A text segmentation method of Text to Speech Technology based on agricultural ontology theory and semantic search.

摘要

This paper designed a text segmentation method of Text to Speech Technology (TTS) based on agricultural ontology theory and semantic search, which is focused on the provision of agricultural knowledge for farmers in China through call centre. This method incorporated the module of semantic search based on agricultural ontology to process ambiguous phrase, this incorporation is made without any alteration of semantic search module, and not to search anything through ambiguous phrase (key word). Ontology design methodology and semantic inference model based on ontology do not need to be altered neither, but only extending some ontology examples according to concrete agricultural knowledge. This method could reduce the cost of call centre, and also provide an effective channel of agricultural knowledge providing for Chinese farmers.