LEADER 04634nam 22006135 450 001 996465361703316 005 20220322180834.0 010 $a3-030-37439-4 024 7 $a10.1007/978-3-030-37439-6 035 $a(CKB)4100000010122122 035 $a(DE-He213)978-3-030-37439-6 035 $a(MiAaPQ)EBC6033751 035 $a(PPN)242848974 035 $a(EXLCZ)994100000010122122 100 $a20200131d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Graphs$b[electronic resource] $eMethodology, Tools and Selected Use Cases /$fby Dieter Fensel, Umutcan ?im?ek, Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk, Ioan Toma, Jürgen Umbrich, Alexander Wahler 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XVI, 147 p. 16 illus.) 311 $a3-030-37438-6 327 $aIntroduction: What is a Knowledge Graph? -- How to build a Knowledge Graph -- How to use a Knowledge Graph -- Why we need Knowledge Graphs: Applications -- Conclusions -- References -- Appendix -- Index. 330 $aThis book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction; implementation; and validation and verification of semantic annotations and their integration into knowledge graphs. It also presents lifecycle-based approaches for semi-automatic and automatic curation of these graphs, such as approaches for assessment, error correction, and enrichment of knowledge graphs with other static and dynamic resources. Chapter 1 defines knowledge graphs, focusing on the impact of various approaches rather than mathematical precision. Chapter 2 details how knowledge graphs are built, implemented, maintained, and deployed. Chapter 3 then introduces relevant application layers that can be built on top of such knowledge graphs, and explains how inference can be used to define views on such graphs, making it a useful resource for open and service-oriented dialog systems. Chapter 4 discusses applications of knowledge graph technologies for e-tourism and use cases for other verticals. Lastly, Chapter 5 provides a summary and sketches directions for future work. The additional appendix introduces an abstract syntax and semantics for domain specifications that are used to adapt schema.org to specific domains and tasks. To illustrate the practical use of the approaches presented, the book discusses several pilots with a focus on conversational interfaces, describing how to exploit knowledge graphs for e-marketing and e-commerce. It is intended for advanced professionals and researchers requiring a brief introduction to knowledge graphs and their implementation. 606 $aKnowledge representation (Information theory)  606 $aApplication software 606 $aKnowledge based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I21030 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 615 0$aKnowledge representation (Information theory) . 615 0$aApplication software. 615 14$aKnowledge based Systems. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputer Appl. in Administrative Data Processing. 676 $a006 700 $aFensel$b Dieter$4aut$4http://id.loc.gov/vocabulary/relators/aut$0542875 702 $a?im?ek$b Umutcan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAngele$b Kevin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHuaman$b Elwin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKärle$b Elias$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPanasiuk$b Oleksandra$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aToma$b Ioan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aUmbrich$b Jürgen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWahler$b Alexander$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465361703316 996 $aKnowledge Graphs$92106228 997 $aUNISA