1,721,077 research outputs found
LegalHTML: semantic mark-up of legal acts using web technologies
Get PDFWe introduce here LegalHTML, an extension of the HTML language thought for representing legal acts. LegalHTML has been conceived in the context of an exploratory study conducted for the Publications Office of the European Union, with the objective of overcoming the proliferation of formats for the electronic redaction of legal acts, dedicated to different steps of the editorial process (e.g. first draft, content editing, proof reading, introducing semantics, publishing) and of realizing a model and a language that could bind all processes and exigencies under a common umbrella. LegalHTML satisfies these requirements by providing an explicit domain language addressing all structural aspects of an act, such as articles, paragraphs, items, references and an associated ontology (foreseeing both inline annotations through RDFa and explicit RDF code within script elements) providing rich semantics to describe the editorial and jurisdictional history of the act and to insert references to entities of the domain. Being based on HTML, presentation is also offered by the same language, an aspect missing from all most notable standards for the legal domain. Furthermore, LegalHTML addresses consolidation of an act and its subsequent modifications into a single document using a tree-based representation of the original content and of its modified versions. Finally, alongside the language & ontology, we implemented a CSS stylesheet for the default rendering of LegalHTML documents and a JavaScript file imbuing documents with an API supporting TOC generation, footnote cross-references and the said point-in-time visualization of consolidated legal acts
Clustering of terms from translation dictionaries and synonyms lists to automatically Build more structured Linguistic resources
Get PDFLifting tabular data to RDF: a survey
No full textTabular data formats (e.g. CSV and spreadsheets) combine ease of use, versatility and compatibility with information management systems. Despite their numerous advantages, these formats typically rely on column headers and out-of-band agreement to convey semantics. There is clearly a large gap with respect to the Semantic Web, which uses RDF as a graph-based data model, while relying on ontologies for well-defined semantics. Several systems have been developed to close this gap, supporting the conversion of tabular data to RDF. This study is a survey of these systems, which have been analyzed and compared. We identified commonalities and differences among them, discussed different approaches and derived useful insights on the task
A web browser extension for growing-up ontological knowledge from traditional web content
No full textBilingualism in children with autism spectrum disorders: Italian sign language as a tool for inclusion
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The Protégé Ontoling Plugin - Linguistic Enrichment of Ontologies in the Semantic Web
No full textThis paper presents our approach in establishing
a framework for semi-automatic linguistic enrichment
of ontologies. This effort has been pursued
through the definition and implementation
of a set of general purpose API for accessing a
wide variety of linguistic resources and through
the development of Ontoling, a plug-in for the
popular ontology development tool Protégé,
which allows for browsing of different linguistic
resources and for using their information to enrich
the formal content of ontologies. We describe
here the features and design aspects which
characterize its current releas
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