Why do links work? Link-based ranking algorithms are based on the often implicit assumption that linked documents are semantically related to each other, and that link information is therefore useful for retrieval. Although the benefits of link information are well researched, this underlying assumption on why link evidence works remains untested, and the main aim of this paper is to do exactly that. Specifically, we use Wikipedia because it has a dense link structure in combination with a large category structure, which allows for an independent measurement of the semantic relatedness of linked documents. Our main findings are that: 1) global, query-independent link evidence, is not affected by the semantic nature of the links, and 2) for ...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
In this paper, we investigate the difference between Wikipedia and Web link structure with respect t...
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...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
relatedness between terms using the links found within their corresponding Wikipedia articles. Unlik...
We present our approaches for link discovery in document collections with or without existing links....
Recent Web-searching and-mining tools are combining text and link analysis to improve ranking and cr...
Automatically linking Wikipedia pages can be done either content based by exploiting word similariti...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Abstract. Link analysis methods are used to estimate importance in graph-structured data. In that re...
In this paper we describe our participation in INEX 2009 in the Ad Hoc Track, the Book Track, and th...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...
Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densel...
In this paper, we investigate the difference between Wikipedia and Web link structure with respect t...
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...
Abstract. The Wikipedia is the largest online collaborative knowledge sharing system, a free encyclo...
relatedness between terms using the links found within their corresponding Wikipedia articles. Unlik...
We present our approaches for link discovery in document collections with or without existing links....
Recent Web-searching and-mining tools are combining text and link analysis to improve ranking and cr...
Automatically linking Wikipedia pages can be done either content based by exploiting word similariti...
International audienceThe extraction and the disambiguation of knowledge guided by textual resources...
Abstract. Link analysis methods are used to estimate importance in graph-structured data. In that re...
In this paper we describe our participation in INEX 2009 in the Ad Hoc Track, the Book Track, and th...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
Wikipedia contains an enormous amount of human knowledge. The wide range of covered topics is hierar...
AbstractWe propose a method for computing semantic relatedness between words or texts by using knowl...