- From: <Rafi.Shachar@reuters.com>
- Date: Tue, 2 Feb 2010 20:30:43 +0000
- To: samwald@gmx.at, public-lod@w3.org
Matthias, OpenCalais does have links to DBpedia URIs for large subset of entities. The DBpedia URIs are not included in OpenCalais output but in the LinkedData endpoint. For example, http://d.opencalais.com/er/geo/city/ralg-geo1/f08025f6-8e95-c3ff-2909-0a 5219ed3bfa The entities which have links to DBpedia are documented here: http://www.opencalais.com/documentation/linked-data-entities Rafi -----Original Message----- From: public-lod-request@w3.org [mailto:public-lod-request@w3.org] On Behalf Of Matthias Samwald Sent: Tuesday, February 02, 2010 2:26 PM To: public-lod@w3.org Subject: DBpedia-based entity recognition service / tool? Dear LOD community, I would be glad to hear your advice on how to best accomplish a simple task: extracting DBpedia entities (identified with DBpedia URIs) from a string of text. With good accuracy and recall, possibly with some options to constraint the recognized entities to some subset of DBpedia, based on categories. The tool or service should be performant enough to process large numbers of strings in a reasonable amount of time. Given the prolific creation of tiny tools and services in this community I am puzzled about my inability to find anything that accomplishes this task. Could you point me to something like that? Are there tools/services for Wikipedia that I could use? Zemanta seems to be too much geared towards 'enhanced blogging', while OpenCalais does not return Wikipedia/DBpedia identifiers. Please correct me if I am wrong. Cheers, Matthias This email was sent to you by Thomson Reuters, the global news and information company. Any views expressed in this message are those of the individual sender, except where the sender specifically states them to be the views of Thomson Reuters.
Received on Thursday, 4 February 2010 12:27:39 UTC