This document discusses making semantic technologies more accessible to non-experts by combining data semantics, mathematical theories of declarative knowledge, and application semantics expressed in English. It proposes a browser-based system for writing and running applications using business rules in open vocabulary English. Examples demonstrate resolving semantic differences between retailer and manufacturer ontology data and answering questions about oil industry SQL data, both through English explanations. The goal is to bridge the gap between people and machines through natural language.
This document contains a quiz with 15 multiple choice questions on current affairs from October 2011 related to banking clerical exams in India. The questions cover topics like state land acquisition bills, mining bill profits sharing, award winners, sports players, geopolitical events in China, Libya, and the Middle East.
A wiki for_business_rules_in_open_vocabulary_executable_englishAdrian Walker
This document describes an online system that functions as a wiki for business rules written in open vocabulary English. The system allows users to collaboratively write and execute business rules directly in a browser. It integrates data semantics, inference methods, and the meaning of English sentences so the rules can be indexed by search engines and the system may be useful for semantic web applications. Several examples are provided to illustrate how the system works, including examples involving name resolution, querying RDF data, OWL inferencing, an oil industry supply chain, and a bioinformatics ontology.
This document discusses making semantic technologies more accessible to non-experts by combining data semantics, mathematical theories of declarative knowledge, and application semantics expressed in English. It proposes a browser-based system for writing and running applications using business rules in open vocabulary English. Examples demonstrate resolving semantic differences between retailer and manufacturer ontology data and answering questions about oil industry SQL data, both through English explanations. The goal is to bridge the gap between people and machines through natural language.
This document contains a quiz with 15 multiple choice questions on current affairs from October 2011 related to banking clerical exams in India. The questions cover topics like state land acquisition bills, mining bill profits sharing, award winners, sports players, geopolitical events in China, Libya, and the Middle East.
A wiki for_business_rules_in_open_vocabulary_executable_englishAdrian Walker
This document describes an online system that functions as a wiki for business rules written in open vocabulary English. The system allows users to collaboratively write and execute business rules directly in a browser. It integrates data semantics, inference methods, and the meaning of English sentences so the rules can be indexed by search engines and the system may be useful for semantic web applications. Several examples are provided to illustrate how the system works, including examples involving name resolution, querying RDF data, OWL inferencing, an oil industry supply chain, and a bioinformatics ontology.