Caterina Caracciolo

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International organizations like FAO are intrinsically multilingual. FAO is currently experimenting with semantic-oriented technologies based on ontologies, with the purpose of integrating data across various information systems and providing better services to end users. However, in order for these technologies to be used in real-life scenarios, models and(More)
Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to provide subject access to information systems across the web. Due to the heterogeneity of these systems, mapping between vocabularies becomes crucial for retrieving relevant information. However, mapping thesauri is a laborious task, and thus big efforts are(More)
Ontology matching consists of finding correspondences between on-tology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test sets. Test sets can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modalities, e.g., blind evaluation, open evaluation, consensus.(More)
Born in the early 1980's as a multilingual agricultural thesaurus, AGROVOC has steadily evolved over the last fifteen years, moving to an electronic version around the year 2000, and embracing the Semantic Web shortly thereafter. Today AGROVOC is a SKOS-XL concept scheme published as Linked Open Data, containing links (as well as backlinks) and references(More)
As part of the publication of the AGROVOC thesaurus as Linked Data (LD), AGROVOC is now mapped with six well-known thesauri in the agricultural domain, i.e. To find matching candidates, known matching algorithms discussed in the literature and available from public API were used. Results were evaluated by a domain expert, and almost total precision(More)
The AGROVOC multilingual thesaurus maintained by the Food and Agriculture Organization of the United Nations (FAO) is now published as linked data. In order to reach this goal AGROVOC was expressed in Simple Knowledge Organization System (SKOS), and its concepts provided with dereferenceable URIs. AGROVOC is now aligned with ten other multilingual knowledge(More)
We address the issue of providing topic driven access to full text documents. The methodology we propose is a combination of topic segmentation and information retrieval techniques. By segmenting the text into topic driven segments, we obtain small and coherent documents that can be used in two ways: as a basis for automatically generating hypertext links,(More)
When presented with a retrieved document, users of a search engine are usually left with the task of pinning down the relevant information inside the document. Often this is done by a time-consuming combination of skimming, scrolling and Ctrl+F. In the setting of a digital library for scientific literature the issue is especially urgent when dealing with(More)