04353nam 22006495 450 991034927860332120200703011419.03-030-05618-X10.1007/978-3-030-05618-6(CKB)4100000009362632(DE-He213)978-3-030-05618-6(MiAaPQ)EBC5899367(PPN)242825109(EXLCZ)99410000000936263220190918d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierSemantics in Adaptive and Personalised Systems Methods, Tools and Applications /by Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XVIII, 186 p. 104 illus., 80 illus. in color.) 3-030-05617-1 Includes bibliographical references.Introduction -- 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.This 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.Artificial intelligenceApplication softwarePersonal computersData miningArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Personal Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I24083Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial intelligence.Application software.Personal computers.Data mining.Artificial Intelligence.Information Systems Applications (incl. Internet).Personal Computing.Data Mining and Knowledge Discovery.006.3006Lops Pasqualeauthttp://id.loc.gov/vocabulary/relators/aut1065077Musto Cataldoauthttp://id.loc.gov/vocabulary/relators/autNarducci Fedelucioauthttp://id.loc.gov/vocabulary/relators/autSemeraro Giovanniauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349278603321Semantics in Adaptive and Personalised Systems2543120UNINA