Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

In 2004 we published in this journal an article describing OntoLearn, one of the first systems
to automatically induce a taxonomy from documents and Web sites. Since then, OntoLearn …

Although many algorithms have been developed to harvest lexical resources, few organize
the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a …

In this paper we present a graph-based approach aimed at learning a lexical taxonomy
automatically starting from a domain corpus and the Web. Unlike many taxonomy learning …

Abstract, structured, representations of knowledge such as lexicons, taxonomies, and
ontologies have proven to be powerful resources not only for the systematization of …

Taxonomy construction is not only a fundamental task for semantic analysis of text corpora,
but also an important step for applications such as information filtering, recommendation …

We consider the problem of creating an effective navigation structure over a data lake. We
define an organization as a navigation graph that contains nodes representing sets of …

We present a system for taxonomy construction that reached the first place in all subtasks of
the SemEval 2016 challenge on Taxonomy Extraction Evaluation. Our simple yet effective …

Abstract Information Extraction has been widely used to extract information from text. Named
Entity Recognition (NER) is one of the primary tasks of Information Extraction to extract …

Taxonomy is not only a fundamental form of knowledge representation, but also crucial to
vast knowledge-rich applications, such as question answering and web search. Most …