Add to ORKGAbstract. In this demo we present WikipEvent, an exploratory system that captures and visualises continuously evolving complex event struc-tures, along with the involved entities. The framework facilitates entity-centric and event-centric search, presented via a user-friendly interface and supported by temporal snippets from corresponding Wikipedia page versions. The events detected and extracted using different mechanisms are exposed as freely available Linked Data for further reuse
Web archives preserve an unprecedented abundance of materials regarding major events and transformat...
Abstract. In this paper we present a method and an implementation for creating and processing semant...
Now-a-day Wikipedia is becoming the main source of data for analyzing, researching and finding insig...
A majority of current work in events extraction assumes the static nature of relationships in consta...
WikiEvents is a knowledge graph based dataset for NLP and event-related machine learning tasks. Thi...
Many attempts have been made to extract structured data from Web resources, exposing them as RDF tri...
This demonstration paper introduces a tool to analyse historical digital libraries with the benefit ...
Recently, large-scale knowledge bases have been constructed by automatically extracting relational f...
This demonstration paper introduces a tool to analyse historical digital libraries with the benefit ...
The Web of data is constantly evolving based on the dynam-ics of its content. Current Web search eng...
The reliable extraction of knowledge from text requires an appropriate treatment of the time at whic...
In this article, we present an experimental end user application to query DeRiVE 2011 challenge data...
This paper extracts facts using “micro-reading ” of text in contrast to approaches that extract comm...
Abstract. Wikipedia is widely considered the largest and most up-to-date online encyclopedia, with i...
Recent increase in digitalization and archiving efforts on news data have led to overwhelming amount...
Web archives preserve an unprecedented abundance of materials regarding major events and transformat...
Abstract. In this paper we present a method and an implementation for creating and processing semant...
Now-a-day Wikipedia is becoming the main source of data for analyzing, researching and finding insig...
A majority of current work in events extraction assumes the static nature of relationships in consta...
WikiEvents is a knowledge graph based dataset for NLP and event-related machine learning tasks. Thi...
Many attempts have been made to extract structured data from Web resources, exposing them as RDF tri...
This demonstration paper introduces a tool to analyse historical digital libraries with the benefit ...
Recently, large-scale knowledge bases have been constructed by automatically extracting relational f...
This demonstration paper introduces a tool to analyse historical digital libraries with the benefit ...
The Web of data is constantly evolving based on the dynam-ics of its content. Current Web search eng...
The reliable extraction of knowledge from text requires an appropriate treatment of the time at whic...
In this article, we present an experimental end user application to query DeRiVE 2011 challenge data...
This paper extracts facts using “micro-reading ” of text in contrast to approaches that extract comm...
Abstract. Wikipedia is widely considered the largest and most up-to-date online encyclopedia, with i...
Recent increase in digitalization and archiving efforts on news data have led to overwhelming amount...
Web archives preserve an unprecedented abundance of materials regarding major events and transformat...
Abstract. In this paper we present a method and an implementation for creating and processing semant...
Now-a-day Wikipedia is becoming the main source of data for analyzing, researching and finding insig...