Decision-making is one of the critical activities ofmanagement in business.However,decision support systems that support management decision-making activities lack the semantics involved in responding to semantic quer...Decision-making is one of the critical activities ofmanagement in business.However,decision support systems that support management decision-making activities lack the semantics involved in responding to semantic queries involving reasoning.We consider an ontology-based knowledge base that covers linked data about organizations,people and activities in a supply chain.In this paper,we explore how to effectively answer semantic queries to support management decision-making,where custom rules are employed for answering qualitative queries.We explore the ontological data representation and a similarity measure for data integration.We present a hybrid reasoning algorithm for answering qualitative queries.This algorithm adapts the reasoner such that,when proving a goal,it does a simple retrieval when it encounters trusted items,and backward-chaining over untrusted items.We provide a case study and evaluate the hybrid reasoning algorithm on scalability,query processing time and support for management decision-making.展开更多
文摘Decision-making is one of the critical activities ofmanagement in business.However,decision support systems that support management decision-making activities lack the semantics involved in responding to semantic queries involving reasoning.We consider an ontology-based knowledge base that covers linked data about organizations,people and activities in a supply chain.In this paper,we explore how to effectively answer semantic queries to support management decision-making,where custom rules are employed for answering qualitative queries.We explore the ontological data representation and a similarity measure for data integration.We present a hybrid reasoning algorithm for answering qualitative queries.This algorithm adapts the reasoner such that,when proving a goal,it does a simple retrieval when it encounters trusted items,and backward-chaining over untrusted items.We provide a case study and evaluate the hybrid reasoning algorithm on scalability,query processing time and support for management decision-making.
