title: ELDAR, a knowledge base system on microcomputer for electrolyte solutions. The factual knowledge of ELDAR.
abstract: The knowledge base system ELDAR (ELectrolyte DAta Regensburg), consisting of data base, method base, rule base, and communication manager, classifies the knowledge of electrolyte solutions into factual, algorithmic, and rule knowledge. In this paper information is given on the factual knowledge of ELDAR and the mapping of facts in Codd's relational data model with an extension of its "1st Normal Form" to repeating attributes. ELDAR offers equal user interfaces for all factual knowledge services, such as literature, data, thesaurus, module, parameter, basic data, and rule retrieval.
authors.affiliation: Institute for Physical and Theoretical Chemistry, University of Regensburg, Federal Republic of Germany.
authors.forename: J
authors.initials: J
authors.lastname: Barthel
authors.forename: H
authors.initials: H
authors.lastname: Popp
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D003199:Computer Systems; D004573:Electrolytes; D008838:Microcomputers; D012996:Solutions; D014584:User-Computer Interface
chemical_list: D004573:Electrolytes; D012996:Solutions