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14,332
Finding Consistency in an Inconsistent World: Towards Deep Semantic Understanding of Scale-out Distributed Databases
"... Abstract We present a new problem in data storage: how to build efficient backup and restore tools for increasingly popular Next-generation Eventually Consistent STorage systems (NECST). We show that the lack of a concise, consistent, logical view of data at a point-in-time is the key underlying pr ..."
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problem; we suggest a deep semantic understanding of the data stored within the system of interest as a solution. We discuss research and productization challenges in this new domain, and present the status of our platform, Datos CODR (Consistent Orchestrated Distributed Recovery), which can extract
Ontology Learning for the Semantic Web
- IEEE Intelligent Systems
, 2001
"... The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering o ..."
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Cited by 492 (16 self)
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The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering
Understanding Normal and Impaired Word Reading: Computational Principles in Quasi-Regular Domains
- PSYCHOLOGICAL REVIEW
, 1996
"... We develop a connectionist approach to processing in quasi-regular domains, as exemplified by English word reading. A consideration of the shortcomings of a previous implementation (Seidenberg & McClelland, 1989, Psych. Rev.) in reading nonwords leads to the development of orthographic and phono ..."
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Cited by 613 (94 self)
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division-of-labor between semantic and phonological processes. Such a view is consistent with the more general Seidenberg and McClelland framework and has some similarities with---but also important differences from---the standard dual-route account.
Recognition-by-components: A theory of human image understanding
- Psychological Review
, 1987
"... The perceptual recognition of objects is conceptualized to be a process in which the image of the input is segmented at regions of deep concavity into an arrangement of simple geometric components, such as blocks, cylinders, wedges, and cones. The fundamental assumption of the proposed theory, recog ..."
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Cited by 1272 (23 self)
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The perceptual recognition of objects is conceptualized to be a process in which the image of the input is segmented at regions of deep concavity into an arrangement of simple geometric components, such as blocks, cylinders, wedges, and cones. The fundamental assumption of the proposed theory
Ontologies are us: A unified model of social networks and semantics
- In International Semantic Web Conference
, 2005
"... Abstract. On the Semantic Web ontologies are most commonly treated as artifacts created by knowledge engineers for a particular community. The task of the engineers is to forge a common understanding within the community and to formalize the agreements, prerequisites of reusing domain knowledge in i ..."
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Cited by 466 (3 self)
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Abstract. On the Semantic Web ontologies are most commonly treated as artifacts created by knowledge engineers for a particular community. The task of the engineers is to forge a common understanding within the community and to formalize the agreements, prerequisites of reusing domain knowledge
RCV1: A new benchmark collection for text categorization research
- JOURNAL OF MACHINE LEARNING RESEARCH
, 2004
"... Reuters Corpus Volume I (RCV1) is an archive of over 800,000 manually categorized newswire stories recently made available by Reuters, Ltd. for research purposes. Use of this data for research on text categorization requires a detailed understanding of the real world constraints under which the data ..."
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Cited by 663 (11 self)
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Reuters Corpus Volume I (RCV1) is an archive of over 800,000 manually categorized newswire stories recently made available by Reuters, Ltd. for research purposes. Use of this data for research on text categorization requires a detailed understanding of the real world constraints under which
Ontology Development 101: A Guide to Creating Your First Ontology
, 2001
"... In recent years the development of ontologies—explicit formal specifications of the terms in the domain and relations among them (Gruber 1993)—has been moving from the realm of Artificial-Intelligence laboratories to the desktops of domain experts. Ontologies have become common on the World-Wide Web ..."
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Cited by 830 (5 self)
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for encoding knowledge on Web pages to make it understandable to electronic agents searching for information. The Defense Advanced Research Projects Agency (DARPA), in conjunction with the W3C, is developing DARPA Agent Markup Language (DAML) by extending RDF with more expressive constructs aimed
Climate and atmospheric history of the past 420,000 years from the Vostok ice core,
- Antarctica. Nature
, 1999
"... Antarctica has allowed the extension of the ice record of atmospheric composition and climate to the past four glacial-interglacial cycles. The succession of changes through each climate cycle and termination was similar, and atmospheric and climate properties oscillated between stable bounds. Inte ..."
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Cited by 716 (15 self)
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420,000 years. The late Quaternary period (the past one million years) is punctuated by a series of large glacial-interglacial changes with cycles that last about 100,000 years (ref. 1). Glacial-interglacial climate changes are documented by complementary climate records 1,2 largely derived from deep
BRITE: An approach to universal topology generation,”
- in Proceedings of the IEEE Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems,
, 2001
"... Abstract Effective engineering of the Internet is predicated upon a detailed understanding of issues such as the large-scale structure of its underlying physical topology, the manner in which it evolves over time, and the way in which its constituent components contribute to its overall function. U ..."
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Cited by 448 (12 self)
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. Unfortunately, developing a deep understanding of these issues has proven to be a challenging task, since it in turn involves solving difficult problems such as mapping the actual topology, characterizing it, and developing models that capture its emergent behavior. Consequently, even though there are a number
Greedy layer-wise training of deep networks
, 2006
"... Complexity theory of circuits strongly suggests that deep architectures can be much more efficient (sometimes exponentially) than shallow architectures, in terms of computational elements required to represent some functions. Deep multi-layer neural networks have many levels of non-linearities allow ..."
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Cited by 394 (48 self)
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introduced a greedy layer-wise unsupervised learning algorithm for Deep Belief Networks (DBN), a generative model with many layers of hidden causal variables. In the context of the above optimization problem, we study this al-gorithm empirically and explore variants to better understand its success
Results 1 - 10
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14,332