Unit:
Department of Informatics and TelecommunicationsΠληροφορική
Author:
MATTHIOUDAKIS NIKOLAOS
Supervisors info:
Μανόλης Κουμπαράκης, Καθηγητής, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Parsing Raptarchis’ legislative documents for Nomothesi@ platform
Translated title:
Parsing Raptarchis’ legislative documents for Nomothesi@ platform
Summary:
With the growth of technology and Internet’s scope there is a huge increase in the volume of data which is accessible to its users. In the last few years, more and more countries are participating in attempts to enrich the category of interconnected data that is associated with legislative knowledge. Access to this knowledge is provided by Nomothesi@, a web search platform for Greek Legislation, implemented using REST technologies and powered by a large amount of information based on the RDF data model describing the legislative relationships that are modeled based on an OWL ontology. The purpose of this work is to extend the platform's existing data with Raptarchis’ legal volumes and to provide its users with a wider range of legal archives, thereby contributing to the representation of the legal knowledge contained in open data related to Greek Legislation. The Raptarchis’ Legislative Collection consists of volumes divided into thematic sections, each containing a collection of legislative sources. In the context of the work, in order to obtain the data that would feed the Nomothesi@ platform, the volumes were broken down into individual legislative sources per text file and a parser written in Java programming language was implemented in order to identify the hierarchical component structures that constitute a legislative source. As a result, this project contributes to expanding the volume of legislative texts accessible to open data for information and encourages their further exploitation.
Main subject category:
Technology - Computer science
Keywords:
Rest Technologies, RDF Date, OWL Ontology, Raptarchis, Legal Resource, Thematic Sections, Parser
