-
Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013)
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- Pages
- 150 S
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- r
-
Kurzweil, R.: Menschheit 2.0 : die Singularität naht (2014)
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- Date
- 22. 1.2018 17:33:05
- Pages
- XIII, 655 S
-
Rojas, R.: Theorie der neuronalen Netze : eine systematische Einführung (1993)
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- Classification
- QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
- Footnote
- Rez. in: Knowledge organization 21(1994) no.1, S.42-43 (E. Oeser): "Therefore, over and beyond its intrinsic didactic function, this book can be recommended to all those seriously interested in the theoretical foundations of an information processing technology which has already succeeded in closing major gaps which conventional methods have so far been unable to fill"
- Pages
- XVIII,446 S
- RVK
- QH 700 Wirtschaftswissenschaften / Mathematik. Statistik. Ökonometrie. Unternehmensforschung / Ökonometrie (einschließlich Logit-, Probit- und Tobitmodellen, d. h. Modellen mit qualitativen und begrenzt abhängigen Variablen [limited dependent variables]) / Datenverarbeitung. Wirtschaftsinformatik / Kybernetik. Neuronale Netze
-
Vowinkel, B.: Maschinen mit Bewusstsein : wohin führt die künstliche Intelligenz? (2006)
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- Classification
- TXV (FH K)
- GHBS
- TXV (FH K)
- Pages
- XIV, 317 S
-
Daconta, M.C.; Oberst, L.J.; Smith, K.T.: ¬The Semantic Web : A guide to the future of XML, Web services and knowledge management (2003)
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- Abstract
- "The Semantic Web is an extension of the current Web in which information is given well defined meaning, better enabling computers and people to work in cooperation." - Tim Berners Lee, "Scientific American", May 2001. This authoritative guide shows how the "Semantic Web" works technically and how businesses can utilize it to gain a competitive advantage. It explains what taxonomies and ontologies are as well as their importance in constructing the Semantic Web. The companion web site includes further updates as the framework develops and links to related sites.
- Date
- 22. 5.2007 10:37:38
- Pages
- xxii, 281 S
-
Handbook of metadata, semantics and ontologies (2014)
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- Abstract
- Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies. There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape - hence, the need for specialized knowledge and skills in this area. The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.
- Editor
- Sicilia, M.-A.
- Footnote
- Rez. in: Cataloging and classification quarterly 54(2016) no.7, S.504-505 (Claudia Horning).
- Pages
- viii, 570 S
- Type
- s
-
Rubel, A.; Castro, C.; Pham, A.: Algorithms and autonomy : the ethics of automated decision systems (2021)
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- Abstract
- Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core
- Footnote
- Rez. in: JASIST 73(2022) no.10, S.1506-1509 (Madelyn Rose Sanfilippo).
- Pages
- x, 205 S
-
Dreyfus, H.L.: ¬Die Grenzen künstlicher Intelligenz : was Computer nicht können (1985)
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- Content
- Vgl. auch die Standpunkte in: Collins, H.M.: A review of Hubert Dreyfus' What computers still can't do in: Artificial intelligence 80(1996) no.1, S.99-191.
- Pages
- 372 S
-
Misselhorn, C.: Grundfragen der Maschinenethik (2019)
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- Pages
- 283 S
-
Koenig, G.: ¬Das Ende des Individuums : Reise eines Philosophen in die Welt der künstlichen Intelligenz
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- Pages
- 392 S
