Software analysis techniques, and in particular software “design recovery”, have been highly successful at both technical and business level semantic markup of large scale software systems written in a wide variety of programming languages, and in particular have proven efficient and scalable in assisting the resolution of the “year 2000” problem for billions of lines of legacy source code. In this work we describe a first experiment in applying the same technical solutions and tools that have proven so successful in software markup to the more general problem of semantic markup of text documents. In this early report we describe our adaptation of the software analysis techniques, propose a general domain-independent architecture for semantic markup using them, and demonstrate its feasibility in a limited but realistic domain of application by comparison with both raw and tool-assisted human semantic markers.

Applying software analysis technology to lightweight semantic markup of document text / Kiyavitskaya, Nadzeya; Zeni, Nicola; Cordy, James R.; Mich, Luisa; Mylopoulos, Ioannis. - STAMPA. - 3686:1(2005), pp. 590-600. (Intervento presentato al convegno ICAPR 2005 tenutosi a Bath, UK nel 22nd-25th August 2005) [10.1007/11551188_65].

Applying software analysis technology to lightweight semantic markup of document text

Kiyavitskaya, Nadzeya;Zeni, Nicola;Mich, Luisa;Mylopoulos, Ioannis
2005-01-01

Abstract

Software analysis techniques, and in particular software “design recovery”, have been highly successful at both technical and business level semantic markup of large scale software systems written in a wide variety of programming languages, and in particular have proven efficient and scalable in assisting the resolution of the “year 2000” problem for billions of lines of legacy source code. In this work we describe a first experiment in applying the same technical solutions and tools that have proven so successful in software markup to the more general problem of semantic markup of text documents. In this early report we describe our adaptation of the software analysis techniques, propose a general domain-independent architecture for semantic markup using them, and demonstrate its feasibility in a limited but realistic domain of application by comparison with both raw and tool-assisted human semantic markers.
2005
Pattern Recognition and Data Mining: Third International Conference on Advances in Pattern Recognition Proceedings, Part 1.
Berlin; Heidelberg
Springer Verlag
9783540287575
9783540287582
Kiyavitskaya, Nadzeya; Zeni, Nicola; Cordy, James R.; Mich, Luisa; Mylopoulos, Ioannis
Applying software analysis technology to lightweight semantic markup of document text / Kiyavitskaya, Nadzeya; Zeni, Nicola; Cordy, James R.; Mich, Luisa; Mylopoulos, Ioannis. - STAMPA. - 3686:1(2005), pp. 590-600. (Intervento presentato al convegno ICAPR 2005 tenutosi a Bath, UK nel 22nd-25th August 2005) [10.1007/11551188_65].
File in questo prodotto:
File Dimensione Formato  
ICAPR_LWSA_Final.pdf

Open Access dal 01/01/2007

Tipologia: Post-print referato (Refereed author’s manuscript)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 211.39 kB
Formato Adobe PDF
211.39 kB Adobe PDF Visualizza/Apri

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/11572/63823
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 7
social impact