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| Content Provider | Springer Nature Link |
|---|---|
| Author | Han, Jingyu Chen, Kejia Wang, Jianing |
| Copyright Year | 2014 |
| Abstract | The Web article has been recognized as the most popular data source for its convenience and abundance of information. Yet its data quality is compromised as most of existing quality assessment approaches rely mainly on the syntax or lexicon, rather than the semantics. We propose a Fact-based Quality Assessment (FQA) approach, which captures the data quality based on content semantics by gleaning the Web community knowledge. The FQA can automatically rank the Web data quality in terms of the three most important quality dimensions accuracy, completeness and freshness. Furthermore, the semantic dimensions can well complement existing works based on syntactical or lexical features. Given one source article, the FQA starts with the identification of an alternative context by collecting articles of the same topics. Then, the dimension baselines of accuracy, completeness and freshness are extracted in the alternative context. Finally, the data quality is determined by comparing the semantic corpus of the source article with the established dimension baselines. The performance of our FQA is verified in the experiments. |
| Ending Page | 537 |
| Page Count | 29 |
| Starting Page | 509 |
| File Format | |
| ISSN | 0010485X |
| e-ISSN | 14365057 |
| Journal | Computing |
| Issue Number | 5 |
| Volume Number | 97 |
| Language | English |
| Publisher | Springer Vienna |
| Publisher Date | 2014-11-26 |
| Publisher Place | Vienna |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Knowledge representation Web article Data quality Fact Information systems (hypertext navigation, interfaces, decision support, etc.) Accuracy Software Engineering Completeness Computer Application in Administrative Data Processing Computer Science Artificial Intelligence (incl. Robotics) Freshness Semantic corpus Information Systems Applications (incl. Internet) Computer Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Computational Mathematics Numerical Analysis Computer Science Applications Software |
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