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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chu, Eric Gokhale, Chaitanya Chen, Ting Chai, Xiaoyong Doan, AnHai Naughton, Jeffrey F. Vuong, Ba-Quy DeRose, Pedro Gao, Byron Huang, Jiansheng Baid, Akanksha Ramakrishnan, Raghu Chen, Fei Shen, Warren |
| Abstract | Over the past few years, we have been trying to build an end-to-end system at Wisconsin to manage unstructured data, using extraction, integration, and user interaction. This paper describes the key information extraction (IE) challenges that we have run into, and sketches our solutions. We discuss in particular developing a declarative IE language, optimizing for this language, generating IE provenance, incorporating user feedback into the IE process, developing a novel wiki-based user interface for feedback, best-effort IE, pushing IE into RDBMSs, and more. Our work suggests that IE in managing unstructured data can open up many interesting research challenges, and that these challenges can greatly benefit from the wealth of work on managing structured data that has been carried out by the database community. |
| Starting Page | 14 |
| Ending Page | 20 |
| Page Count | 7 |
| File Format | |
| ISSN | 01635808 |
| DOI | 10.1145/1519103.1519106 |
| Journal | ACM SIGMOD Record (SGMD) |
| Volume Number | 37 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1999-06-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Software |
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