Annotated Documents and Expanded CIDOC-CRM Ontology in the Automatic Construction of a Virtual Museum

Abstract

The Museum of the Person (Museu da Pessoa, MP) is a virtual museum with the purpose of exhibit life stories of common people. Its assets are composed of several interviews involving people whose stories we want to perpetuate. So the museum holds an heterogeneous collection of XML (eXtensible Markup Language) documents that constitute the working repository. The main idea is to extract automatically the information included in the repository in order to build the virtual museum's exhibition rooms. The goal of this paper is to describe an architectural approach to build a system that will create the virtual rooms from the XML repository to enable visitors to lookup individual life stories and also inter-cross information among them. We adopted the standard for museum ontologies CIDOC-CRM (CIDOC Conceptual Reference Model) refined with FOAF (Friend of a Friend) and DBpedia ontologies to represent OntoMP. That ontology is intended to allow a conceptual navigation over the available information. The approach here discussed is based on a TripleStore and uses SPARQL (SPARQL Protocol and RDF Query Language) to extract the information. Aiming at the extraction of meaningful information, we built a text filter that converts the interviews into a RDF triples file that reflects the assets described by the ontology.

Virtual Learning Spaces Creation Based on the Systematic Population of an Ontology

“…Notice that the document analysis is a systematic and a formal task because it is supported on the XML document definition (DTD or XML Schema To process the digital repository composed of three types of documents (basic identification, BI; photography Captions; and Edited Interview) we have built a tool called XML2RDF translator to perform the ingestion task [M1], that is, to obtain and process input data, automatically, producing a triple store (Araújo, 2016;Araújo et al, 2018).…”

“…The text filter was developed using the Compiler Generator system AnTLR 4 (Another Tool for Language Recognition) integrated in AnTLRWorks tool, version 2.1 (Araújo, 2016;Araújo et al, 2018). AnTLR generates a lexical analyzer that implements the desired text filter for data extraction, based on a set of regular expressions.…”

“…This figure shows three transformation rules to process the beginning of the global specification. These three rules (Cabec, Fotos and MP) correspond to the three input files (BI, Photo Captions and edited Interview), respectively (Araújo, 2016;Araújo et al, 2018).…”

“…Regular Expression defines the text pattern to be found in the entry, and Semantic Action specifies how the found concrete text will be transformed (Araújo, 2016;Araújo et al, 2018).…”

“…Thus, when the extractor reads an XML tag that determines the start of one of the three input files, it enters a special AnTLR mode to process the contents of that document (Araújo, 2016;Araújo et al, 2018). To better explain the AnTLR modes, Figure 6 shows an excerpt from the main mode.…”