LEADER 04158nam 22006015 450 001 9910299954303321 005 20200706082221.0 010 $a3-319-75681-8 024 7 $a10.1007/978-3-319-75681-3 035 $a(CKB)4100000002892420 035 $a(DE-He213)978-3-319-75681-3 035 $a(MiAaPQ)EBC6298495 035 $a(MiAaPQ)EBC5592037 035 $a(Au-PeEL)EBL5592037 035 $a(OCoLC)1029080160 035 $a(PPN)225550180 035 $a(EXLCZ)994100000002892420 100 $a20180316d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasuring and Analysing the Use of Ontologies $eA Semantic Framework for Measuring Ontology Usage /$fby Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXIX, 288 p. 107 illus., 88 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v767 311 $a3-319-75679-6 320 $aIncludes bibliographical references. 327 $aMotivation -- Closing the Loop: Placing Ontology Usage Analysis in the Ontology Development and Deployment Lifecycle -- Ontology Usage Analysis Framework (OUSAF) -- Identification Phase : Ontology Usage Network Analysis Framework (OUN-AF) -- Investigation Phase: Empirical Analysis of Domain Ontology Usage (EMP-AF). 330 $aThis unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders. Where possible it improves and reuses terms in existing vocabularies/ontologies, as recommended by the Linked Data community. Recent advances in the Semantic Web have led to a proliferation of Resource Description Framework (RDF) data, which employ ontologies to semantically describe the information on the Web making it equally understandable for both humans and machines. However, to create a network effect, it is important that selective ontologies are used by more data publishers to improve the value of that ontology. For this to happen, it is vital to discover what is being used from an ontology to semantically annotate the information on the Web specific to a given domain. Answers to such basic but crucial questions can only be achieved by ascertaining how ontologies in the current semantic web are being utilized and adopted. The proposed frameworks to obtain such insights are explained with real-world examples to provide a clear and detailed description of ontology usage analysis. Both theoretical and practical, the book is of value to academics and professionals working in industry. Specifically, it is of primary interest to researchers, graduate students and practitioners in the area of the Semantic Web and its various real-world applications. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v767 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.332 700 $aAshraf$b Jamshaid$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065128 702 $aHussain$b Omar K$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHussain$b Farookh Khadeer$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChang$b Elizabeth J$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299954303321 996 $aMeasuring and Analysing the Use of Ontologies$92543274 997 $aUNINA