Simone Marchi


Ontology Learning and Semantic Annotation: a Necessary Symbiosis
Emiliano Giovannetti | Simone Marchi | Simonetta Montemagni | Roberto Bartolini
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

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.


Creation and Use of Lexicons and Ontologies for NL Interfaces to Databases
Roberto Bartolini | Caterina Caracciolo | Emiliano Giovanetti | Alessandro Lenci | Simone Marchi | Vito Pirrelli | Chiara Renso | Laura Spinsanti
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this paper we present an original approach to natural language query interpretation which has been implemented withinthe FuLL (Fuzzy Logic and Language) Italian project of BC S.r.l. In particular, we discuss here the creation of linguisticand ontological resources, together with the exploitation of existing ones, for natural language-driven database access andretrieval. Both the database and the queries we experiment with are Italian, but the methodology we broach naturally extends to other languages.


NLP-enhanced Content Filtering Within the POESIA Project
Mark Hepple | Neil Ireson | Paolo Allegrini | Simone Marchi | Simonetta Montemagni | Jose Maria Gomez Hidalgo
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)