Re-engineering Data with 4D Ontologies and Graph Databases

Autor:	George Foy, Chris Partridge, Sergio de Cesare
Rok vydání:	2013
Předmět:	Open government Graph database Database Computer science Process (engineering) business.industry Big data Ontology (information science) computer.software_genre Data science Ontology components Information system Raw data business computer
Zdroj:	Lecture Notes in Business Information Processing ISBN: 9783642384899 CAiSE Workshops
DOI:	10.1007/978-3-642-38490-5_29
Popis:	The amount of data that is being made available on the Web is increasing. This provides business organisations with the opportunity to acquire large datasets in order to offer novel information services or to better market existing products and services. Much of this data is now publicly available (e.g., thanks to initiatives such as Open Government Data). The challenge from a corporate perspective is to make sense of the third party data and transform it so that it can more easily integrate with their existing corporate data or with datasets with a different provenance. This paper presents research-in-progress aimed at semantically transforming raw data on U.K. registered companies. The approach adopted is based on BORO (a 4D foundational ontology and re-engineering method) and the target technological platform is Neo4J (a graph database). The primary challenges encountered are (1) re-engineering the raw data into a 4D ontology and (2) representing the 4D ontology into a graph database. The paper will discuss such challenges and explain the transformation process that is currently being adopted.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f5d82810279f093c18d153bfd7c984c3 https://doi.org/10.1007/978-3-642-38490-5_29 Zobrazit plný text záznamu