Wikipedia encyclopaedia projects, which consist of vast collections of user-edited articles covering a wide range of topics, are among some of the most popular websites on internet. With so many users working collaboratively, mainstream events are often very quickly reflected by both authors editing content and users reading articles. With temporal signals such as changing article content, page viewing activity and the link graph readily available, Wikipedia has gained attention in recent years as a source of temporal event information. This paper serves as an overview of the characteristics and past work which support Wikipedia (English, in this case) for time-aware information retrieval research. Furthermore, we discuss the main content a...
Temporal dynamics and how they impact upon various components of information retrieval (IR) systems ...
Abstract. The DBpedia project extracts structured information from Wikipedia and makes it available ...
In this paper we propose an innovative Information Retrieval system able to manage temporal informat...
Recently, large-scale knowledge bases have been constructed by automatically extracting relational f...
The Web of data is constantly evolving based on the dynam-ics of its content. Current Web search eng...
Wikipedia has become a widely accepted reference point for information of all kinds; real-world even...
The digital information landscape has introduced a new dimension to understanding how we collectivel...
In this paper we present an approach to mining information relating people, places, organizations an...
Wikipedia is an online encyclopedia, available in more than 100 languages and comprising over 1 mill...
We consider the task of linking Wikipedia events to rele-vant news articles from the past. Descripti...
Recent increase in digitalization and archiving efforts on news data have led to overwhelming amount...
The digital information landscape has introduced a new dimension to understanding how we collectivel...
This paper presents an empirical study about the temporal patterns characterizing the requests subm...
Wikipedia is the primary authoritative information resource on the web for billions of people, and p...
Temporal Information Processing is a subfield of Natural Language Processing, valuable in many tasks...
Temporal dynamics and how they impact upon various components of information retrieval (IR) systems ...
Abstract. The DBpedia project extracts structured information from Wikipedia and makes it available ...
In this paper we propose an innovative Information Retrieval system able to manage temporal informat...
Recently, large-scale knowledge bases have been constructed by automatically extracting relational f...
The Web of data is constantly evolving based on the dynam-ics of its content. Current Web search eng...
Wikipedia has become a widely accepted reference point for information of all kinds; real-world even...
The digital information landscape has introduced a new dimension to understanding how we collectivel...
In this paper we present an approach to mining information relating people, places, organizations an...
Wikipedia is an online encyclopedia, available in more than 100 languages and comprising over 1 mill...
We consider the task of linking Wikipedia events to rele-vant news articles from the past. Descripti...
Recent increase in digitalization and archiving efforts on news data have led to overwhelming amount...
The digital information landscape has introduced a new dimension to understanding how we collectivel...
This paper presents an empirical study about the temporal patterns characterizing the requests subm...
Wikipedia is the primary authoritative information resource on the web for billions of people, and p...
Temporal Information Processing is a subfield of Natural Language Processing, valuable in many tasks...
Temporal dynamics and how they impact upon various components of information retrieval (IR) systems ...
Abstract. The DBpedia project extracts structured information from Wikipedia and makes it available ...
In this paper we propose an innovative Information Retrieval system able to manage temporal informat...