Extracting geographic features from the Internet: A geographic information mining framework
| Autor: | Yao-Yi Chiang, Puhai Yang, Ying Zhang, Craig A. Knoblock, Qunfei Ma, Xiang Hu, Minghe Gao, Xin Zhang |
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| Rok vydání: | 2019 |
| Předmět: |
Information Systems and Management
Information retrieval Process (engineering) business.industry Computer science 02 engineering and technology Management Information Systems Set (abstract data type) Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering Information mining 020201 artificial intelligence & image processing The Internet business Software |
| Zdroj: | Knowledge-Based Systems. 174:57-72 |
| ISSN: | 0950-7051 |
| Popis: | In this paper, we propose a Geographic Information Mining framework to contribute some exploratory results concerning harvesting the featured place information entities from the Web. In the framework, we suggest an iterative geographic information mining model reflecting the data evolution along the mining process. Associating the iterations, we propose a set of methodologies and integrate them into the processing onto solving the critical issues concerning collecting data, filtering irrelevant samples and extracting featured entities. According to the experiments, the contribution brings in a sound systematic solution to enrich the existing digital gazetteers as complete as Google Maps. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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