{"id":{"repo_id":"iastate","oai_identifier":"oai:dr.lib.iastate.edu:20.500.12876/qzoD8xPw"},"canonical_url":"https://search.dev.ndltd.org/etd/iastate/oai:dr.lib.iastate.edu:20.500.12876/qzoD8xPw","repository":{"repo_id":"iastate","name":"Iowa State University","base_url":"https://dr.lib.iastate.edu/server/oai/request"},"display":{"title":"Design of a query system and consistency checker for expert system maintenance using an intelligent database","abstract":"Expert Systems have been around for quite a while. Their use is ever-increasing: from diagnosis to quality, from production and manufacturing to law. It takes time and efforts to develop an expert system. Knowledge engineering, the reduction of a large knowledge-domain to a to-the-point set of rules and facts, is a major factor in the design and development of an expert system. As there is an upsurge in knowledge everyday, it has become everyone's concern as to how to keep an expert system up and running over a period of time without recreating the whole system, and without expending more of knowledge engineer's time. In this thesis, these issues are discussed. A system, which queries an expert and gets responses from him/her is suggested. The system also needs to analyze the new knowledge and test for its consistency, currency and specificity. The system tells the expert about the state of the system and informs him/her if the new knowledge needs to be added to the system. It also points out inconsistencies, if any, of this knowledge vis-a-vis the current knowledge in the system. Intelligent database system is used to design the query system and the consistency checker.","abstract_html":"Expert Systems have been around for quite a while. Their use is ever-increasing: from diagnosis to quality, from production and manufacturing to law. It takes time and efforts to develop an expert system. Knowledge engineering, the reduction of a large knowledge-domain to a to-the-point set of rules and facts, is a major factor in the design and development of an expert system. As there is an upsurge in knowledge everyday, it has become everyone's concern as to how to keep an expert system up and running over a period of time without recreating the whole system, and without expending more of knowledge engineer's time. In this thesis, these issues are discussed. A system, which queries an expert and gets responses from him/her is suggested. The system also needs to analyze the new knowledge and test for its consistency, currency and specificity. The system tells the expert about the state of the system and informs him/her if the new knowledge needs to be added to the system. It also points out inconsistencies, if any, of this knowledge vis-a-vis the current knowledge in the system. Intelligent database system is used to design the query system and the consistency checker.","abstract_has_math":false,"creators":["Chandani, Salim S."],"institution":null,"degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Industrial Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Barta, Thomas A."],"committee_chairs":[],"committee_members":[],"year":1992,"date_issued":"1992","date_published":"1992","updated_at":"2026-07-24T02:39:53Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dr.lib.iastate.edu/handle/20.500.12876/qzoD8xPw","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Barta, Thomas A."]},{"key":"dc:creator","label":"Author","values":["Chandani, Salim S."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-02-20T19:36:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-02-20T19:36:13Z"]},{"key":"dc:date.issued","label":"Date","values":["1992"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://dr.lib.iastate.edu/handle/20.500.12876/qzoD8xPw"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Expert Systems have been around for quite a while. Their use is ever-increasing: from diagnosis to quality, from production and manufacturing to law. It takes time and efforts to develop an expert system. Knowledge engineering, the reduction of a large knowledge-domain to a to-the-point set of rules and facts, is a major factor in the design and development of an expert system. As there is an upsurge in knowledge everyday, it has become everyone's concern as to how to keep an expert system up and running over a period of time without recreating the whole system, and without expending more of knowledge engineer's time. In this thesis, these issues are discussed. A system, which queries an expert and gets responses from him/her is suggested. The system also needs to analyze the new knowledge and test for its consistency, currency and specificity. The system tells the expert about the state of the system and informs him/her if the new knowledge needs to be added to the system. It also points out inconsistencies, if any, of this knowledge vis-a-vis the current knowledge in the system. Intelligent database system is used to design the query system and the consistency checker."]},{"key":"dc:title","label":"Title","values":["Design of a query system and consistency checker for expert system maintenance using an intelligent database"]}]}],"canonical_facts":{"dc:contributor.advisor":["Barta, Thomas A."],"dc:creator":["Chandani, Salim S."],"dc:date.accessioned":["2025-02-20T19:36:13Z"],"dc:date.available":["2025-02-20T19:36:13Z"],"dc:date.issued":["1992"],"dc:description.abstract":["Expert Systems have been around for quite a while. Their use is ever-increasing: from diagnosis to quality, from production and manufacturing to law. It takes time and efforts to develop an expert system. Knowledge engineering, the reduction of a large knowledge-domain to a to-the-point set of rules and facts, is a major factor in the design and development of an expert system. As there is an upsurge in knowledge everyday, it has become everyone's concern as to how to keep an expert system up and running over a period of time without recreating the whole system, and without expending more of knowledge engineer's time. In this thesis, these issues are discussed. A system, which queries an expert and gets responses from him/her is suggested. The system also needs to analyze the new knowledge and test for its consistency, currency and specificity. The system tells the expert about the state of the system and informs him/her if the new knowledge needs to be added to the system. It also points out inconsistencies, if any, of this knowledge vis-a-vis the current knowledge in the system. Intelligent database system is used to design the query system and the consistency checker."],"dc:identifier.uri":["https://dr.lib.iastate.edu/handle/20.500.12876/qzoD8xPw"],"dc:language.iso":["en"],"dc:title":["Design of a query system and consistency checker for expert system maintenance using an intelligent database"],"dc:type":["thesis"],"thesis:degree_discipline":["Industrial Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"]},"updated_at":"2026-07-24T02:39:53Z"}