標(biāo)題: Titlebook: Uncertainty Reasoning for the Semantic Web II; International Worksh Fernando Bobillo,Paulo C. G. Costa,Michael Pool Conference proceedings [打印本頁(yè)] 作者: 嬉戲 時(shí)間: 2025-3-21 17:52
書(shū)目名稱Uncertainty Reasoning for the Semantic Web II影響因子(影響力)
書(shū)目名稱Uncertainty Reasoning for the Semantic Web II影響因子(影響力)學(xué)科排名
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書(shū)目名稱Uncertainty Reasoning for the Semantic Web II讀者反饋
書(shū)目名稱Uncertainty Reasoning for the Semantic Web II讀者反饋學(xué)科排名
作者: 走調(diào) 時(shí)間: 2025-3-21 23:05 作者: 積習(xí)難改 時(shí)間: 2025-3-22 01:21 作者: municipality 時(shí)間: 2025-3-22 06:51
Pavel Klinov,Bijan Parsiaschaften (iwb) der Technischen Universit?t München. Herrn Professor Dr. -Ing Joachim Milberg danke ich besonders für die wohlwollende pers?nliche F?rderung und die gro?zügige Unterstützung meiner Forschungsarbeit sowie für die konstruktiven Hinweise zu dieser Arbeit. Ebenso gilt mein Dank Herrn Prof作者: Rheumatologist 時(shí)間: 2025-3-22 08:47 作者: 違法事實(shí) 時(shí)間: 2025-3-22 15:50
Yining Wut wurden. Von besonderer Bedeutung sind für additiv gefertigte Werkstoffe prozessbedingte Defekte wie Poren und Anbindungsfehler, die insbesondere unter Ermüdungsbeanspruchung durch ihre Kerbwirkung zu einem vorzeitigen Versagen des Werkstoffs führen. Aus diesem Grund liegt der Fokus der Untersuchun作者: occult 時(shí)間: 2025-3-22 18:46
Jidi Zhao,Harold Boley,Jing Dongt. Es soll sowohl den Biologiestudenten als auch all jenen Interessenten dienen, die in irgendeinem Ab- schnitt ihres Studiums mit Systematischer Botanik und deren Grundlagen, sowie mit Kulturpflanzengeschichte und Pflanzengeographie in Berührung kommen. Darüber hinaus kann es Lehrern an Gymnasien u作者: Customary 時(shí)間: 2025-3-22 22:31
rt Inhaltsverzeichnis Inhaltsverzeichnis 1 Einleitung und Zielsetzung . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 978-3-540-63338-9978-3-662-10191-9Series ISSN 1431-5394 作者: mitten 時(shí)間: 2025-3-23 04:00 作者: 注入 時(shí)間: 2025-3-23 06:43
Rommel N. Carvalho,Kathryn B. Laskey,Paulo C. G. Costa作者: slow-wave-sleep 時(shí)間: 2025-3-23 11:27
Saminda Abeyruwan,Ubbo Visser,Vance Lemmon,Stephan Schürer作者: Concomitant 時(shí)間: 2025-3-23 17:43
Claudia d’Amato,Nicola Fanizzi,Bettina Fazzinga,Georg Gottlob,Thomas Lukasiewicz作者: 叢林 時(shí)間: 2025-3-23 19:46 作者: 調(diào)情 時(shí)間: 2025-3-24 02:05
Giuseppe Rizzo,Claudia d’Amato,Nicola Fanizzi,Floriana EspositoEine Einführung作者: 規(guī)章 時(shí)間: 2025-3-24 04:58 作者: nonchalance 時(shí)間: 2025-3-24 08:09 作者: Banister 時(shí)間: 2025-3-24 13:12
Pavel Klinov,Bijan Parsiaw. Bestimmung nebeneinander ist noch nicht in allen F?llen m?glich, z. B. bei Gemischen aus ?Nekalen“ und “Mersolaten”. Deswegen haben wir es unternommen, einmal zu untersuchen, wieweit man mit rein qualitativen Prüfungen in diesem Falle kommen kann. Es war uns dabei von vornherein klar, da? es kwar作者: 警告 時(shí)間: 2025-3-24 16:34
Pavel Klinov,Bijan Parsiazum Gelingen meiner Arbeit wesentlich beigetragen haben. München, im Dezember 1993 Ulrich Viethen Inhaltsverzeichnis 1 Einleitung und Zielsetzung ?. ?. ???. ?????. ??????. ???????????. ????????. ?. ?. . . . . ????. ??. ??. ?. ?. ???. ????. ?? 1 1. 1 Qualit?tssicherung, eine Integrationsaufgabe . . .作者: Peristalsis 時(shí)間: 2025-3-24 19:01
Nikolaos Simou,Giorgos Stoilos,Giorgos Stamoued with the individually much more precise K2-values. The remaining ones showed much greater accidental deviations in RA than in δ, where, after a rediscussion of the final results, remained only two extremely great deviations. Hence we decided to ignore the rather great systematic reductions of sca作者: 執(zhí)拗 時(shí)間: 2025-3-25 01:34
Jidi Zhao,Harold Boley,Jing Dongin Lehrbuch auf Universit?tsniveau einen Stoff derart begrenzen mu?, da? wesentliche Gruppen, insbesondere der H?heren Pflanzen, nicht behandelt wer- den k?nnen. Der Beweggrund für die deutschsprachige übersetzung war ein w?hrend vieler Jahre Unterricht in Systematischer Botanik für Biologen, Agrarbiologen, A978-3-642-71611-9作者: Apoptosis 時(shí)間: 2025-3-25 07:08
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazily, a dominant characteristic in corruption prevention. This paper presents the use of probabilistic ontologies built with Probabilistic OWL (PR-OWL) to design and test a model that performs information fusion to detect possible frauds in procurements involving Federal money in Brazil. To design this作者: 放逐某人 時(shí)間: 2025-3-25 09:48 作者: 針葉 時(shí)間: 2025-3-25 15:11 作者: Monolithic 時(shí)間: 2025-3-25 19:52 作者: 野蠻 時(shí)間: 2025-3-25 21:08 作者: 極微小 時(shí)間: 2025-3-26 02:20
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/u/image/941109.jpg作者: bile648 時(shí)間: 2025-3-26 04:55 作者: LEVER 時(shí)間: 2025-3-26 10:31 作者: abreast 時(shí)間: 2025-3-26 13:09 作者: fructose 時(shí)間: 2025-3-26 17:53
Uncertainty Reasoning for the Semantic Web II978-3-642-35975-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: propose 時(shí)間: 2025-3-27 00:01
PR-OWL 2.0 – Bridging the Gap to OWL Semanticsg Multi-Entity Bayesian Network (MEBN) theories. This paper reviews some shortcomings of PR-OWL 1.0 and describes how they are addressed in PR-OWL 2. A method is presented for mapping back and forth between OWL properties and MEBN random variables (RV). The method applies to properties representing both predicates and functions.作者: 斜坡 時(shí)間: 2025-3-27 04:42
Assertion Prediction with Ontologies through Evidence Combinationning problem. We show how to exploit the procedure in the problems of determining unknown class- and role-memberships or fillers for datatype properties which may be the basis for many further ABox inductive reasoning algorithms. This work presents also an empirical evaluation of the method on real ontologies.作者: Engaging 時(shí)間: 2025-3-27 06:26
Conference proceedings 2013from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.作者: generic 時(shí)間: 2025-3-27 09:58
Understanding a Probabilistic Description Logic via Connections to First-Order Logic of ProbabilityPL with a specific subjective semantics based on possible worlds. We prove faithfulness of the translation and demonstrate the fundamental nature of some limitations of P-.. Finally, we briefly discuss the implications of the exposed semantic properties of the logic on probabilistic modeling.作者: otic-capsule 時(shí)間: 2025-3-27 17:04 作者: 毛細(xì)血管 時(shí)間: 2025-3-27 20:04
Finite Fuzzy Description Logics and Crisp Representationsnitially we focus on the finite fuzzy DL ., studying some logical properties, and showing the decidability of the logic by presenting a reasoning preserving reduction to the classical case. Finally, we extend our logic in two directions: by considering non-smooth t-norms and by considering additional DL constructors.作者: 無(wú)孔 時(shí)間: 2025-3-28 02:00 作者: 使混合 時(shí)間: 2025-3-28 02:50 作者: 惡臭 時(shí)間: 2025-3-28 06:33
PR-OWL 2.0 – Bridging the Gap to OWL Semanticsx use cases being proposed and explored. As complexity increases in SW applications, so does the need for principled means to represent and reason with uncertainty in SW applications. One candidate representation for uncertainty representation is PR-OWL, which provides OWL constructs for representin作者: Badger 時(shí)間: 2025-3-28 11:07 作者: Indent 時(shí)間: 2025-3-28 16:06
Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probabilitylanguage that is capable of representing and reasoning about different kinds of uncertainty in ontologies, namely generic probabilistic relationships between concepts and probabilistic facts about individuals. However, some semantic properties of P-. have been unclear which raised concerns regarding作者: osteopath 時(shí)間: 2025-3-28 18:54
Pronto: A Practical Probabilistic Description Logic Reasonerf probabilistic axioms. We describe in detail the novel probabilistic satisfiability (PSAT) algorithm which lies at the heart of Pronto’s architecture. Its key difference from previously developed (propositional) PSAT algorithms is its interaction with the underlying DL reasoner which, first, enable作者: 等待 時(shí)間: 2025-3-28 22:53
Instance-Based Non-standard Inferences in , with Subjective Probabilitiesrobabilities reasoning procedures for testing instance relations based on the completion method have been developed..In this paper we extend this technique to devise algorithms for solving non-standard inferences for . and its probabilistic extension Prob- .: computing the most specific concept of a作者: 符合你規(guī)定 時(shí)間: 2025-3-29 03:15 作者: euphoria 時(shí)間: 2025-3-29 10:56
Reasoning in Fuzzy OWL 2 with DeLoreanparticular, several fuzzy extensions have been proposed in the literature. In this paper, we present the fuzzy ontology reasoner ., the first to support a fuzzy extension of OWL?2. We discuss how to use it for fuzzy ontology representation and reasoning, and describe some implementation details and 作者: FLUSH 時(shí)間: 2025-3-29 13:06
Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Datad how similar it is to other concepts. Human experts can resolve their differences through discussion, whereas ontology mapping systems need to be able to eliminate contradictions before similarity combination can achieve high quality results. In these situations, different similarities represent co作者: persistence 時(shí)間: 2025-3-29 17:30
Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiREs capable of storing and querying over a knowledge base, have been proposed. Recently, fuzzy extensions to ontology languages have gained considerable attention especially due to their ability to handle vague information. In this paper we investigate on the issue of using classical RDF storing syste作者: 鉤針織物 時(shí)間: 2025-3-29 23:24
Transforming Fuzzy Description Logic , into Classical Description Logic ,se the already existing DL systems to do the reasoning of . by applying the result of this paper. This work is inspired by Straccia, who has transformed the fuzzy Description Logic . into the classical Description Logic ..作者: 提名的名單 時(shí)間: 2025-3-30 03:18 作者: refraction 時(shí)間: 2025-3-30 07:20
PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methodserefore, many researchers have developed algorithms and systems to help automate the process. Among them are systems that incorporate text corpora in the knowledge acquisition process. Here, we provide a novel method for unsupervised bottom-up ontology generation. It is based on lexico-semantic stru作者: 生來(lái) 時(shí)間: 2025-3-30 12:04
Semantic Web Search and Inductive Reasoninggy of the Web is evolving towards some novel form of Semantic Web search. A?very promising recent such approach is based on combining standard Web pages and search queries with ontological background knowledge, and using standard Web search engines as the main inference motor of Semantic Web search.作者: DEFER 時(shí)間: 2025-3-30 14:55
Ontology Enhancement through Inductive Decision Trees Different ontologists, experts, and organizations create a great variety of ontologies, often for narrow application domains. Some of the created ontologies frequently overlap with other ontologies in broader domains if they pertain to the Semantic Web. Sometimes, they model similar or matching the作者: Matrimony 時(shí)間: 2025-3-30 20:14
Assertion Prediction with Ontologies through Evidence Combinationidence and the analogical criterion. Once neighbors of a test individual are selected through some distance measures, a combination rule descending from the Dempster-Shafer theory can join together the evidence provided by the various neighbor individuals in order to predict unknown values in a lear作者: 脫落 時(shí)間: 2025-3-30 23:04 作者: 一回合 時(shí)間: 2025-3-31 04:39 作者: Orchiectomy 時(shí)間: 2025-3-31 06:00 作者: 臭了生氣 時(shí)間: 2025-3-31 09:50 作者: BRAND 時(shí)間: 2025-3-31 16:20 作者: AROMA 時(shí)間: 2025-3-31 19:32 作者: triptans 時(shí)間: 2025-3-31 22:09
Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiREages of RDF stores in order to support expressive fuzzy querying services over the stored data. All our extensions have been implemented in FiRE—an expressive fuzzy DL reasoner that supports the language fuzzy-.. Finally, the proposed architecture is evaluated using an industrial application scenario about casting for TV commercials and spots.
