All Projects → dbpedia-spotlight → Dbpedia Spotlight

dbpedia-spotlight / Dbpedia Spotlight

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

Programming Languages

scala
5932 projects

Projects that are alternatives of or similar to Dbpedia Spotlight

LinkedDataHub
The Knowledge Graph notebook. Apache license.
Stars: ✭ 150 (-79.42%)
Mutual labels:  semantic-web
Jsonld
JSON-LD processor for PHP
Stars: ✭ 280 (-61.59%)
Mutual labels:  semantic-web
Nlp.js
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Stars: ✭ 4,670 (+540.6%)
Mutual labels:  entity-extraction
obi
The Ontology for Biomedical Investigations
Stars: ✭ 49 (-93.28%)
Mutual labels:  semantic-web
React Schemaorg
Type-checked Schema.org JSON-LD for React
Stars: ✭ 262 (-64.06%)
Mutual labels:  semantic-web
Schema Dts
JSON-LD TypeScript types for Schema.org vocabulary
Stars: ✭ 338 (-53.64%)
Mutual labels:  semantic-web
cell-ontology
An ontology of cell types
Stars: ✭ 75 (-89.71%)
Mutual labels:  semantic-web
Deeppavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
Stars: ✭ 5,525 (+657.89%)
Mutual labels:  entity-extraction
Multiple Relations Extraction Only Look Once
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
Stars: ✭ 269 (-63.1%)
Mutual labels:  entity-extraction
Pyld
JSON-LD processor written in Python
Stars: ✭ 413 (-43.35%)
Mutual labels:  semantic-web
AskNowNQS
A question answering system for RDF knowledge graphs.
Stars: ✭ 32 (-95.61%)
Mutual labels:  semantic-web
A Pytorch Tutorial To Sequence Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Stars: ✭ 257 (-64.75%)
Mutual labels:  entity-extraction
Rdf
RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.
Stars: ✭ 353 (-51.58%)
Mutual labels:  semantic-web
semantic-web
Storing ontologies/vocabularies from the web. Wish anybody can translate some of them.
Stars: ✭ 114 (-84.36%)
Mutual labels:  semantic-web
Extruct
Extract embedded metadata from HTML markup
Stars: ✭ 573 (-21.4%)
Mutual labels:  semantic-web
LSQ
Linked SPARQL Queries (LSQ): Framework for RDFizing triple store (web) logs and performing SPARQL query extraction, analysis and benchmarking in order to produce datasets of Linked SPARQL Queries
Stars: ✭ 23 (-96.84%)
Mutual labels:  semantic-web
Api.rss
RSS as RESTful. This service allows you to transform RSS feed into an awesome API.
Stars: ✭ 340 (-53.36%)
Mutual labels:  semantic-web
Awesome Semantic Web
A curated list of various semantic web and linked data resources.
Stars: ✭ 642 (-11.93%)
Mutual labels:  semantic-web
Dokieli
💡 dokieli is a clientside editor for decentralised article publishing, annotations and social interactions
Stars: ✭ 582 (-20.16%)
Mutual labels:  semantic-web
Semanticmediawiki
🔗 Semantic MediaWiki turns MediaWiki into a knowledge management platform with query and export capabilities
Stars: ✭ 359 (-50.75%)
Mutual labels:  semantic-web

IMPORTANT: No longer in active development. Please use https://github.com/dbpedia-spotlight/dbpedia-spotlight-model instead.


DBpedia Spotlight

Links

website - http://www.dbpedia-spotlight.org

status service - http://status.dbpedia-spotlight.org

download service - http://download.dbpedia-spotlight.org

demo service - http://demo.dbpedia-spotlight.org

CI -http://jenkins.dbpedia-spotlight.org

General Notes

Since v1.0, DBpedia Spotlight was split into two versions, under the same API, as follow:

We will keep this repository just to historical references. Every issue opened should be closed and reopened in their respective repositories.

This important movement was the way that we found to deliver faster fixes and new releases, providing solutions for each annotation approach.

Our first achievement is related with licensing. DBpedia Spotlight Model is now full compliance with Apache 2.0. It means that you can use it without any commercial restrictions.

We are so excited because there's even more great news to come.

If you require any further information, feel free to contact us via [email protected]. We are already very excited to spend time with you on further community meetings and to publish new DBpedia releases.

Keep annotating,

All the best

Shedding Light on the Web of Documents

DBpedia Spotlight looks for ~3.5M things of unknown or ~320 known types in text and tries to link them to their global unique identifiers in DBpedia.

Demonstration

Go to our Demonstration page, copy+paste some text and play with the parameters to see how it works.

Call our web service

You can use our demonstration Web Service directly from your application.

curl http://model.dbpedia-spotlight.org/en/annotate  \
  --data-urlencode "text=President Obama called Wednesday on Congress to extend a tax break
  for students included in last year's economic stimulus package, arguing
  that the policy provides more generous assistance." \
  --data "confidence=0.35"

or for JSON:

curl http://model.dbpedia-spotlight.org/en/annotate  \
  --data-urlencode "text=President Obama called Wednesday on Congress to extend a tax break
  for students included in last year's economic stimulus package, arguing
  that the policy provides more generous assistance." \
  --data "confidence=0.35" \
  -H "Accept: application/json"

Run your own server

If you need service reliability and lower response times, you can run DBpedia Spotlight in your own In-House Server. Just download a model and Spotlight from here to get started.

wget http://downloads.dbpedia-spotlight.org/spotlight/dbpedia-spotlight-0.7.1.jar
wget http://downloads.dbpedia-spotlight.org/2016-04/en/model/en.tar.gz
tar xzf en.tar.gz
java -jar dbpedia-spotlight-latest.jar en http://localhost:2222/rest

Models and data

Models and raw data for most languages are available here.

Citation

If you use DBpedia Spotlight in your research, please cite the following paper:

@inproceedings{isem2013daiber,
  title = {Improving Efficiency and Accuracy in Multilingual Entity Extraction},
  author = {Joachim Daiber and Max Jakob and Chris Hokamp and Pablo N. Mendes},
  year = {2013},
  booktitle = {Proceedings of the 9th International Conference on Semantic Systems (I-Semantics)}
}

Licenses

All the original code produced for DBpedia Spotlight is licensed under Apache License, 2.0. Some modules have dependencies on LingPipe under the Royalty Free License. Some of our original code (currently) depends on GPL-licensed or LGPL-licensed code and is therefore also GPL or LGPL, respectively. We are currently cleaning up the dependencies to release two builds, one purely GPL and one purely Apache License, 2.0.

The documentation on this website is shared as Creative Commons Attribution-ShareAlike 3.0 Unported License.

More information on citation and how to cite the deprecated Lucene version can be found here.

Documentation

More documentation is available from the DBpedia Spotlight wiki.

FAQ

Check the FAQ here

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].