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Akter, M.: Mining Entities from Events. – Hannover : Leibniz Universität Hannover, Department of Electrical Engineering and Computer Science, Master-Thesis, 2015, 65 S. DOI: https://doi.org/10.15488/3066

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Sum total of downloads: 255




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Abstract: 
Now-a-day Wikipedia is becoming the main source of data for analyzing, researching and finding insights from it. Many researchers are for this reason interested about Wikipedia data. Understand the relationship between entities according to a given set of entities which we called seed entities. Finding insights from them, it is also very important to obtain more related entities and analyze them. Entity resolution is a problem that arises in many information integration scenarios. To fulfilling this purpose visualizing entities through graph has an increasing demand and interest among researchers. To analyzing this data as a source our main goal objective is mining entities from events and study how to effectively use crowdsourcing techniques to generate an automated trustable entity graph. Based on this foundation we develop a model for generating entities and inside the page based on the link entity it extends the input seed entity. We develop models and methods that find out the co-occurences between entities based on their events and automatically generate the entity graph. Also this produces a word cloud representation according to user's given input.
License of this version: CC BY-NC-ND 3.0 DE
Document Type: masterThesis
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 108 42.35%
2 image of flag of United States United States 43 16.86%
3 image of flag of France France 13 5.10%
4 image of flag of Indonesia Indonesia 11 4.31%
5 image of flag of Australia Australia 11 4.31%
6 image of flag of Russian Federation Russian Federation 8 3.14%
7 image of flag of United Kingdom United Kingdom 8 3.14%
8 image of flag of Netherlands Netherlands 6 2.35%
9 image of flag of Canada Canada 5 1.96%
10 image of flag of No geo information available No geo information available 4 1.57%
    other countries 38 14.90%

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