Abstract
In the last few years, several works in the literature have addressed the problem of data extraction from Web pages. The importance of this problem derives from the fact that, once extracted, the data can be handled in a way similar to instances of a traditional database. The approaches proposed in the literature to address the problem of Web data extraction use techniques borrowed from areas such as natural language processing, languages and grammars, machine learning, information retrieval, databases, and ontologies. As a consequence, they present very distinct features and capabilities which make a direct comparison difficult to be done. In this paper, we propose a taxonomy for characterizing Web data…
Citation impact
690
total citations
- FWCI
- 75.00
- Percentile
- 100%
- References
- 40
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Data extraction
- Information retrieval
- Information extraction
- Web page
- Web modeling
- Data Web
- Data science
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.