Semi automatic extraction of a peculiar vucabulary in notary domain
Abstract
En
The bureaucratic domain and the notary one, in particular, are characterized by a huge amount of unstructured information. In order to opportunely manage the knowledge contained within these documents for structuring, indexing and retrieval purposes, a suitable semantic-lexical approach requires a domain vocabulary useful for a quick identification of relevant information. In this paper we provide a description of a system for semi-automatic extraction of a terminological vocabulary, representative of the notary domain, based on the analysis and processing of a significant collection of notary documents. In addition, the extracted peculiar lexicon will provide the basis for the construction of the domain conceptual system, able to perform semantic processing of the document contents.
The bureaucratic domain and the notary one, in particular, are characterized by a huge amount of unstructured information. In order to opportunely manage the knowledge contained within these documents for structuring, indexing and retrieval purposes, a suitable semantic-lexical approach requires a domain vocabulary useful for a quick identification of relevant information. In this paper we provide a description of a system for semi-automatic extraction of a terminological vocabulary, representative of the notary domain, based on the analysis and processing of a significant collection of notary documents. In addition, the extracted peculiar lexicon will provide the basis for the construction of the domain conceptual system, able to perform semantic processing of the document contents.
DOI Code:
§
Keywords:
Peculiar Lexicon; Peculiar Vocabulary; NLP; Legal Information System
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