Entity identification and extraction

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MariyaQuibtiya

Research project

Educação Tecnologia Negócios

ENTITY
IDENTIFICATION AND
CLASSIFICATION

Automated Entity Identification and
Extraction
OBJECTIVE :

Entities

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
SELECT ?class WHERE { ?class rdfs:subClassOf owl:Thing .
?person rdf:type ?class . ?person
<http://www.w3.org/2000/01/rdf-schema#label> "Anna"@en. }
APPROACH :

http://dbpedia.org/ontology/Stadium

http://dbpedia.org/ontology/Bacteria
http://dbpedia.org/ontology/Company
http://dbpedia.org/ontology/GridironFootballPlayer
http://dbpedia.org/ontology/Animal
http://dbpedia.org/ontology/PersonFunction
http://dbpedia.org/ontology/Athlete
http://dbpedia.org/ontology/School
http://dbpedia.org/ontology/Governor
http://dbpedia.org/ontology/Monarch

http://dbpedia.org/ontology/Software http://dbpedia.org/ontology/ComicsCreator

APPROACH :

<dbpedia>http://dbpedia.org/resource/India</dbpedia>
<ciaFactbook>http://www4.wiwiss.fu-
berlin.de/factbook/resource/India</ciaFactbook>
<freebase>http://rdf.freebase.com/ns/guid.9202a8c04000641f8000000000
01de20</freebase>
<umbel>http://umbel.org/umbel/ne/wikipedia/India</umbel>
<opencyc>http://sw.opencyc.org/concept/Mx4rvVj7XJwpEbGdrcN5Y29ycA
</opencyc> <yago>http://mpii.de/yago/resource/India</yago>

DBPedia Query:
ARCHITECTURE :

Pre-
Parsing
processing NOUN
DB TWEETS PHRASES

Frequency

DBPedia
Endpoint
CANDIDATE
SET

Alchemy API :

Pre-
ARCHITECTURE :

Query
processing ALCHEMY
API
DB TWEETS

type

relevance

name

count

CANDIDATE XML
SET PARSER

India Corruption Royal Wedding
RESULT ANALYSIS :

DBPEDIA
RESULT ANALYSIS :

“Anna
Hazare”

“Anna”

RESULTS:
Sorted list Final list of
of entities entities obtained

For the list of Noun-Phrases as
the candidate set:
EVALUATION:

For the DBPedia-obtained
candidate set:
EVALUATION:

For the Alchemy-API obtained
candidate set:
EVALUATION:

WHAT MORE TO DO :

Relation between Entities

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Entity identification and extraction

1. ENTITY IDENTIFICATION AND CLASSIFICATION

2. MOTIVATION :

3. Automated Entity Identification and Extraction OBJECTIVE : Entities

4. PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> SELECT ?class WHERE { ?class rdfs:subClassOf owl:Thing . ?person rdf:type ?class . ?person <http://www.w3.org/2000/01/rdf-schema#label> "Anna"@en. } APPROACH : http://dbpedia.org/ontology/Stadium http://dbpedia.org/ontology/Bacteria http://dbpedia.org/ontology/Company http://dbpedia.org/ontology/GridironFootballPlayer http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/PersonFunction http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/School http://dbpedia.org/ontology/Governor http://dbpedia.org/ontology/Monarch http://dbpedia.org/ontology/Software http://dbpedia.org/ontology/ComicsCreator

5. APPROACH : <dbpedia>http://dbpedia.org/resource/India</dbpedia> <ciaFactbook>http://www4.wiwiss.fu- berlin.de/factbook/resource/India</ciaFactbook> <freebase>http://rdf.freebase.com/ns/guid.9202a8c04000641f8000000000 01de20</freebase> <umbel>http://umbel.org/umbel/ne/wikipedia/India</umbel> <opencyc>http://sw.opencyc.org/concept/Mx4rvVj7XJwpEbGdrcN5Y29ycA </opencyc> <yago>http://mpii.de/yago/resource/India</yago>

6. MAJOR STEPS :

7. DBPedia Query: ARCHITECTURE : Pre- Parsing processing NOUN DB TWEETS PHRASES Frequency DBPedia Endpoint CANDIDATE SET

8. Alchemy API : Pre- ARCHITECTURE : Query processing ALCHEMY API DB TWEETS type relevance name count CANDIDATE XML SET PARSER

9. RESULT ANALYSIS : PROBLEMS

10. India Corruption Royal Wedding RESULT ANALYSIS :

11. RESULT ANALYSIS : PROBLEMS

12. DBPEDIA RESULT ANALYSIS : “Anna Hazare” “Anna”

13. RESULT ANALYSIS : ALCHEMY API

14. RESULT ANALYSIS : ALCHEMY API

15. RESULT ANALYSIS :

16. ALCHEMY API PROBLEMS: RESULT ANALYSIS :

17. ALCHEMY API PROBLEMS: RESULT ANALYSIS :