Name
Abstract | ||
|---|---|---|
A Process Query System, a new approach to representing and querying multiple hypotheses, is proposed for cross-document co-reference and linking based on existing entity extraction, co-reference and database name-matching technologies. A crucial component of linking entities across documents is the ability to recognize when different name strings are potential references to the same entity. Given the extraordinary range of variation international names can take when rendered in the Roman alphabet, this is a daunting task. The extension of name variant matching to free text will add important text mining functionality for intelligence and security informatics' toolkits. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.4018/jdm.2005010104 | JOURNAL OF DATABASE MANAGEMENT |
Keywords | Field | DocType |
co-reference,multiple hypothesis tracking,name matching,natural language processors | Data mining,Coreference,Multiple hypothesis tracking,Text mining,Information retrieval,Computer science,Multiple hypotheses,Alphabet | Journal |
Volume | Issue | ISSN |
16 | 1 | 1063-8016 |
Citations | PageRank | References |
3 | 0.54 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Thompson | 1 | 29 | 8.20 |