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|Abschlussarbeitsstatus=Offen
 
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|Beginn=2020/05/01
 
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|Ausschreibung=Modeling Temporal Trajectory of Events associated with Wikipedia Entities.pdf
 
 
|Beschreibung DE=The objective of this thesis is to process Wikipedia pages containing information about an entity with a certain type such as person, country, etc. After extracting textual information from the Wikipedia page of a certain entity, temporal information will be extracted using existing tools. For example, the Wikipedia page of the entity “Japan” contains a dedicated section about the historical events along with other temporal information.  
 
|Beschreibung DE=The objective of this thesis is to process Wikipedia pages containing information about an entity with a certain type such as person, country, etc. After extracting textual information from the Wikipedia page of a certain entity, temporal information will be extracted using existing tools. For example, the Wikipedia page of the entity “Japan” contains a dedicated section about the historical events along with other temporal information.  
 
This temporal information can be either one point in time such as National Foundation Day: February 11, 660 BC or a period of time such as Asuka Period: 592 to 710. It can then be represented in the form of Knowledge Graphs (KGs). The figure shows an example of temporal trajectory of chronological depiction of events happening  
 
This temporal information can be either one point in time such as National Foundation Day: February 11, 660 BC or a period of time such as Asuka Period: 592 to 710. It can then be represented in the form of Knowledge Graphs (KGs). The figure shows an example of temporal trajectory of chronological depiction of events happening  
 
in Europe and North America from 1600-1800. This thesis focuses on extracting and representing such trajectories in the form of KGs. This can further be made available as a web interface which takes the name of an entity as an input and shows its temporal trajectory as an output.
 
in Europe and North America from 1600-1800. This thesis focuses on extracting and representing such trajectories in the form of KGs. This can further be made available as a web interface which takes the name of an entity as an input and shows its temporal trajectory as an output.
 
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Version vom 9. April 2020, 16:19 Uhr



Modeling Temporal Trajectory of Events associated with Wikipedia Entities




Informationen zur Arbeit

Abschlussarbeitstyp: Master
Betreuer: Mehwish Alam
Forschungsgruppe: Information Service Engineering
Partner: FIZ Karlsruhe
Archivierungsnummer: 4585
Abschlussarbeitsstatus: Offen
Beginn: 01. Mai 2020
Abgabe: unbekannt

Weitere Informationen

The objective of this thesis is to process Wikipedia pages containing information about an entity with a certain type such as person, country, etc. After extracting textual information from the Wikipedia page of a certain entity, temporal information will be extracted using existing tools. For example, the Wikipedia page of the entity “Japan” contains a dedicated section about the historical events along with other temporal information. This temporal information can be either one point in time such as National Foundation Day: February 11, 660 BC or a period of time such as Asuka Period: 592 to 710. It can then be represented in the form of Knowledge Graphs (KGs). The figure shows an example of temporal trajectory of chronological depiction of events happening in Europe and North America from 1600-1800. This thesis focuses on extracting and representing such trajectories in the form of KGs. This can further be made available as a web interface which takes the name of an entity as an input and shows its temporal trajectory as an output.