Add to ORKGWe present a comprehensive analysis of link discovery approaches. We classify them with regard to the type of knowledge being used, and identify three commonly used sources of knowledge: The text of a document, the document title, and already existing links. We analyze the influence of the knowledge source as well as of the amount of training data used. Results show that the link-based approach performs best if the amount of training data is huge. In a more realistic setting with fewer training data, the text-based approach yields better results
grantor: University of TorontoThis study develops a taxonomy of link types for the purpos...
Hyperlinks are the most commonly used attributes to study web sites and structures on the web. In th...
The paper argues that automatic link generation and typing methods are needed to find and maintain cr...
We present a comprehensive analysis of link discovery approaches. We classify them with regard to th...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
We present our approaches for link discovery in document collections with or without existing links....
Link analysis methods have become popular for information access tasks, especially information retr...
A vast amount of information is today stored in the form of textual documents, many of which are ava...
Recently, there have been a number of algorithms proposed for analyzing hypertext link structure so ...
We focus on the task of target detection in automatic link generation with Wikipedia, i.e., given an...
Abstract. We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine le...
Patents are a source of technical knowledge, but often difficult to understand. Technological soluti...
We focus on the task of target detection in automatic link genera-tion with Wikipedia, i.e., given a...
We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine learning met...
Finding relevant pages in response to a user query is a challenging task. Automated search engines t...
grantor: University of TorontoThis study develops a taxonomy of link types for the purpos...
Hyperlinks are the most commonly used attributes to study web sites and structures on the web. In th...
The paper argues that automatic link generation and typing methods are needed to find and maintain cr...
We present a comprehensive analysis of link discovery approaches. We classify them with regard to th...
Collaborative knowledge management systems such as the Wikipedia are becoming ever more popular – an...
We present our approaches for link discovery in document collections with or without existing links....
Link analysis methods have become popular for information access tasks, especially information retr...
A vast amount of information is today stored in the form of textual documents, many of which are ava...
Recently, there have been a number of algorithms proposed for analyzing hypertext link structure so ...
We focus on the task of target detection in automatic link generation with Wikipedia, i.e., given an...
Abstract. We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine le...
Patents are a source of technical knowledge, but often difficult to understand. Technological soluti...
We focus on the task of target detection in automatic link genera-tion with Wikipedia, i.e., given a...
We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine learning met...
Finding relevant pages in response to a user query is a challenging task. Automated search engines t...
grantor: University of TorontoThis study develops a taxonomy of link types for the purpos...
Hyperlinks are the most commonly used attributes to study web sites and structures on the web. In th...
The paper argues that automatic link generation and typing methods are needed to find and maintain cr...