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https://issues.apache.org/jira/browse/STANBOL-1156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rafa Haro updated STANBOL-1156:
-------------------------------
Description:
Since STANBOL-1014, it is possible to generate an EntityHub site for the
Freebase Knowledge Base. As part of Google Summer of Code call for 2013, there
has been a proposal for Freebase Entity Disambiguation. Proposal details can be
found in the following link:
http://www.google-melange.com/gsoc/project/google/gsoc2013/adperezmorales/10001.
The disambiguation process for Freebase should also follow the workflow and
architecture stablished at STANBOL-1037.
The project development has been divided in three global tasks:
1. Integration of resources for local disambiguation. Wikilinks
(http://www.iesl.cs.umass.edu/data/wiki-links) is a dataset that provides URLs
of webpages, along with the anchor of the links, and the Wikipedia and Freebase
pages they link to. As provided, this dataset can be used to get all the
surface strings that refer to a Wikipedia page, but further, it can be used to
download the webpages and extract the context around the webpages. This
contexts can be used for local disambiguation against Content Items mention
contexts.
2. Integration of resources for global disambiguation: Freebase is an enormous
graphs of related entities and concepts. The structure of this graph can be
used to compute groups of entities that are semantically related in a document.
For example, we can use the relationship between Michael Jordan and NBA to
disambiguate Michael Jordan in a text. The goal of this task is to store the
Freebase graph structure in a Neo4j database and provide an API to use it for
disambiguation purposes.
3. Disambiguation algorithm: finally, it is necessary to write an algorithm
that take into account the local and global disambiguations score in order to
refine the confidence values of the EntityAnnotations in the Enhancement
Structure
was:
Since STANBOL-1014, it is possible to generate an EntityHub site for the
Freebase Knowledge Base. As part of Google Summer of Code call for 2013, there
has been a proposal for Freebase Entity Disambiguation. Proposal details can be
found in the following link:
http://www.google-melange.com/gsoc/project/google/gsoc2013/adperezmorales/10001.
The disambiguation process for Freebase should also follow the workflow and
architecture stablished at STANBOL-1037.
The project development has been divided in three global tasks:
1. Integration of resources for local disambiguation. Wikilinks (
> Freebase Entity Disambiguation
> ------------------------------
>
> Key: STANBOL-1156
> URL: https://issues.apache.org/jira/browse/STANBOL-1156
> Project: Stanbol
> Issue Type: Story
> Components: Data, Enhancement Engines, Enhancer, Entityhub
> Reporter: Rafa Haro
> Labels: disambiguation, freebase, gsoc2013, mentoring
> Fix For: 0.12.0
>
>
> Since STANBOL-1014, it is possible to generate an EntityHub site for the
> Freebase Knowledge Base. As part of Google Summer of Code call for 2013,
> there has been a proposal for Freebase Entity Disambiguation. Proposal
> details can be found in the following link:
> http://www.google-melange.com/gsoc/project/google/gsoc2013/adperezmorales/10001.
> The disambiguation process for Freebase should also follow the workflow and
> architecture stablished at STANBOL-1037.
> The project development has been divided in three global tasks:
> 1. Integration of resources for local disambiguation. Wikilinks
> (http://www.iesl.cs.umass.edu/data/wiki-links) is a dataset that provides
> URLs of webpages, along with the anchor of the links, and the Wikipedia and
> Freebase pages they link to. As provided, this dataset can be used to get all
> the surface strings that refer to a Wikipedia page, but further, it can be
> used to download the webpages and extract the context around the webpages.
> This contexts can be used for local disambiguation against Content Items
> mention contexts.
> 2. Integration of resources for global disambiguation: Freebase is an
> enormous graphs of related entities and concepts. The structure of this graph
> can be used to compute groups of entities that are semantically related in a
> document. For example, we can use the relationship between Michael Jordan and
> NBA to disambiguate Michael Jordan in a text. The goal of this task is to
> store the Freebase graph structure in a Neo4j database and provide an API to
> use it for disambiguation purposes.
> 3. Disambiguation algorithm: finally, it is necessary to write an algorithm
> that take into account the local and global disambiguations score in order to
> refine the confidence values of the EntityAnnotations in the Enhancement
> Structure
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