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001 978-0-387-48438-9
003 DE-He213
005 20161121230748.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387484389
_9978-0-387-48438-9
024 7 _a10.1007/978-0-387-48438-9
_2doi
050 4 _aQH324.2-324.25
072 7 _aPS
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a570.285
_223
245 1 0 _aSemantic Web
_h[electronic resource] :
_bRevolutionizing Knowledge Discovery in the Life Sciences /
_cedited by Christopher J. O. Baker, Kei-Hoi Cheung.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _aXXII, 446 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aDatabase and Literature Integration -- Semantic Web Approach to Database Integration in the Life Sciences -- Querying Semantic Web Contents -- Knowledge Acquisition from the Biomedical Literature -- Ontologies in the Life Sciences -- Biological Ontologies -- Clinical Ontologies for Discovery Applications -- Ontology Engineering for Biological Applications -- The Evaluation of Ontologies -- OWL for the Novice: A Logical Perspective -- Ontology Visualization -- Techniques for Ontology Visualization -- On Visualization of OWL Ontologies -- Ontologies in Action -- Applying OWL Reasoning to Genomic Data -- Can Semantic Web Technologies Enable Translational Medicine? -- Ontology Design for Biomedical Text Mining -- Using Distributed Knowledge -- Sembowser - Semantic Biological Web Services Registry -- Agent Technologies in the Life Sciences -- Knowledge Discovery for Biology with Taverna -- On the Success of the Semantic Web in the Life Sciences -- Factors Influencing the Adoption of the Semantic Web in the Life Sciences -- Semantic Web Standards: Legal and Social Issues and Implications.
520 _aThe Semantic Web is now a research discipline in its own right and commercial interest in applications of Semantic Web technologies is strong. The advantages of the Semantic Web lie in its ability to present and provide access to complex knowledge in a standardized form making interoperability between distributed databases and middleware achievable. Life Scientists have much to gain from the emergence of the Semantic Web since their work is strongly knowledge-based. Unambiguous, semantically-rich, structured declarations of information have long been a fundamental cornerstone of scientific discourse. To have such information available in machine-readable form makes a whole new generation of scientific software possible. The value that the Semantic Web offers to the Life Sciences is currently under appreciated. A pedagogical oasis is required for interested scientists and bioinformatics professionals, where they can learn about and draw inspiration from the Semantic Web and its component technologies. In this context this book seeks to offer students, researchers, and professionals a glimpse of the technology, its capabilities and the reach of its current implementation in the Life Sciences. This collection of representative topics, written by leading experts, documents important and encouraging first steps showing the utility of the Semantic Web to Life Science research. Semantic Web: Revolutionizing Knowledge Discovery in Life Sciences is divided into six parts that cover the topics of: knowledge integration, knowledge representation, knowledge visualization, utilization of formal knowledge representations, and access to distributed knowledge. The final part considers the viability of the semantic web in life science and the legal challenges that will impact on its establishment. This book may be approached from technical, scientific or application specific perspectives. Component technologies of the Semantic Web (including RDF databases, ontologies, ontological languages, agent systems and web services) are described throughout the book. They are the basic building blocks for creating the Semantic Web infrastructure. Other technologies, such as natural language processing and text mining, which are becoming increasingly important to the Semantic Web, are also discussed. Scientists reading the book will see that the complex needs of biology and medicine are being addressed. Moreover, pioneering Life Scientists have joined forces with Semantic Web developers to build valuable semantic resources for the scientific community. Different areas of computer science (e.g., artificial intelligence, database integration, and visualization) are also being recruited to advance this vision. The ongoing synergy between the Life Sciences and Computer Science is poised to deliver revolutionary discovery tools and new capabilities. As well as providing the background material and critical evaluation criteria for the design and use of meaningful Semantic Web implementations a multitude of examples are provided. These illustrate the diversity of life science tasks that are benefiting from the use of Semantic Web infrastructure and serve to demonstrate the great potential of the Semantic Web in the Life Sciences.
650 0 _aLife sciences.
650 0 _aBiotechnology.
650 0 _aBiology
_xPhilosophy.
650 0 _aHealth informatics.
650 0 _aBioinformatics.
650 0 _aComputational biology.
650 1 4 _aLife Sciences.
650 2 4 _aComputer Appl. in Life Sciences.
650 2 4 _aBioinformatics.
650 2 4 _aBiotechnology.
650 2 4 _aHealth Informatics.
650 2 4 _aPhilosophy of Biology.
700 1 _aBaker, Christopher J. O.
_eeditor.
700 1 _aCheung, Kei-Hoi.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387484365
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-48438-9
912 _aZDB-2-SBL
950 _aBiomedical and Life Sciences (Springer-11642)
999 _c503594
_d503594