Phone Number Extraction and Area Code Mining in Mobile Web Browsing for Smart Phones

Abstract

The phone numbers listed on a Web page displayed on a mobile phone can be useful information for instant reservations or general inquiries. Although current software technology for smart phones can recognize and highlight phone numbers on a page and auto-dial them when clicked, the extraction accuracy often drops significantly due to many cases of data that are falsely recognized as phone numbers. Furthermore, there are many situations in which the area code is missing, preventing the mobile phone from auto-dialing correctly. To resolve these problems, this paper proposes an intelligent phone number extraction and area code mining technique for smart phones in a mobile environment. A series of experiments performed using Android smart phones showed that our method greatly improved the accuracy of phone number mining and the speed of auto-dialing in a mobile Web environment.

Keywords::

• Area code mining
• Phone number extraction
• Contextual text mining

Additional information

Notes on contributors

Taehwan Kim

Taehwan Kim is a research assistant professor in the Department of Computer Science and Engineering, Hanyang University, Ansan, Korea. He received his M.S. and Ph. D. degree in Computer Science and Engineering from Hanyang University, Korea, in 2007 and 2012. His research interests include Web data mining, Web intelligence, artificial intelligence, and Semantic Web and ontology.

Joongmin Choi

Joongmin Choi received his B.S. and M.S degree in computer engineering from Seoul National University, Korea, in 1984 and 1986, respectively, and the Ph.D. degree in computer science from the State University of New York at Buffalo, USA in 1993. His research interest focuses on Web Intelligence, which is a somewhat broad concept covering the areas of Web information extraction, Web data mining, Semantic Web and ontologies, and other intelligent techniques for manipulating Web information. His other interest areas include intelligent agents, artificial intelligence, and context-aware personalization.

Jungsun Kim

Jungsun Kim received his B.S. degree in Computer Engineering from Seoul National University, Korea, in 1986. He received his M.S. and Ph.D. degrees in Electrical Engineering and Computer Engineering from Iowa State University, USA, in 1988 and 1994, respectively. He worked as a senior researcher at Electronics and Telecommunications Research Institute (ETRI), Korea. In 1996, he joined the faculty of the Department of Computer Science and Engineering, Hanyang University, where he is currently a professor. His current research interests include distributed object computing, mobile application frameworks, and machine learning.