{"title":"这是一个心理学和行为科学的知识库","authors":"A. G. Castro, Isabel Barth, E. Weichselgartner","doi":"10.1145/2809563.2809604","DOIUrl":null,"url":null,"abstract":"In this paper we present the Semantic Enhancement for the Open Journal Systems, SE4OJS, to generate semantically annotated documents. With this tool, we created a knowledgebase for psychology, KOBPSY. We have identified structural document elements such as authors, sections, and domain knowledge about diseases, population, treatments and more. Our corpus of documents comes from PsychOpen. The datasets we are building for each article include i) the RDF description of article metadata, e.g. information on title, keywords, authors and editors; ii) structural information such as sections, section types, paragraphs, in-text citations; and also, iii) RDF for content and annotations. We are structuring the annotations by using the Annotation Ontology. Our approach makes it possible to build concept-based queries; we are delivering a flexible, reusable and adaptable set of tools for metadata enrichment and semantic processing of scientific documents in psychology.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"KOBPSY, a knowledge base in psychology and behavioral sciences\",\"authors\":\"A. G. Castro, Isabel Barth, E. Weichselgartner\",\"doi\":\"10.1145/2809563.2809604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present the Semantic Enhancement for the Open Journal Systems, SE4OJS, to generate semantically annotated documents. With this tool, we created a knowledgebase for psychology, KOBPSY. We have identified structural document elements such as authors, sections, and domain knowledge about diseases, population, treatments and more. Our corpus of documents comes from PsychOpen. The datasets we are building for each article include i) the RDF description of article metadata, e.g. information on title, keywords, authors and editors; ii) structural information such as sections, section types, paragraphs, in-text citations; and also, iii) RDF for content and annotations. We are structuring the annotations by using the Annotation Ontology. Our approach makes it possible to build concept-based queries; we are delivering a flexible, reusable and adaptable set of tools for metadata enrichment and semantic processing of scientific documents in psychology.\",\"PeriodicalId\":20526,\"journal\":{\"name\":\"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business\",\"volume\":\"26 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2809563.2809604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2809563.2809604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
KOBPSY, a knowledge base in psychology and behavioral sciences
In this paper we present the Semantic Enhancement for the Open Journal Systems, SE4OJS, to generate semantically annotated documents. With this tool, we created a knowledgebase for psychology, KOBPSY. We have identified structural document elements such as authors, sections, and domain knowledge about diseases, population, treatments and more. Our corpus of documents comes from PsychOpen. The datasets we are building for each article include i) the RDF description of article metadata, e.g. information on title, keywords, authors and editors; ii) structural information such as sections, section types, paragraphs, in-text citations; and also, iii) RDF for content and annotations. We are structuring the annotations by using the Annotation Ontology. Our approach makes it possible to build concept-based queries; we are delivering a flexible, reusable and adaptable set of tools for metadata enrichment and semantic processing of scientific documents in psychology.