Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language labels, used to describe their contents, are easily understood by human users. However, at the same time, this is also one of their main disadvantages as these same labels are ambiguous and very hard to be reasoned about by software agents. This fact creates an insuperable hindrance for classifications to being embedded in the Semantic Web infrastructure. This paper presents an approach to converting classifications into lightweight ontologies, and it makes the following contributions: (i) it identifies the main NLP problems related to the conversion process and shows how they are different from the classical problems of NLP; (ii) it proposes heuristic solutions to these problems, which are especially effective in this domain; and (iii) it evaluates the proposed solutions by testing them on DMoz data.

From Web Directories to Ontologies: Natural Language Processing Challenges / Zaihrayeu, Ilya; Sun, Lei; Pan, Wei; Ju, Qi; Chi, Mingmin; Huang, Xuanjing; Giunchiglia, Fausto. - ELETTRONICO. - (2007), pp. 1-17.

From Web Directories to Ontologies: Natural Language Processing Challenges

Zaihrayeu, Ilya;Ju, Qi;Chi, Mingmin;Giunchiglia, Fausto
2007-01-01

Abstract

Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language labels, used to describe their contents, are easily understood by human users. However, at the same time, this is also one of their main disadvantages as these same labels are ambiguous and very hard to be reasoned about by software agents. This fact creates an insuperable hindrance for classifications to being embedded in the Semantic Web infrastructure. This paper presents an approach to converting classifications into lightweight ontologies, and it makes the following contributions: (i) it identifies the main NLP problems related to the conversion process and shows how they are different from the classical problems of NLP; (ii) it proposes heuristic solutions to these problems, which are especially effective in this domain; and (iii) it evaluates the proposed solutions by testing them on DMoz data.
2007
Trento
University of Trento. Department of information and communication technology
From Web Directories to Ontologies: Natural Language Processing Challenges / Zaihrayeu, Ilya; Sun, Lei; Pan, Wei; Ju, Qi; Chi, Mingmin; Huang, Xuanjing; Giunchiglia, Fausto. - ELETTRONICO. - (2007), pp. 1-17.
Zaihrayeu, Ilya; Sun, Lei; Pan, Wei; Ju, Qi; Chi, Mingmin; Huang, Xuanjing; Giunchiglia, Fausto
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/359298
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact