KnowID:An Architecture for Efficient Knowledge-Driven Information and Data Access  

作　　者：Pablo Rubén Fillottrani C.Maria Keet 

机构地区：[1]Departamento de Ciencias e Ingeniería de la Computación,Universidad Nacional del Sur,Bahía Blanca,Buenos Aires 8000,Argentina [2]Comisión de Investigaciones Científicas,Provincia de Buenos Aires,Argentina [3]Department of Computer Science,University of Cape Town,Rondebosch 7700,South Africa

出　　处：《Data Intelligence》2020年第4期487-512,共26页数据智能（英文）

摘　　要：Modern information systems require the orchestration of ontologies,conceptual data modeling techniques,and efficient data management so as to provide a means for better informed decision-making and to keep up with new requirements in organizational needs.A major question in delivering such systems,is which components to design and put together to make up the required“knowledge to data”pipeline,as each component and process has trade-offs.In this paper,we introduce a new knowledge-to-data architecture,KnowID.It pulls together both recently proposed components and we add novel transformation rules between Enhanced Entity-Relationship(EER)and the Abstract Relational Model to complete the pipeline.KnowID’s main distinctive architectural features,compared to other ontology-based data access approaches,are that runtime use can avail of the closed world assumption commonly used in information systems and of full SQL augmented with path queries.

关 键 词：Extended entity-relationship diagrams Abstract relational model Ontology-based data access 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]