[PDF] Top 20 Measuring the Semantic Value of Folksonomies
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Measuring the Semantic Value of Folksonomies
... To the best of our knowledge, there was only one related work that has explored the area of folksonomies compared to other indexing mechanisms. Kipp [1] has examined the differences and similarities between the ... See full document
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Measuring Similarity in Large-Scale Folksonomies
... content, folksonomies enable end-users to freely cre- ate and choose the categories (in this case, tags) that best describe some ...world folksonomies are characterized by power law distributions of tags, ... See full document
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Exploring The Value Of Folksonomies For Creating Semantic Metadata
... techniques. Folksonomies are an increasingly well-populated source of unstructured tags describing Web ...the value of the folksonomy tags as a potential source of keyword metadata by examining the ... See full document
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Exploring The Value Of Folksonomies For Creating Semantic Metadata
... techniques. Folksonomies are an increasingly well populated source of unstructured tags describing web ...the value of the folksonomy tags as potential source of keyword metadata by examining the ... See full document
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FolksAnnotation: A Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies
... using folksonomies as guides in the semantic annotation process, we have carried out an experiment to measure the semantic value of folksonomies compared to automatic keyword extraction ... See full document
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Measuring Semantic Similarity by Latent Relational Analysis
... Singular Value Decomposition (SVD) is used to smooth the frequency data (it is also used this way in LSA), and (3) automatically generated syno- nyms are used to explore reformulations of the word ... See full document
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Creating structure from disorder: using folksonomies to create semantic metadata
... folksonomy value of ‘font’ the inference engine would trigger the rule that states “if a web resource has a tag value of ‘font’ then its difficulty will be ‘easy’ and its instructional level will be ... See full document
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Measuring Semantic Relations between Human Activities
... phrase-level semantic textual sim- ilarity dataset comprised of human activ- ity phrases, providing a testbed for auto- mated systems that analyze relationships between phrasal descriptions of people’s ... See full document
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Measuring MWE compositionality using semantic annotation
... a semantic lexical resource which maps MWEs and words to their semantic features provides a practical way of measuring the MWE ...to semantic field information of large number of MWE and ... See full document
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Measuring semantic content in distributional vectors
... distributional semantic space, for instance, the word ‘cat’ may be close to ‘dog’ or to ‘tiger’, and its vector might have high values along the dimensions ‘meow’, ‘mouse’ and ... See full document
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Measuring value sensitivity in medicine
... We believe that the proposed instrument provides the following advantages: (1) previous research suggests that value-sensitivity is domain specific (see [4]). Identifying specific subcomponents of ... See full document
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A Semantic Network Approach to Measuring Relatedness
... sponse speed and accuracy when the prime and target are semantically related. 143 word pairs were tested across 6 different lexical re- lations: antonymy (e.g., enemy, friend ); con- ceptual association (e.g., bed, sleep ... See full document
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Folksonomies, the Semantic Web, and Movie Recommendation
... Although folksonomies provide structures that are considered to be formally weak or unmotivated, they do have two advantages in this particular ...greater value than an ontology of films, which might ... See full document
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Word Space Modeling for Measuring Semantic Specificity in Chinese
... Latent Semantic Analysis (LSA) with dimension- reduction technique, Singular Value Decomposi- tion (SVD)(Landauer and Dumais, 1997; Karl- gren and Sahlgren, 2001; Sahlgren, 2002; Wid- dows et ... See full document
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Measuring the semantic relatedness between words and images
... original semantic space, correlation with human ratings increased steeply to around ...the semantic space, word classification accuracy stays consistently at ... See full document
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Learning based Composite Metrics for Improved Caption Evaluation
... or semantic, and fail to meet a satisfactory level of correlation with hu- man judgements at the ...and semantic metrics as features, to cap- ture the adequacy and fluency of captions at different ... See full document
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Measuring the Limit of Semantic Divergence for English Tweets.
... of semantic divergence of an expression? To find out the answers ...i.e. measuring the semantic divergence of English sentence, we prepare a cor- pus of sentence variants by preserving the mean- ing ... See full document
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Ontology - based Semantic Value Conversion
... of semantic vocabulary semantic annotation add semantic information to carry out, not only convenient people recognition, also good for computer ...processing.The semantic annotation is the ... See full document
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Mutual Contextualization in Tripartite Graphs of Folksonomies
... result of such social and collaborative tagging is given the name folksonomy [1]. Collaborative tagging and folksonomy possess a number of advantages which account for its popularity [4]. These include its simplicity as ... See full document
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Understanding the Semantics of Ambiguous Tags in Folksonomies
... in folksonomies can be utilized to provide other services, such as identifying user interests, recom- mending relevant documents or constructing light-weight ... See full document
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