Name
Abstract | ||
|---|---|---|
It is essential for Web applications such as e-commerce portals to enrich their existing content offerings by aggregating relevant structured data (e.g., product reviews) from external Web resources. To meet this goal, in this paper, we present an algorithm for automatically extracting data records from Web pages. The algorithm uses a robust string matching technique for accurately identifying the records in the Webpage. Our experiments on diverse datasets (including datasets from third-party research projects) show that the proposed algorithm is highly effective and performs considerably better than two other state-of-the-art automatic data extraction systems. We made the proposed system publicly accessible in order for the readers to evaluate it. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15470-6_51 | AMT |
Keywords | Field | DocType |
web data record,relevant structured data,external web resource,proposed system,diverse datasets,state-of-the-art automatic data extraction,e-commerce portal,proposed algorithm,web page,web application,data record,e commerce,string matching,web pages,structured data | Data mining,Web mining,Information retrieval,Web page,Web mapping,Computer science,Data Web,Web modeling,Data extraction,Web application,Web service | Conference |
Volume | ISSN | ISBN |
6335.0 | 0302-9743 | 3-642-15469-7 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dheerendranath Mundluru | 1 | 12 | 2.16 |
| Vijay V. Raghavan | 2 | 2544 | 506.92 |
| Zonghuan Wu | 3 | 492 | 27.08 |