DocumentCode :
2591706
Title :
Combining Structured and Unstructured Information Sources for a Study of Data Quality: A Case Study of Zillow.Com
Author :
Gelman, Irit Askira ; Wu, Ningning
fYear :
2011
fDate :
4-7 Jan. 2011
Firstpage :
1
Lastpage :
12
Abstract :
Zillow is a web-based, leading real-estate information service in the US. We studied user-contributed facts in a sample of Zillow records. User-contributed information seems to improve the completeness and the level of detail of the information on Zillow.com. However, the accuracy of user-contributed facts may not be high. An investigation of the sources of error revealed several weaknesses, including conceptual challenges, information integration failures, and design deficiencies. A lack of shared, user-friendly, conceptual foundation has been found to be a significant drawback. In part, errors are a product of Zillow´s wide geographic coverage and highly networked operation. In addition, important peculiarities of a property are often unknown to the public. Information about such peculiarities is typically shared by a small group of people, whose levels of expertise and stakes in that property, and in real estate in general, may differ. This environment poses a challenge for harnessing the collective intelligence. The results demonstrate the success of our unique evaluation strategy, which utilizes a systematic review of a rich set of online sources. A similar strategy may also be useful for large-scale error detection and correction, if an efficient automated equivalent is developed to implement it.
Keywords :
Internet; data analysis; error detection; information services; real estate data processing; records management; Web-based real-estate information service; Zillow records; Zillow.Com; automated equivalent; collective intelligence; data quality; design deficiency; error correction; geographic coverage; highly networked operation; information integration failures; large-scale error detection; online sources; real estate; unique evaluation strategy; unstructured information sources; user-contributed facts; user-contributed information; Accuracy; Error analysis; Information services; Internet; Loans and mortgages; Marketing and sales; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2011 44th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4244-9618-1
Type :
conf
DOI :
10.1109/HICSS.2011.115
Filename :
5718619
Link To Document :
بازگشت