[PDF] Top 20 Knowledge based Semantic Clustering
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Knowledge based Semantic Clustering
... in semantic overlay networks [11, 15, ...peer clustering. Used in this way, peer clustering introduces a hierarchy of peer groups based on ...nodes based on semantic closeness, ... See full document
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Adaptive Semantic Interoperability Strategies for Knowledge Based Networking
... Given the rapid evolution and dynamism of networking, there is increasingly a desire to allow applications which were designed independently and using different information structures to communicate that information ... See full document
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Adaptive semantic interoperability strategies for knowledge based networking
... be based on a set of rules, for instance, the rules might be defined according to characteristics of application ontologies or the rate of subscriptions and ... See full document
11
Knowledge based Learning Experience Management on the Semantic Web
... Tagging and concept map are two approaches that adopt meaning enrichment methods. Tagging has already been used in many popular Web 2.0 applications such as photo sharing Flickr.com. Comparing to the learning experience ... See full document
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Towards a Knowledge Based Approach to Semantic Service Composition
... of knowledge-based service composition, or more generally, resource synthesis, in a web-enabled or Grid computing ...domain-specific knowledge to com- pose web/Grid services into a workflow ... See full document
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Agent for Documents Clustering using Semantic based Model and Fuzzy
... ontology- based representation has been recently proposed [16], which exploits the hierarchical is-a relation among concepts, ...term- based representation documents containing the three words: “animal”, ... See full document
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Using a Wikipedia based Semantic Relatedness Measure for Document Clustering
... Computing semantic relatedness between two texts requires: (1) to estimate relatedness between two sets of nodes in the network, as described in Sections 3 and 4; and (2) to project each text onto a set of nodes, ... See full document
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Organizing phenotypic data—a semantic data model for anatomy
... called Semantic Instance Anatomy Knowledge Graphs (or Semantic Instance Anatomies [2, 12, 35–37]; from here on Anatomy Knowledge ...the Semantic Phenotypes approach, the Anatomy ... See full document
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A Survey of Text Similarity Approaches
... document clustering, topic detection, topic tracking, questions generation, question answering, essay scoring, short answer scoring, machine translation, text summarization and ...algorithms, Semantic ... See full document
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Semantic Clustering of Pivot Paraphrases
... our clustering to the gold sense groupings would denote the existence of sense distinctions in the paraphrase sets and would highlight the need for a clustering step in applications exploiting this ... See full document
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Knowledge based Recommendation System in Semantic Web A Survey
... solving based on knowledge in some domain [36]. Traditional Web-based Expert system does not support the method for representing data in a format that can be used for machine reasoning, which becomes ... See full document
6
Rule based Acquisition and Maintenance of Lexical and Semantic Knowledge
... A-COOL produces the central lexical and template semantic databases from the initial lexical feature files, which the linguist and domain expert can then modify.. M-COOL goes beyond simp[r] ... See full document
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EUSP: An Easy to Use Semantic Parsing PlatForm
... (Easy-to-Use Semantic Parsing Plat- Form), that facilitates developers to build se- mantic parser from ...grammar knowledge, in our platform de- velopers can build grammar-based semantic ... See full document
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Review on Phase Based Semantic Search Using Suffix Tree Clustering
... together semantic looking concerning web that offer customer to more results related to that ...progressively semantic sentences results related to that ... See full document
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Applications of Text Clustering Based on Semantic Body for Chinese Spam Filtering
... The basic unit of Chinese e-mails is word. This is usually referred to as feature item or feature. The feature item has the following characteristics: it is able to express text content clearly, to distinguish target ... See full document
5
Big Data Analytics Tools, Methods & Frameworks: A Comprehensive Review
... framework based on MapReduce technology for summarizing large text ...using semantic similarity based clustering and topic modeling using Latent Dirichlet Allocation (LDA) for briefing the ... See full document
6
Transition based Semantic Role Labeling Using Predicate Argument Clustering
... to semantic role ...for semantic role labeling because predi- cates are always assumed to be the heads of their ar- guments, an assumption that cannot be generalized to dependency parsing, and arguments can ... See full document
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The Revitalization of the Community based Management of Acute Malnutrition Program in Haiti
... each semantic cluster was done so that the SVLT lists would be very familiar and easy to recall, and therefore possibly more easily ...clustered. Based on our own analyses of the data, rates of recall for ... See full document
127
Automatic data representation analysis for reconfigurable systems integration
... the Semantic Web and the World Wide Web. Ontology-based systems are suitable for rapid update of knowledge system, such as dynamic scheduling, Integrating the Internet of Things (IoT) metadata and ... See full document
7
A Hybrid Method for Extracting Key Terms of Text Documents
... classification, clustering documents, text summarization and output the general subject of the ...is based on a combination of the following two techniques: a measure of semantic proximity of terms, ... See full document
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