{"title":"自然语言处理本体","authors":"Razieh Adelkhah, M. Shamsfard, Niloofar Naderian","doi":"10.1109/ICWR.2019.8765269","DOIUrl":null,"url":null,"abstract":"In this paper, we describe our proposed methodology for constructing an ontology of natural language processing (NLP). We use a semi-automatic method; a combination of rule-based and machine learning techniques; to construct and populate an ontology with bilingual (English-Persian) concept labels (lexicon) and evaluate it manually. This methodology results in a complete ontology in the natural language processing domain with 887 concepts, 88 relations, and 71 features. The built ontology is populated with near 36000 NLP related papers and 32000 authors, and about 201000 \"is_Related_to\", 83500 \"is_Author_of\", and 29000 \"Presented_in\" relations. The instantiation is done to enable applications find experts, publications and institutions related to various topics in NLP field.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"12 1","pages":"128-133"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Ontology of Natural Language Processing\",\"authors\":\"Razieh Adelkhah, M. Shamsfard, Niloofar Naderian\",\"doi\":\"10.1109/ICWR.2019.8765269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we describe our proposed methodology for constructing an ontology of natural language processing (NLP). We use a semi-automatic method; a combination of rule-based and machine learning techniques; to construct and populate an ontology with bilingual (English-Persian) concept labels (lexicon) and evaluate it manually. This methodology results in a complete ontology in the natural language processing domain with 887 concepts, 88 relations, and 71 features. The built ontology is populated with near 36000 NLP related papers and 32000 authors, and about 201000 \\\"is_Related_to\\\", 83500 \\\"is_Author_of\\\", and 29000 \\\"Presented_in\\\" relations. The instantiation is done to enable applications find experts, publications and institutions related to various topics in NLP field.\",\"PeriodicalId\":6680,\"journal\":{\"name\":\"2019 5th International Conference on Web Research (ICWR)\",\"volume\":\"12 1\",\"pages\":\"128-133\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Web Research (ICWR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWR.2019.8765269\",\"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 5th International Conference on Web Research (ICWR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWR.2019.8765269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we describe our proposed methodology for constructing an ontology of natural language processing (NLP). We use a semi-automatic method; a combination of rule-based and machine learning techniques; to construct and populate an ontology with bilingual (English-Persian) concept labels (lexicon) and evaluate it manually. This methodology results in a complete ontology in the natural language processing domain with 887 concepts, 88 relations, and 71 features. The built ontology is populated with near 36000 NLP related papers and 32000 authors, and about 201000 "is_Related_to", 83500 "is_Author_of", and 29000 "Presented_in" relations. The instantiation is done to enable applications find experts, publications and institutions related to various topics in NLP field.
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