Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloOntology Learning and Semantic Annotation: a Necessary Symbiosis
Anno di pubblicazione2008
FormatoElettronico
Autore/iGiovannetti E.; Marchi S.; Montemagni S.; Bartolini R.
Affiliazioni autoriCNR-ILC, Pisa
Autori CNR e affiliazioni
  • EMILIANO GIOVANNETTI
  • SIMONETTA MONTEMAGNI
  • ROBERTO BARTOLINI
  • SIMONE MARCHI
Lingua/e
  • inglese
AbstractSemantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology. On the other hand, the process of engineering a domain-ontology through semi-automatic ontology learning system requires the availability of a considerable amount of semantically annotated documents. Facing this bootstrapping paradox requires an incremental process of annotation-acquisition-annotation, whereby domain-specific knowledge is acquired from linguistically-annotated texts and then projected back onto texts for extra linguistic information to be annotated and further knowledge layers to be extracted. The presented methodology is a first step in the direction of a full "virtuous" circle where the semantic annotation platform and the evolving ontology interact in symbiosis. As a case study we have chosen the semantic annotation of product catalogues. We propose a hybrid approach, combining pattern matching techniques to exploit the regular structure of product descriptions in catalogues, and Natural Language Processing techniques which are resorted to analyze natural language descriptions. The semantic annotation involves the access to the ontology, semi-automatically bootstrapped with an ontology learning tool from annotated collections of catalogues.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2079
Pagine a2085
Pagine totali6
Rivista-
Numero volume della rivista-
Serie/Collana-
Titolo del volumeLREC 2008, Sixth International Conference on Language Resources and Evaluation
Numero volume della serie/collana-
Curatore/i del volumeNicoletta Calzolari (Conference Chair); Khalid Choukri; Bente Maegaard; Joseph Mariani; Jan Odjik; Stelios Piperidis; Daniel Tapias
ISBN2-9517408-4-0
DOI-
Editore
  • European Language Resources Association (ELRA) - Evaluations and Language resources Distribution Agency (ELDA), Paris (Francia)
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • PUMA (Codice:2008-A2-023)
Parole chiaveInformation Extraction, Information Retrieval, Ontologies, Tools, Systems
Link (URL, URI)http://www.lrec-conf.org/proceedings/lrec2008/
Titolo convegno/congressoLREC 2008, Sixth International Conference on Language Resources and Evaluation
Luogo convegno/congressoMarrakech, Marocco
Data/e convegno/congresso-
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • ILC — Istituto di linguistica computazionale "Antonio Zampolli"
Moduli/Attività/Sottoprogetti CNR
  • IC.P02.004.001 : Tecnologie linguistiche e gestione della conoscenza
Progetti Europei-
Allegati
Articolo LREC 2008 Ontology Learning (documento privato )
Tipo documento: application/pdf

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareLanguage & Linguistics
Area valutazione CIVRScienze dell'Antichità, filologico-letterarie e storico-artistiche
NoteIn: LREC - LREC 2008, Sixth International Conference on Language Resources and Evaluation (Palais des Congrès Mansour Eddahbi, Marrakech, Maroc, 26 May - 1 June 2008). Proceedings, pp. 2079 - 2085. Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Daniel Tapias (eds.). European Language Resources Association (ELRA), 2008.
Descrizione sintetica del prodottoABSTRACT: Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology. On the other hand, the process of engineering a domain-ontology through semi-automatic ontology learning system requires the availability of a considerable amount of semantically annotated documents. Facing this bootstrapping paradox requires an incremental process of annotation-acquisition-annotation, whereby domain-specific knowledge is acquired from linguistically-annotated texts and then projected back onto texts for extra linguistic information to be annotated and further knowledge layers to be extracted. The presented methodology is a first step in the direction of a full "virtuous" circle where the semantic annotation platform and the evolving ontology interact in symbiosis. As a case study we have chosen the semantic annotation of product catalogues. We propose a hybrid approach, combining pattern matching techniques to exploit the regular structure of product descriptions in catalogues, and Natural Language Processing techniques which are resorted to analyze natural language descriptions. The semantic annotation involves the access to the ontology, semi-automatically bootstrapped with an ontology learning tool from annotated collections of catalogues.