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Semantic and Metasemantic Notions of Analyticity
© 2014, Canadian Center of Science and Education. All rights reserved. In this article the evolution of main conceptions of analyticity is analyzed. Kant’s criteria for analytic/synthetic distinction are discussed. Frege and Carnap notions of analyticity are set out.
Karimov A., Kazakova V.
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Semantic Annotation of Experimental Methods in Analytical Chemistry
A major obstacle for reusing and integrating existing data is finding the data that is most relevant in a given context. The primary metadata resource is the scientific literature describing the experiments that produced the data. To stimulate the development of natural language processing methods for extracting this information from articles, we have ...
Magnus Palmblad +8 more
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Text Analytics: the convergence of Big Data and Artificial Intelligence
The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze ...
Antonio Moreno, Teófilo Redondo
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Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits [PDF]
Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about mobility behaviors and activities of people. Such information is required for various kinds of spatial planning in the public and business sectors ...
Andrienko, G. +5 more
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The Web Science Observatory [PDF]
To understand and enable the evolution of the Web and to help address grand societal challenges, the Web must be observable at scale across space and time.
Contractor, Noshir +5 more
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A Comparison of Big Data Frameworks on a Layered Dataflow Model [PDF]
In the world of Big Data analytics, there is a series of tools aiming at simplifying programming applications to be executed on clusters. Although each tool claims to provide better programming, data and execution models, for which only informal (and ...
Aldinucci, Marco +3 more
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SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems [PDF]
Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. This task is a challenging problem for various reasons, including the lack of metadata (e.g.,
E Jiménez-Ruiz +8 more
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Challenging the Boundaries of Unsupervised Learning for Semantic Similarity
The semantic analysis field has a crucial role to play in the research related to text analytics. Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing, and it differs significantly as
Atish Pawar, Vijay Mago
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Spatiotemporal analytics of multi-source Earth observation (EO) big data is a pre-condition for semantic content-based image retrieval (SCBIR). As a proof of concept, an innovative EO semantic querying (EO-SQ) subsystem was designed and prototypically ...
Dirk Tiede +4 more
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In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 research articles included in this supplement ...
Zhe He +4 more
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