| entity-relation-discovery-and-semantic-search |
hasPrincipalInvestigator |
62e0e9cf253e2a24215b43d3196d8aaf |
| entity-relation-discovery-and-semantic-search |
type |
Project |
| entity-relation-discovery-and-semantic-search |
comment |
Entity based semantic search and knowledge management |
| entity-relation-discovery-and-semantic-search |
label |
Entity Relation Discovery and Semantic Search |
| entity-relation-discovery-and-semantic-search |
depiction |
erdss.gif |
| entity-relation-discovery-and-semantic-search |
name |
Entity Relation Discovery and Semantic Search |
| entity-relation-discovery-and-semantic-search |
Description |
This project is funded in part by IBM through an IBM 2006 UIMA (Unstructured Information
Management Framework) Innovation Award. It aims to develop novel and effective mechanisms
to discover associations between automatically extracted named entities from text
documents. The discovered associations can be used to support user's entity based
semantic search and knowledge management. |
| entity-relation-discovery-and-semantic-search |
in dataset |
kmifoaf |
| entity-relation-discovery-and-semantic-search |
organization |
entity-relation-discovery-and-semantic-search |
| entity-relation-discovery-and-semantic-search |
organization |
entity-relation-discovery-and-semantic-search |
