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1. |
Record Nr. |
UNINA9910557256603321 |
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Autore |
Parsons Michael H |
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Titolo |
Trends in Urban Rodent Monitoring and Mitigation: Improving Our Understanding of Population and Disease Ecology, Surveillance and Control |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (166 p.) |
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Soggetti |
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Ecological science, the Biosphere |
Science: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact |
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2. |
Record Nr. |
UNINA9910346889003321 |
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Autore |
Zhang Melvyn W. B |
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Titolo |
Get Through MRCPsych Paper A : Mock Examination Papers, Two Volume Set |
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Pubbl/distr/stampa |
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KIT Scientific Publishing, 2015 |
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Milton : , : Taylor & Francis Group, , 2017 |
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©2017 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 electronic resource (XVI, 331 p. p.) |
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Altri autori (Persone) |
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HoCyrus S. H |
HoRoger |
TreasadenI. H |
PuriBasant |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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According to the Semantic Web a formal representation of knowledge is described by an ontology. This formal representation enables a unique identification of elements within an ontology. By the use of natural language for element annotation, ambiguity occurs and a unique element identification based on natural language cannot be guaranteed. This book describes an approach to identify the most relevant element described by a natural language term by reducing the aspect of ambiguity to a minimum. |
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