{"title":"Ontology-Driven Imagery Analysis","authors":"Troy Self, Dave Kolas, Mike Dean","doi":"10.3233/978-1-60750-581-5-91","DOIUrl":"https://doi.org/10.3233/978-1-60750-581-5-91","url":null,"abstract":"This paper presents a new paradigm for imagery analysis where imagery is annotated using terms defined in ontologies, enabling more powerful querying and exploitation of the analysis results. The ontology terms represent the concepts and relationships necessary to effectively describe the objects and activities within a domain of interest. A platform for viewing and editing imagery annotations is described along with a specialized semantic knowledge base capable of efficiently querying the information using semantic, spatial, and temporal qualifiers. The ontologies used for representing the annotations and domain of interest are also described.","PeriodicalId":412076,"journal":{"name":"International Ontology for the Intelligence Community","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127653314","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}
{"title":"Ontologies, Semantic Technologies, and Intelligence: Looking Toward the Future","authors":"L. Obrst, W. Ceusters, T. Janssen","doi":"10.3233/978-1-60750-581-5-213","DOIUrl":"https://doi.org/10.3233/978-1-60750-581-5-213","url":null,"abstract":"This chapter looks at the intersection of intelligence and ontologies and semantic technologies, and tries to characterize the impact of these in the future. It provides a view into some emerging technologies such as query languages and rule standards for the Semantic Web. It also provides some guidance from a different domain, the biomedical domain, and tries to show that realist ontologies, ontologies based on common real world characterizations, have an effective impact on applications in those domains. Finally, it looks at the potential impact of these technologies on intelligence collection and analysis in the future, and makes some predictions.","PeriodicalId":412076,"journal":{"name":"International Ontology for the Intelligence Community","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127190094","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}