LEADER 04353nam 22006495 450 001 9910349278603321 005 20200703011419.0 010 $a3-030-05618-X 024 7 $a10.1007/978-3-030-05618-6 035 $a(CKB)4100000009362632 035 $a(DE-He213)978-3-030-05618-6 035 $a(MiAaPQ)EBC5899367 035 $a(PPN)242825109 035 $a(EXLCZ)994100000009362632 100 $a20190918d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSemantics in Adaptive and Personalised Systems $eMethods, Tools and Applications /$fby Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XVIII, 186 p. 104 illus., 80 illus. in color.) 311 $a3-030-05617-1 320 $aIncludes bibliographical references. 327 $aIntroduction -- Basics of Content Representation -- Encoding Endogenous Semantics -- Encoding Exogenous Semantics -- Adaptive and Personalized Systems based on Semantics -- Conclusions and Future Challenges -- Available Tools and Resources. 330 $aThis monograph gives a complete overview of the techniques and the methods for semantics-aware content representation and shows how to apply such techniques in various use cases, such as recommender systems, user profiling and social media analysis. Throughout the book, the authors provide an extensive analysis of the techniques currently proposed in the literature and cover all the available tools and libraries to implement and exploit such methodologies in real-world scenarios. The book first introduces the problem of information overload and the reasons why content-based information needs to be taken into account. Next, the basics of Natural Language Processing are provided, by describing operations such as tokenization, stopword removal, lemmatization, stemming, part-of-speech tagging, along with the main problems and issues. Finally, the book describes the different approaches for semantics-aware content representation: such approaches are split into ?exogenous? and ?endogenous? ones, depending on whether external knowledge sources as DBpedia or geometrical models and distributional semantics are used, respectively. To conclude, several successful use cases and an extensive list of available tools and resources to implement the approaches are shown. Semantics in Adaptive and Personalised Systems definitely fills the gap between the extensive literature on content-based recommender systems, natural language processing, and the different types of semantics-aware representations. 606 $aArtificial intelligence 606 $aApplication software 606 $aPersonal computers 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aPersonal Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I24083 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aPersonal computers. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aPersonal Computing. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 676 $a006 700 $aLops$b Pasquale$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065077 702 $aMusto$b Cataldo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNarducci$b Fedelucio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSemeraro$b Giovanni$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349278603321 996 $aSemantics in Adaptive and Personalised Systems$92543120 997 $aUNINA