LEADER 01060nam0-22003611i-450- 001 990001484590403321 005 20090720091557.0 010 $a0-201-31011-2 035 $a000148459 035 $aFED01000148459 035 $a(Aleph)000148459FED01 035 $a000148459 100 $a20010627d1998----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa---a---001yy 200 1 $aPattern languages of program design 3$fedited by Robert C. Martin, Dirk Riehle, Frank Buschmann 210 $aReading (Mass.)$cAddison-Wesley Longman$dc1998 215 $axviii, 634 p.$cill.$d24 cm 225 1 $a<>Software Patterns Series 610 0 $aProgrammazione 610 0 $aObject-oriented programming 676 $a005.1 702 1$aBuschmann,$bFrank 702 1$aMartin,$bRobert C. 702 1$aRiedle,$bDirk 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001484590403321 952 $a005.1-PAT-3$b1037$fSC1 959 $aSC1 996 $aPattern languages of program design 3$9378096 997 $aUNINA LEADER 03097nam 22005415 450 001 9910983057503321 005 20250201115250.0 010 $a9783658458775 010 $a3658458771 024 7 $a10.1007/978-3-658-45877-5 035 $a(CKB)37447306900041 035 $a(MiAaPQ)EBC31897064 035 $a(Au-PeEL)EBL31897064 035 $a(DE-He213)978-3-658-45877-5 035 $a(OCoLC)1496394151 035 $a(EXLCZ)9937447306900041 100 $a20250201d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImproving Decision Making Using Semantic Web Technologies /$fby Tek Raj Chhetri 205 $a1st ed. 2025. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2025. 215 $a1 online resource (301 pages) 225 0 $aComputer Science and Engineering (German Language) Series 311 08$a9783658458768 311 08$a3658458763 327 $aIntroduction -- Publications -- Bibliography. 330 $aAs technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain knowledge, explainability of machine learning (ML), and issues of interoperability, data quality, and GDPR (General Data Protection Regulation) compliance in data sharing hinder effective decision making. This book addresses these critical challenges by exploring how the synergy of semantic technologies (SW), like ontologies and knowledge graphs, with or without ML, can overcome these challenges to improve decision making. Through real-world case studies in data sharing, manufacturing, and agriculture, it offers theoretical and practical insights and guidelines of how SW can enhance prediction accuracy, integrate domain knowledge, support ML explainability, and tackle interoperability, data quality, and GDPR challenges. About the author Dr. Tek Raj Chhetri is currently a postdoctoral associate at the Senseable Intelligence Group at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology, United States. He is the founder and director of CAIR-Nepal (Center for Artificial Intelligence Research Nepal), an artificial intelligence research organization in Nepal. He conducts research in artificial intelligence, knowledge graphs, data privacy, and Internet of Things (IoT) data sharing. 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer Science 606 $aArtificial Intelligence 615 0$aComputer science. 615 0$aArtificial intelligence. 615 14$aComputer Science. 615 24$aArtificial Intelligence. 676 $a004 700 $aChhetri$b Tek Raj$01784440 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983057503321 996 $aImproving Decision Making Using Semantic Web Technologies$94317125 997 $aUNINA