Name
Abstract | ||
|---|---|---|
We present HIGGINS, a system for Knowledge Acquisition (KA), placing emphasis on its architecture. The distinguishing characteristic and novelty of HIGGINS lies in its blending of two engines: an automated Information Extraction (IE) engine, aided by semantic resources and statistics, and a game-based Human Computing (HC) engine. We focus on KA from web pages and text sources and, in particular, on deriving relationships between entities. As a running application we utilize movie narratives, from which we wish to derive relationships among movie characters. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2487788.2487825 | WWW (Companion Volume) |
Keywords | Field | DocType |
movie narrative,knowledge acquisition,web page,distinguishing characteristic,automated information extraction,movie character,game-based human computing,semantic resource,text source,information extraction | Crowds,Architecture,World Wide Web,Information retrieval,Web page,Computer science,Human computing,Narrative,Information extraction,Novelty,Knowledge acquisition | Conference |
ISBN | Citations | PageRank |
978-1-4503-2038-2 | 2 | 0.40 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarath Kumar Kondreddi | 1 | 11 | 1.68 |
| Peter Triantafillou | 2 | 1261 | 151.76 |
| Gerhard Weikum | 3 | 12710 | 2146.01 |