Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierarchically organized in categories and strongly inter-linked. Its structure, its size and the fact that it is generated by humans are the reasons for the attention Wikipedia receives from researchers in different fields. Especially the link structure of Wikipedia is of huge importance not only for humans browsing the collection, but also as a resource for bootstrapping machine intelligence and the semantic web. Motivated by the fact that manual maintenance and creation of hyperlinks is labor intensive, this paper explores properties for automatic link creation between Wikipedia pages in this paper. Focusing on ad-hoc linking approaches we evalu...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
We investigate the task of finding links from Wikipedia pages to external web pages. Such external l...
Abstract. We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine le...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Automatically linking Wikipedia pages can be done either content based by exploiting word similariti...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
Automatically linking Wikipedia pages is done mostly by two strategies: (i) a content based strategy...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
International audienceWikipedia, the largest open-collaborative online encyclopedia, is a corpus of ...
International audienceWikipedia, the largest open-collaborative online encyclopedia, is a corpus of ...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
We investigate the task of finding links from Wikipedia pages to external web pages. Such external l...
Abstract. We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine le...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Automatically linking Wikipedia pages can be done either content based by exploiting word similariti...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
Automatically linking Wikipedia pages is done mostly by two strategies: (i) a content based strategy...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
International audienceWikipedia, the largest open-collaborative online encyclopedia, is a corpus of ...
International audienceWikipedia, the largest open-collaborative online encyclopedia, is a corpus of ...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
This paper describes a new technique for obtaining measures of semantic relatedness. Like other rece...
We investigate the task of finding links from Wikipedia pages to external web pages. Such external l...
Abstract. We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine le...