Search (20 results, page 1 of 1)

0.015813233 = product of:
  0.06325293 = sum of:
    0.06325293 = product of:
      0.094879396 = sum of:
        0.004230681 = weight(_text_:a in 1152) [ClassicSimilarity], result of:
          0.004230681 = score(doc=1152,freq=2.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.07643694 = fieldWeight in 1152, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1152)
        0.09064872 = weight(_text_:z in 1152) [ClassicSimilarity], result of:
          0.09064872 = score(doc=1152,freq=2.0), product of:
            0.2562021 = queryWeight, product of:
              5.337313 = idf(docFreq=577, maxDocs=44218)
              0.04800207 = queryNorm
            0.35381722 = fieldWeight in 1152, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.337313 = idf(docFreq=577, maxDocs=44218)
              0.046875 = fieldNorm(doc=1152)
      0.6666667 = coord(2/3)
  0.25 = coord(1/4)

Editor

Cebeci, Z.
Öztürk, A.

0.011325077 = product of:
  0.04530031 = sum of:
    0.04530031 = weight(_text_:von in 7001) [ClassicSimilarity], result of:
      0.04530031 = score(doc=7001,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.35372335 = fieldWeight in 7001, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.09375 = fieldNorm(doc=7001)
  0.25 = coord(1/4)

Content

Aktualisiert die erste Aufl. von 1987

0.011099533 = product of:
  0.022199066 = sum of:
    0.01887513 = weight(_text_:von in 3304) [ClassicSimilarity], result of:
      0.01887513 = score(doc=3304,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.14738473 = fieldWeight in 3304, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3304)
    0.0033239368 = product of:
      0.0099718105 = sum of:
        0.0099718105 = weight(_text_:a in 3304) [ClassicSimilarity], result of:
          0.0099718105 = score(doc=3304,freq=16.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.18016359 = fieldWeight in 3304, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3304)
      0.33333334 = coord(1/3)
  0.5 = coord(2/4)

Abstract

Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of ""knowledge"" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intelligence: search and problem solving, methods of making proofs, and the use of knowledge in looking for a proof. There is also a discussion of how to use the knowledge system. The final chapter describes a popular expert system. It describes tools for building expert systems using an example based on Expert Systems-A Practical Introduction by P. Sell (Macmillian, 1985). This type of software is called an ""expert system shell."" This book was written as a textbook for undergraduate students covering only the basics but explaining as much detail as possible.

Issue

Aus d. Japan. übers. von Richard Weyrauch.

0.009987781 = product of:
  0.039951123 = sum of:
    0.039951123 = weight(_text_:von in 2246) [ClassicSimilarity], result of:
      0.039951123 = score(doc=2246,freq=14.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.3119547 = fieldWeight in 2246, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.03125 = fieldNorm(doc=2246)
  0.25 = coord(1/4)

Abstract

Beim Corporate Semantic Web betrachtet man Semantic Web-Anwendungen, die innerhalb eines Unternehmens oder einer Organisation - kommerziell und nicht kommerziell - eingesetzt werden, von Mitarbeitern, von Kunden oder Partnern. Die Autoren erläutern prägende Erfahrungen in der Entwicklung von Semantic Web-Anwendungen. Sie berichten über Software-Architektur, Methodik, Technologieauswahl, Linked Open Data Sets, Lizenzfragen etc. Anwendungen aus den Branchen Banken, Versicherungen, Telekommunikation, Medien, Energie, Maschinenbau, Logistik, Touristik, Spielwaren, Bibliothekswesen und Kultur werden vorgestellt. Der Leser erhält so einen umfassenden Überblick über die Semantic Web-Einsatzbereiche sowie konkrete Umsetzungshinweise für eigene Vorhaben.

Content

Kapitel 1; Corporate Semantic Web; 1.1 Das Semantic Web; 1.2 Semantische Anwendungen im Unternehmenseinsatz; 1.3 Bereitstellen von Linked Data reicht nicht; 1.4 Eine global vernetzte Wissensbasis -- Fiktion oder Realität?; 1.5 Semantik)=)RDF?; 1.6 Richtig vorgehen; 1.7 Modellieren ist einfach (?!); 1.8 Juristische Fragen; 1.9 Semantische Anwendungen stiften Nutzen in Unternehmen -- nachweislich!; 1.10 Fazit; Literatur; Kapitel 2; Einordnung und Abgrenzung des Corporate Semantic Webs; 2.1 Grundlegende Begriffe; 2.2 Corporate Semantic Web 2.3 Public Semantic Web2.4 Social Semantic Web 3.0; 2.5 Pragmatic Web; 2.6 Zusammenfassung und Ausblick "Ubiquitous Pragmatic Web 4.0"; Literatur; Kapitel 3; Marktstudie: Welche Standards und Tools werden in Unternehmen eingesetzt?; 3.1 Einleitung; 3.2 Semantische Suche in Webarchiven (Quantinum AG); 3.2.1 Kundenanforderungen; 3.2.2 Technische Umsetzung; 3.2.3 Erfahrungswerte; 3.3 Semantische Analyse und Suche in Kundenspezifikationen (Ontos AG); 3.3.1 Kundenanforderungen; 3.3.2 Technische Umsetzung; 3.3.3 Erfahrungswerte 3.4 Sicherheit für Banken im Risikomanagement (VICO Research & Consulting GmbH)3.4.1 Kundenanforderungen; 3.4.2 Technische Umsetzung; 3.4.3 Erfahrungswerte; 3.5 Interaktive Fahrzeugdiagnose (semafora GmbH); 3.5.1 Kundenanforderungen; 3.5.2 Technische Umsetzung; 3.5.3 Erfahrungswerte; 3.6 Quo Vadis?; 3.7 Umfrage-Ergebnisse; 3.8 Semantic Web Standards & Tools; 3.9 Ausblick; Literatur; Kapitel 4; Modellierung des Sprachraums von Unternehmen; 4.1 Hintergrund; 4.2 Eine Frage der Bedeutung; 4.3 Bedeutung von Begriffen im Unternehmenskontext; 4.3.1 Website-Suche bei einem Industrieunternehmen 4.3.2 Extranet-Suche bei einem Marktforschungsunternehmen4.3.3 Intranet-Suche bei einem Fernsehsender; 4.4 Variabilität unserer Sprache und unseres Sprachgebrauchs; 4.4.1 Konsequenzen des Sprachgebrauchs; 4.5 Terminologiemanagement und Unternehmensthesaurus; 4.5.1 Unternehmensthesaurus; 4.5.2 Mut zur Lücke: Arbeiten mit unvollständigen Terminologien; 4.6 Pragmatischer Aufbau von Unternehmensthesauri; 4.6.1 Begriffsanalyse des Anwendungsbereichs; 4.6.2 Informationsquellen; 4.6.3 Häufigkeitsverteilung; 4.6.4 Aufwand und Nutzen; Literatur; Kapitel 5 Schlendern durch digitale Museen und Bibliotheken5.1 Einleitung; 5.2 Anwendungsfall 1: Schlendern durch das Digitale Museum; 5.3 Anwendungsfall 2: Literatur in Bibliotheken finden; 5.4 Herausforderungen; 5.5 Die Anforderungen treiben die Architektur; 5.5.1 Semantic ETL; 5.5.2 Semantic Logic; 5.5.3 Client; 5.6 Diskussion; 5.7 Empfehlungen und Fazit; Literatur; Kapitel 6; Semantische Suche im Bereich der Energieforschungsförderung; 6.1 Das Projekt EnArgus®; 6.2 Die Fachontologie; 6.2.1 Semantische Suche; 6.2.2 Repräsentation der semantischen Relationen in der Fachontologie

0.008441214 = product of:
  0.033764858 = sum of:
    0.033764858 = weight(_text_:von in 4451) [ClassicSimilarity], result of:
      0.033764858 = score(doc=4451,freq=10.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.26364982 = fieldWeight in 4451, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.03125 = fieldNorm(doc=4451)
  0.25 = coord(1/4)

Abstract

In seinem Klassiker erläutert der international führende Mathematiker und Physiker, Sir Roger Penrose, seine These, dass die geistigen Fähigkeiten des menschlichen Gehirns nicht durch Berechnungen von Elektronengehirnen erreicht werden können - und provozierte eine neue KI-Debatte. . . . des Kaisers neue Kleider - steht auf dem Buchumschlag. Der renommierte englische Physiker Penrose will damit sichtbar machen, daß die Vertreter der Künstlichen Intelligenz (KI) nackt dastehen. Mit einem 400 Seiten langen Exkurs versucht er, ihre Behauptung zu widerlegen, daß Maschinen ebenso intelligent sein können wie Menschen. bild der wissenschaft Roger Penrose ( . . . ) gelang das Kunststück, mit dem formelgespickten Wälzer "The Emperors's New Mind" (auf deutsch jetzt unter dem geistlosen Titel "Computerdenken" erschienen) auf den US-Bestsellerlisten zu landen, ungeachtet aller Quanten-Ket-Vektoren und Einsteinscher Krüümungstensoren, mit denen der Autor seine Leser plagt. DER SPIEGEL Das erklärte Ziel dieses Buches ist, den Standpunkt einiger KI-Enthusiasten zu widerlegen, daß Computer irgendwann all das können, was menschliche Gehirne können - und sogar mehr. Aber der Leser merkt bald, dass Pnerose vor allem das Ziel verfolgt, einen Wegzur großen Synthese von klassischer Physik, Quantenphysik und Neurowissenschaften aufzuzeigen. John Horgan in Scientific American Wer "Computerdenken" liest (oder durcharbeitet), sollte nicht auf Antwort hoffen, darf aber neue Sichtwiesen und überraschende Interpretationen erwarten. Ein nahrhaftes Geschenk für naturwissenschaftlich Interessierte. Die Zeit Trotz des mathematichen Themas wurde The Emperor's New Mind prompt ein Bestseller und sein Autor zum bestgehaßten Mann der KI-Szene ( . . . ).

Issue

Mit einem Vorwort von Martin Gardner und einem Vorwort zur deutschen Ausgabe von Dieter Wandschneider; aus dem Englischen übersetzt von Michael Springer.

0.0056625386 = product of:
  0.022650154 = sum of:
    0.022650154 = weight(_text_:von in 2867) [ClassicSimilarity], result of:
      0.022650154 = score(doc=2867,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.17686167 = fieldWeight in 2867, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.046875 = fieldNorm(doc=2867)
  0.25 = coord(1/4)

Abstract

"Das Anliegen dieses Buches ist es, eine einführende Darstellung der Forschung in Künstlicher Intelligenz zu geben. Außerdem soll gezeigt werden, welche Rückwirkungen die Grundannahme der KI, unser Geist gleiche im wesentlichen einem Computer, auf unser Denken hat: Der ursprüngliche Bedeutungsgehalt von Begriffen wie Denken, Wissen und Verstehen werde fälschlich eingeschränkt, und die so entstehende reduktionistische Sichtweise beeinflusse deshalb das Selbstbild des Menschen sowie das soziale Miteinander auf bedenkliche Weise"

0.0056625386 = product of:
  0.022650154 = sum of:
    0.022650154 = weight(_text_:von in 3714) [ClassicSimilarity], result of:
      0.022650154 = score(doc=3714,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.17686167 = fieldWeight in 3714, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.046875 = fieldNorm(doc=3714)
  0.25 = coord(1/4)

0.0047187824 = product of:
  0.01887513 = sum of:
    0.01887513 = weight(_text_:von in 4450) [ClassicSimilarity], result of:
      0.01887513 = score(doc=4450,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.14738473 = fieldWeight in 4450, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4450)
  0.25 = coord(1/4)

Issue

Aus dem Englischen übersetzt von Anita Ehlers.

0.0047187824 = product of:
  0.01887513 = sum of:
    0.01887513 = weight(_text_:von in 4508) [ClassicSimilarity], result of:
      0.01887513 = score(doc=4508,freq=2.0), product of:
        0.12806706 = queryWeight, product of:
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.04800207 = queryNorm
        0.14738473 = fieldWeight in 4508, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.6679487 = idf(docFreq=8340, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4508)
  0.25 = coord(1/4)

Abstract

Die künstliche Intelligenz hat in den letzten Jahrzehnten gewaltige Fortschritte gemacht. Setzt sich dieser Fortschritt in den nächsten Jahren mit der gleichen Geschwindigkeit fort, so werden unsere Personal Computer bis etwa zum Jahr 2015 die gleiche Leistungsfähigkeit wie das menschliche Gehirn erreicht haben. Die entscheidende Frage ist, ob diese Maschinen dann auch all die geistigen Fähigkeiten erwerben können, die als zutiefst menschlich empfunden werden. Im Zentrum steht dabei vor allem die Frage nach dem Bewusstsein. Gelingt es tatsächlich, Computer mit allen geistigen Fähigkeiten des Menschen auszustatten, so reicht unsere Fantasie kaum aus, die dadurch bedingten langfristigen Folgen für unsere Zivilisation vorauszusagen. Da die künstliche Intelligenz nicht den Einschränkungen des biologischen Lebens unterliegt, ist eine Entwicklung weit über die Fähigkeiten menschlicher Intelligenz hinaus denkbar. Dies schließt sogar eine potenzielle Unsterblichkeit ein - und somit den Abschied von der Wunschvorstellung, daß der Mensch die Krone der Schöpfung sei.

7.1242056E-4 = product of:
  0.0028496822 = sum of:
    0.0028496822 = product of:
      0.008549047 = sum of:
        0.008549047 = weight(_text_:a in 4477) [ClassicSimilarity], result of:
          0.008549047 = score(doc=4477,freq=6.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.1544581 = fieldWeight in 4477, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4477)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

The development of thinking machines is an adventure as bold and ambitious as any that humans have attempted. And the truth is that Artificial Intelligence is already an indispensable part of our daily lives. Without it, Google wouldn't have answers and your smartphone would just be a phone. But how will AI change society by 2050? Will it destroy jobs? Or even pose an existential threat? Android Dreams is a lively exploration of how AI will transform our societies, economies and selves. From robot criminals to cyber healthcare, and a sky full of empty planes, Toby Walsh's predictions about AI are guaranteed to surprise you.

7.051135E-4 = product of:
  0.002820454 = sum of:
    0.002820454 = product of:
      0.008461362 = sum of:
        0.008461362 = weight(_text_:a in 5134) [ClassicSimilarity], result of:
          0.008461362 = score(doc=5134,freq=18.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.15287387 = fieldWeight in 5134, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=5134)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

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.

6.569507E-4 = product of:
  0.0026278028 = sum of:
    0.0026278028 = product of:
      0.007883408 = sum of:
        0.007883408 = weight(_text_:a in 1529) [ClassicSimilarity], result of:
          0.007883408 = score(doc=1529,freq=10.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.14243183 = fieldWeight in 1529, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1529)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.

5.875945E-4 = product of:
  0.002350378 = sum of:
    0.002350378 = product of:
      0.007051134 = sum of:
        0.007051134 = weight(_text_:a in 6108) [ClassicSimilarity], result of:
          0.007051134 = score(doc=6108,freq=2.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.12739488 = fieldWeight in 6108, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.078125 = fieldNorm(doc=6108)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

A guide to database management, online searching, text retrieval, data analysis, intelligent documents and more ...

4.700756E-4 = product of:
  0.0018803024 = sum of:
    0.0018803024 = product of:
      0.005640907 = sum of:
        0.005640907 = weight(_text_:a in 1973) [ClassicSimilarity], result of:
          0.005640907 = score(doc=1973,freq=2.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.10191591 = fieldWeight in 1973, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0625 = fieldNorm(doc=1973)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

4.154921E-4 = product of:
  0.0016619684 = sum of:
    0.0016619684 = product of:
      0.0049859053 = sum of:
        0.0049859053 = weight(_text_:a in 3934) [ClassicSimilarity], result of:
          0.0049859053 = score(doc=3934,freq=4.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.090081796 = fieldWeight in 3934, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3934)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Content

Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining

4.154921E-4 = product of:
  0.0016619684 = sum of:
    0.0016619684 = product of:
      0.0049859053 = sum of:
        0.0049859053 = weight(_text_:a in 5204) [ClassicSimilarity], result of:
          0.0049859053 = score(doc=5204,freq=4.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.090081796 = fieldWeight in 5204, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5204)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.

4.0709745E-4 = product of:
  0.0016283898 = sum of:
    0.0016283898 = product of:
      0.004885169 = sum of:
        0.004885169 = weight(_text_:a in 5329) [ClassicSimilarity], result of:
          0.004885169 = score(doc=5329,freq=6.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.088261776 = fieldWeight in 5329, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=5329)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

3.5255676E-4 = product of:
  0.001410227 = sum of:
    0.001410227 = product of:
      0.004230681 = sum of:
        0.004230681 = weight(_text_:a in 439) [ClassicSimilarity], result of:
          0.004230681 = score(doc=439,freq=2.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.07643694 = fieldWeight in 439, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=439)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Editor

Gómez-Pérez, A. u. J. Euzenat

3.3239368E-4 = product of:
  0.0013295747 = sum of:
    0.0013295747 = product of:
      0.003988724 = sum of:
        0.003988724 = weight(_text_:a in 575) [ClassicSimilarity], result of:
          0.003988724 = score(doc=575,freq=4.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.072065435 = fieldWeight in 575, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=575)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

Three of the world's most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society-and what this technology means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality. In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before. Artificial Intelligence (AI) is transforming human society in fundamental and profound ways. Not since the Age of Reason have we changed how we approach security, economics, order, and even knowledge itself. In the Age of AI, three deep and accomplished thinkers come together to consider what AI will mean for us all.

Footnote

Rez. in Spektrum der Wissenschaft 2022, H.6, S.89-90 (A. Lobe) u.d.T.: Auf dem Weg in eine neue Wissensgesellschaft.

2.350378E-4 = product of:
  9.401512E-4 = sum of:
    9.401512E-4 = product of:
      0.0028204536 = sum of:
        0.0028204536 = weight(_text_:a in 2477) [ClassicSimilarity], result of:
          0.0028204536 = score(doc=2477,freq=2.0), product of:
            0.055348642 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.04800207 = queryNorm
            0.050957955 = fieldWeight in 2477, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=2477)
      0.33333334 = coord(1/3)
  0.25 = coord(1/4)

Abstract

This book constitutes the refereed proceedings of the joint 6th International Semantic Web Conference, ISWC 2007, and the 2nd Asian Semantic Web Conference, ASWC 2007, held in Busan, Korea, in November 2007. The 50 revised full academic papers and 12 revised application papers presented together with 5 Semantic Web Challenge papers and 12 selected doctoral consortium articles were carefully reviewed and selected from a total of 257 submitted papers to the academic track and 29 to the applications track. The papers address all current issues in the field of the semantic Web, ranging from theoretical and foundational aspects to various applied topics such as management of semantic Web data, ontologies, semantic Web architecture, social semantic Web, as well as applications of the semantic Web. Short descriptions of the top five winning applications submitted to the Semantic Web Challenge competition conclude the volume.