploits the structure of attribute values to independently extract value parts. We have tested iPopulator on the entire set of infobox templates and provide a detailed analysis of its effectiveness. For instance, we achieve an average extraction precision of 91% for 1,727 distinct infobox template attributes.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers. Cited 4 time(s)