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Tractability method for ontology development of Semantic Web 语义Web本体开发的可追溯性方法
2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995761
K. U. Danyaro, J. Jaafar, M. S. Liew
{"title":"Tractability method for ontology development of Semantic Web","authors":"K. U. Danyaro, J. Jaafar, M. S. Liew","doi":"10.1109/STAIR.2011.5995761","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995761","url":null,"abstract":"Ontology is an explicit representation of a particular domain of interest. This paper focuses on the inherent problem of intractability (data complexity) due to data capturing for heterogeneous sources. We proposed to follow the tradition of knowledge representation and reasoning processes to develop a Semantic Web. Building query systems is the ultimate goal for this study. Conjunctive queries were adopted over ontology methods to address the data complexity. The Conjunctive queries are the form of queries in first-order logic that deal with conjunction (Λ) and existential quantification (∃) in database atomic formulae. State of the art meteorological and oceanographic domain provides the motivation for this work. We found that the querying method facilitates the tractability in reasoning and logical systems.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123995160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Topic Detection and Tracking interface with named entities approach 使用命名实体方法的主题检测和跟踪接口
2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI: 10.1109/STAIR.2011.5995791
Omar Mabrook A. Bashaddadh, M. Mohd
{"title":"Topic Detection and Tracking interface with named entities approach","authors":"Omar Mabrook A. Bashaddadh, M. Mohd","doi":"10.1109/STAIR.2011.5995791","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995791","url":null,"abstract":"Topic Detection and Tracking (TDT) refer to the technologies and techniques in analysing and handling the vast amount of information arriving continuously from the news stream. Some issues in news monitoring regarding interface design are considered. In this paper we present the techniques and works done in TDT domain. We discuss the named entities approach used in document representation and in user interface. Finally, we present the suggested approach to improve users' performance and to facilitate them to perform an effective TDT task.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124774438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Exploiting Arabic Wikipedia for automatic ontology generation: A proposed approach 利用阿拉伯语维基百科自动生成本体:一种建议的方法
2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-01 DOI: 10.1109/STAIR.2011.5995767
N. Al-Rajebah, Hend Suliman Al-Khalifa, A. Al-Salman
{"title":"Exploiting Arabic Wikipedia for automatic ontology generation: A proposed approach","authors":"N. Al-Rajebah, Hend Suliman Al-Khalifa, A. Al-Salman","doi":"10.1109/STAIR.2011.5995767","DOIUrl":"https://doi.org/10.1109/STAIR.2011.5995767","url":null,"abstract":"Ontological models play an important role in the Semantic Web. Despite being widely spread, there are a few known attempts to build ontologies for the Arabic language. As a result, a lack of Arabic Semantic Web applications is encountered. In this paper, we propose an approach to build ontologies automatically for the Arabic language from Wikipedia. Our approach relies on the semantic field theory such that any Wikipedian article is analyzed to extract semantic relations using its infobox and the list of categories. We will also present our system architecture along with an initial evaluation to evaluate the effectiveness and correctness of the resultant ontological model.","PeriodicalId":376671,"journal":{"name":"2011 International Conference on Semantic Technology and Information Retrieval","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
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