Semantic Computing
Semantic Computing and Language Knowledge Bases
... seen as a crowning achievement of biological evolution, the interpersonal communication is no simpler than human biological mechanism. Language has to be a crucial part of the evolutionary process, which has not been ...
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Towards Cooperative Semantic Computing: a Distributed Reasoning approach for Fog-enabled SWoT
... To ensure decentralization, the EDR approach is executed in parallel on each node able to perform reasoning in the topology, i.e. Cloud nodes and semantic- computing-enabled Fog nodes. EDR is a ...
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A Global Environment Analysis and Visualization System with Semantic Computing for Multi Dimensional World Map
... environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way with a large amount of information resources in terms of global ...for computing ...
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Genre-adaptive semantic computing and audio-based modelling for music mood annotation.
... genre-adaptive semantic computing and audio-based modelling are ...genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing ...
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A Conceptual Roadmap for Scalable Semantic Computing
... of semantic computing continue to advance in the same direction as the predominant ICT R&D of the last decade - semantic computing still faces major challenges in bringing about scalable ...
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Semantic computing of moods based on tags in social media of music.
... derived semantic models at capturing mood information in ...on semantic computing of social tags and research in emotion ...Latent Semantic Analysis ...
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Renormalization of Hierarchy and Semantic Computing
... In a nutshell, the building up of the special type renormalization involves the following sequence of steps: boundedness of amplitudes and rates provides addi- tive decomposition of the power spectrum to a specific and ...
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Computing text semantic relatedness using the contents and links of a hypertext encyclopedia
... In this section, we describe our framework for computing relatedness between two texts, represented as sets of concepts in a network. Although this is applied here to Wikipedia, the model is general enough to be ...
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Coping with Diverse Semantic Models when Routing Ubiquitous Computing Information
... context information. The elements requiring contextual information express an interest through a subscription which is matched to messages published by other elements holding that type of information as it changes. ...
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On Location-Centric Semantic Information Retrieval in Ubiquitous Computing Environments
... Keyword-based semantic retrieval systems [2] using location information in a mobile environments prove that providing the user’s selection of the semantic result improves the precision of the results ...
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LMSim : Computing Domain specific Semantic Word Similarities Using a Language Modeling Approach
... The important advantages of LMSim over previous approaches are - i) it does not require any linguistic resources (like WordNet) hence it saves cost, time and human efforts involved in creating such resources, ii) LMSim ...
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Problem-solving method with semantic net based on DNA computing in artificial intelligence
... use Semantic Net as a molecular knowledge based system. In modern computing, it is widely known that the amount of information per unit value is defined as ‘bit’ ...DNA computing, we determine a unit ...
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Semantic based Automatic Text Summarization based on Soft Computing
... the Semantic based Automatic Text Summarization using soft computing, initial the text pre- processing is completed that's the removal of stop words, stemming, ...
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A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
... with semantic relations posing a strong competition against ...of semantic relatedness, many have piloted the studies of using Wiktionary as an alternative to ...the semantic relatedness between of ...
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Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning
... that semantic mirroring coupled with spectral graph partitioning is a useful method for comput- ing word senses, which can be developed further using refined graph theoretic and linguistic tech- niques in ...
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Automatically generating hypertext in newspaper articles by computing semantic relatedness
... The second stage o f paragraph linking, therefore, is to compute the similarity between the para- graphs o f the article b y computing the similarity between the chain density vectors re[r] ...
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Computing Semantic Similarity between Skill Statements for Approximate Matching
... mon semantic role features extracted from parse trees was found superior to an in- formation-theoretic measure of similarity and comparable to the level of human ...
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Fast Computing Grammar driven Convolution Tree Kernel for Semantic Role Labeling
... Eqs. (20), (22) and (23), respectively. This is to ensure that in the GTK only optional nodes are al- lowed to be skipped and only those skipped optional nodes are penalized. In addition, compared with Eq. (17), the ...
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A Fault Tolerance Algorithm for Resource Discovery in Semantic Grid Computing Using Task Agents
... increase flexibility. Among the methods presented, a group in which there is not an overload of transaction and in which resource discovery is decentralized has a considerable importance. In these methods, each resource ...
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A semantic interoperability framework for software as a service systems in cloud computing environments / Reza Rezaei
... cloud computing, interoperability of software as a service systems is a critical point, and it is extremely important for making communication and collaborations between systems and organizations (Liu et ...cloud ...
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