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Lu, J.; Xu, Q.: Ontologies and big data considerations for effective intelligence (2017)
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- Content
- Inhalt: Interactive visual analytics of big data / Carson K.-S. Leung [and 4 others] --Knowledge discovery for large databases in education institutes / Robab Saadatdoost [and 3 others] --Spatial databases: an overview / Grace L. Samson [and 3 others] -- The impact of the mode of data representation for the result quality of the detection and filtering of spam / Reda Mohamed Hamou, Abdelmalek Amine, Moulay Tahar -- Debunking intermediary censorship framework in social media via a content retrieval and classification software / Baramee Navanopparatskul, Sukree Sinthupinyo, Pirongrong Ramasoota -- Semantic approach to web-based discovery of unknowns to enhance intelligence gathering / Natalia Danilova, David Stupples -- Securing financial XML transactions using intelligent fuzzy classification techniques: a smart fuzzy-based model for financial XML transactions security using XML encryption / Faisal Tawfiq Ammari, Joan Lu -- Building a secured XML real-time interactive data exchange architecture / Yousef E. Rabadi, Joan Lu -- User query enhancement for behavioral targeting / Wei Xiong, Y. F. Brook Wu -- A generic model of ontology to visualize information science domain (OIS) / Ahlam F. Sawsaa, Joan Lu -- Research background on ontology / Ahlam F. Sawsaa, Joan Lu -- Methodology of creating ontology of information science (OIS) / Ahlam F. Sawsaa, Joan Lu -- Modelling design of OIS ontology / Ahlam F. Sawsaa, Joan Lu Findings for ontology in IS and discussion / Ahlam F. Sawsaa, Joan Lu -- Final remarks for the investigation in ontology in IS and possible future directions / Ahlam F. Sawsaa, Joan Lu.
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Stuart, D.: Practical ontologies for information professionals (2016)
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- Abstract
- Practical Ontologies for Information Professionals provides an accessible introduction and exploration of ontologies and demonstrates their value to information professionals. More data and information is being created than ever before. Ontologies, formal representations of knowledge with rich semantic relationships, have become increasingly important in the context of today's information overload and data deluge. The publishing and sharing of explicit explanations for a wide variety of conceptualizations, in a machine readable format, has the power to both improve information retrieval and discover new knowledge. Information professionals are key contributors to the development of new, and increasingly useful, ontologies. Practical Ontologies for Information Professionals provides an accessible introduction to the following: defining the concept of ontologies and why they are increasingly important to information professionals ontologies and the semantic web existing ontologies, such as RDF, RDFS, SKOS, and OWL2 adopting and building ontologies, showing how to avoid repetition of work and how to build a simple ontology interrogating ontologies for reuse the future of ontologies and the role of the information professional in their development and use. This book will be useful reading for information professionals in libraries and other cultural heritage institutions who work with digitalization projects, cataloguing and classification and information retrieval. It will also be useful to LIS students who are new to the field.
- Footnote
- Rez. in: Cataloging and classification quarterly 55(2017) no.6, S.413-414 (Christine DeZelar-Tiedman).
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Euzenat, J.; Shvaiko, P.: Ontology matching (2010)
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- Date
- 20. 6.2012 19:08:22
