2026-10-15T02:41:19Z https://www.scidb.cn/oai

10.11922/sciencedb.j00104.00061 2020-10-17T16:19:31Z

2020-10-17 KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access doi:10.11922/sciencedb.j00104.00061 en One table and five figures of this paper. Table 1 is a summary of the distinguishing features of varying computational cost. Figure 1 is a high-level overview of the four approaches, where Lx means (declarative) representation language and Qx the query language. K is shorthand for the information and knowledge-level content and D is shorthand for instance-level content, irrespective of the formalism and technology used. Figure 2 shows two graphical renderings of a sample ARM schema, resembling a relational model graphical notation (left; source: based on a section of the diagram in ref. [10]) and in ontology-like notation similar to the ARM notation in ref.[25]. Figure 3 shows extending ARM+SQLP toward KnowID, i.e., adding a knowledge layer to the architecture, into the Knowledge-driven Information and Data access, KnowID, architecture. Figure 4 shows possible EER diagram reconstructed from the ARM diagram of Example 2. Figure 5 is an overview of the KnowID transformation tool architecture. Extended entity-relationship diagrams; Abstract relational model; Ontology-based data access Pablo Rubén Fillottrani C. Maria Keet PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1162/dint_a_00060 Science Data Bank