IEPAD: information extraction based on pattern discovery
By Chia-Hui Chang, S. Lui. The Web Conference, 2001
537 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/c22e82083b78e4022d5b9d2cd4c2a2f42f73151a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- B. Liu
- Yanhong Zhai
- Weiyi Meng
- Jiying Wang
- Frederick H. Lochovsky
- Hector Garcia-Molina
- Robert L. Grossman
- Khaled Shaalan
In Computer Networks and Communications
- Weiyi Meng
- B. Liu
- Yanhong Zhai
- Mohammed Kayed
- Moheb R. Girgis
- Khaled Shaalan
- Chia-Hui Chang
- Jiying Wang
In Information Systems
- Weiyi Meng
- B. Liu
- Yanhong Zhai
- Mohammed Kayed
- Moheb R. Girgis
- Khaled Shaalan
- Chia-Hui Chang
- Jiying Wang
Citations in the corpus
- Mining data records in Web pages (2003, methodology): “EXPERIMENT RESULTS We evaluate our system (MDR) and compare it with two state-ofthe-art systems, OMINI [2], and IEPAD [3].”
- Web data extraction based on partial tree alignment (2005, methodology): “[8] proposes a string matching method.”
- Fully automatic wrapper generation for search engines (2005, methodology): “Several automated or nearly automated IE methods have been proposed recently and the most representative ones are Omini [5], the method in [12], IEPAD [6], MDR [20], RoadRunner [10], EXALG [2], DeLa [26], PickUp [8].”
- A Survey of Web Information Extraction Systems (2006, background): “IEPAD is one of the first IE systems that generalize extraction patterns from unlabeled Web pages [31].”
- Extracting structured data from Web pages (2003, background): “• IEPAD [4]: (14 collections) These represent all the collections obtained from IEPAD site [14].”
- Data extraction and label assignment for web databases (2003, methodology): “Since such information only exists in the back-end databases of the various notebook vendors, the user has to go to the web site of each notebook vendor, send his/her queries, extract the relevant information from the result web pages and compare or integrate the results manually.”