Carmelo Fabio Longo, C. Santoro, Federico Fausto Santoro
{"title":"基于自然语言交互的多域辅助智能体意义提取","authors":"Carmelo Fabio Longo, C. Santoro, Federico Fausto Santoro","doi":"10.1109/WETICE.2019.00013","DOIUrl":null,"url":null,"abstract":"This paper presents a software architecture to let users interact with their smart home devices, through the commonly used social network channels. The software, called FABULOS, is the result of the combination of components used to interact with devices and social networks, and a rule-based artificial intelligence, which implements the base logic for the automation. The core of the software architecture is the translation service, which has the objective of extracting the meaning of the sentences provided by text and voice messages by users in natural language, transforming them into proper device commands. In order to achieve this, the proposed solution relies on an approach which has the capability to interpret and extract the meaning of the intentions plus the entities involved, associated to the sentences sent by the users. A description of a realistic casestudy, which shows an example of how the proposed software behaves in a real interaction with an user, is also included in the paper.","PeriodicalId":116875,"journal":{"name":"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Meaning Extraction in a Domotic Assistant Agent Interacting by Means of Natural Language\",\"authors\":\"Carmelo Fabio Longo, C. Santoro, Federico Fausto Santoro\",\"doi\":\"10.1109/WETICE.2019.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a software architecture to let users interact with their smart home devices, through the commonly used social network channels. The software, called FABULOS, is the result of the combination of components used to interact with devices and social networks, and a rule-based artificial intelligence, which implements the base logic for the automation. The core of the software architecture is the translation service, which has the objective of extracting the meaning of the sentences provided by text and voice messages by users in natural language, transforming them into proper device commands. In order to achieve this, the proposed solution relies on an approach which has the capability to interpret and extract the meaning of the intentions plus the entities involved, associated to the sentences sent by the users. A description of a realistic casestudy, which shows an example of how the proposed software behaves in a real interaction with an user, is also included in the paper.\",\"PeriodicalId\":116875,\"journal\":{\"name\":\"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WETICE.2019.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2019.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Meaning Extraction in a Domotic Assistant Agent Interacting by Means of Natural Language
This paper presents a software architecture to let users interact with their smart home devices, through the commonly used social network channels. The software, called FABULOS, is the result of the combination of components used to interact with devices and social networks, and a rule-based artificial intelligence, which implements the base logic for the automation. The core of the software architecture is the translation service, which has the objective of extracting the meaning of the sentences provided by text and voice messages by users in natural language, transforming them into proper device commands. In order to achieve this, the proposed solution relies on an approach which has the capability to interpret and extract the meaning of the intentions plus the entities involved, associated to the sentences sent by the users. A description of a realistic casestudy, which shows an example of how the proposed software behaves in a real interaction with an user, is also included in the paper.