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A modular approach for exploring the semantic structure of technical document collections

Andreas Becks, Stefan Sklorz, Matthias Jarke
2000 Proceedings of the working conference on Advanced visual interfaces - AVI '00  
The identification and analysis of an enterprise's knowledge available in a documented form is a key element of knowledge management.  ...  In this paper, we therefore present a visualization technique based on a modular approach that allows a variety of techniques from semantic document analysis to be used in the visualization of the structure  ...  This is exactly the task of Multidimensional Scaling (MDS) [17] .  ... 
doi:10.1145/345513.345361 dblp:conf/avi/BecksSJ00 fatcat:75yhsptvmzfsnhjrp6l3wzbefi

Methodologically grounded semantic analysis of large volume of chilean medical literature data applied to the analysis of medical research funding efficiency in Chile

Patricio Wolff, Sebastián Ríos, David Clavijo, Manuel Graña, Miguel Carrasco
2020 Journal of Biomedical Semantics  
Background Medical knowledge is accumulated in scientific research papers along time.  ...  Relationships between the identified semantic topics were uncovered using visualization methods.  ...  After finding out the optimal number of topics, we apply two topic modeling approaches: Latent semantic analysis (LSA) and LDA.  ... 
doi:10.1186/s13326-020-00226-w pmid:32993795 pmcid:PMC7523397 fatcat:7d45lc3cdjbyfivitgrylamxp4

Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model

Jing Wang, Yafeng Yin, Hong Man
2008 EURASIP Journal on Image and Video Processing  
With the particle filter Gaussian process dynamical model (PFGPDM), a highdimensional target trajectory dataset of the observation space is projected to a low-dimensional latent space in a nonlinear probabilistic  ...  Then, scaled conjugated gradient (SCG) is applied to optimize and smooth the initialized coordinates.  ...  This special issue addresses the dependability of those critical parts of MIR systems dealing with semantic inference.  ... 
doi:10.1155/2008/969456 fatcat:3bzflhkm4fczreoqcywmlmuwrm

Incorporating Semantic Knowledge into Latent Matching Model in Search [chapter]

Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
2016 Lecture Notes in Computer Science  
Experimental results on two datasets from an app search engine demonstrate that our model can make effective use of semantic knowledge, and thus can significantly enhance the accuracies of latent matching  ...  The semantic knowledge can be categories of queries and documents as well as synonyms of words, manually or automatically created.  ...  Latent semantic indexing (LSI) [3] is one typical non-probabilistic topic model.  ... 
doi:10.1007/978-3-319-48051-0_3 fatcat:mao6xjmkmzcu3p3x5xyersjmda

Science Visualization and Discursive Knowledge [article]

Loet Leydesdorff
2016 arXiv   pre-print
Latent Semantic Analysis (LSA) focuses on the latent dimensions in textual data; social network analysis (SNA) on the observable networks.  ...  of communication along the various dimensions that operate with different codes.  ...  However, the solution for each year is already an optimization of a higher-dimensional configuration into the two-dimensional plane.  ... 
arXiv:1206.3746v4 fatcat:ctsle2wn2fehvkihjorq4zmxha

A New Spatial Classification Methodology for Simultaneous Segmentation, Targeting, and Positioning (STP Analysis) for Marketing Research [chapter]

Wayne S. DeSarbo, Simon J. Blanchard, A. Selin Atalay
2009 Review of Marketing Research  
An application is provided concerning consumers' intentions to buy various competitive brands of portable telephones.  ...  We first begin with a brief review of the STP framework and optimal product positioning literature.  ...  mixture or latent class multidimensional scaling models (cf.  ... 
doi:10.1108/s1548-6435(2008)0000005008 fatcat:zgb4zsxgpnhkbjlfdkiokpmjhi

High order pLSA for indexing tagged images

S. Nikolopoulos, S. Zafeiriou, I. Patras, I. Kompatsiaris
2013 Signal Processing  
Then, by treating images, visual features and tags as the three observable variables of an aspect model, we learn a space of latent topics that incorporates the semantics of both visual and tag information  ...  Towards this objective, we propose the extension of probabilistic latent semantic analysis to higher order, so as to become applicable for more than two observable variables.  ...  Finally, a 3-order tensor is used also by the authors of [32] that propose an approach to capture the latent semantics of Web data.  ... 
doi:10.1016/j.sigpro.2012.08.004 fatcat:2bacd2atq5eivn6ths6ehftzc4

Extracting and visualizing semantic structures in retrieval results for browsing

Katy Börner
2000 Proceedings of the fifth ACM conference on Digital libraries - DL '00  
The paper introduces an approach that allows one to visualize the semantic structure of retrieval results for browsing.  ...  A modified Boltzman algorithm is used to spatially visualize co-citation patterns and semantic similarity networks of retrieved documents for interactive exploration.  ...  ACKNOWLEDGMENTS Robert Goldstone and Mark Steyvers have been valuable discussion partners and influenced the selection and optimization of the LSA algorithms and the clustering algorithms applied.  ... 
doi:10.1145/336597.336672 dblp:conf/dl/Borner00 fatcat:c5nhfpl4ubgafec3jqxyn4lw24

Safety Knowledge and Changing Behavior in Agricultural Workers: an Assessment Model Applied in Central Italy

Massimo Cecchini, Roberto Bedini, Davide Mosetti, Sonia Marino, Serenella Stasi
2018 Safety and Health at Work  
Agriculture is one of the human work activities with the highest risk indexes.  ...  Through the use of the "principal components analysis" it was possible to highlight and verify the latent dimensions underlying the collected data in comparison with scales of attitudes.  ...  This is because through the use of the PCA, it is possible to highlight and verify the latent dimensions underlying the collected data in comparison with the scale of attitudes, having an auxiliary theory  ... 
doi:10.1016/j.shaw.2017.07.009 pmid:29928530 pmcid:PMC6005907 fatcat:vn47eznnefeavdgfj3p2ef5lim

Multidimensional content eXploration

Alkis Simitsis, Akanksha Baid, Yannis Sismanis, Berthold Reinwald
2008 Proceedings of the VLDB Endowment  
Multidimensional Content eXploration (MCX) is about effectively analyzing and exploring large amounts of content by combining keyword search with OLAP-style aggregation, navigation, and reporting.  ...  Content Management Systems (CMS) store enterprise data such as insurance claims, insurance policies, legal documents, patent applications, or archival data like in the case of digital libraries.  ...  Our approach is inspired by Latent Semantic Indexing (LSI [12] ), which is a technique in natural language processing for analyzing relationships between a set of documents and the terms that they contain  ... 
doi:10.14778/1453856.1453929 fatcat:nhlflydnpjgydeg6dahnmtmrim

Modeling Individual Subtests of the WAIS IV with Multiple Latent Factors

Dennis J. McFarland, Pedro Antonio Valdes-Sosa
2013 PLoS ONE  
The present study used structural equation modeling to evaluate several multidimensional models of the Wechsler Adult Intelligence Scales-fourth edition (WAIS-IV) subtests.  ...  These results support the view that performance on any given cognitive test is potentially the result of multiple factors. Simple structure may be too simple.  ...  Acknowledgments I would like to thank Loretta Malta for her helpful comments on an earlier version of this manuscript. Author Contributions Conceived and designed the experiments: DJM.  ... 
doi:10.1371/journal.pone.0074980 pmid:24058643 pmcid:PMC3772883 fatcat:2xpf6f5zgndp5mgeo4m6zcpcfu

A Novel Updating Scheme for Probabilistic Latent Semantic Indexing [chapter]

Constantine Kotropoulos, Athanasios Papaioannou
2006 Lecture Notes in Computer Science  
Probabilistic Latent Semantic Indexing (PLSI) is a statistical technique for automatic document indexing. A novel method is proposed for updating PLSI when new documents arrive.  ...  The performance of the proposed method is compared to that of the folding-in algorithm, which is an inexpensive, but potentially inaccurate updating method.  ...  Acknowledgments This work has been supported by the FP6 European Union Network of Excellence MUSCLE "Multimedia Understanding through Semantics, Computation and Learning" (FP6-507752).  ... 
doi:10.1007/11752912_16 fatcat:smbxezlcozat5nwtrwmqnjfsly

Semantic-Preserving Word Clouds by Seam Carving

Yingcai Wu, Thomas Provan, Furu Wei, Shixia Liu, Kwan-Liu Ma
2011 Computer graphics forum (Print)  
Case studies are conducted to demonstrate the effectiveness and usefulness of our techniques.  ...  Each seam is a connected path of low energy regions determined by a Gaussian-based energy function.  ...  ∀i, |y(i) − y(i − 1)| ≤ 1 (4) where x( j) is a function which maps an input column index j to a typical row index i, while y(i) is a function which maps an input row index i to a typical column index j  ... 
doi:10.1111/j.1467-8659.2011.01923.x fatcat:llkpskliurdydcss5jjxwrw4fi

SmartStore

Yu Hua, Hong Jiang, Yifeng Zhu, Dan Feng, Lei Tian
2009 Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09  
To the best of our knowledge, this is the first study implementing complex queries in large-scale file systems.  ...  SmartStore limits search scope of complex query to a single or a minimal number of semantically related groups and avoids or alleviates brute-force search in entire system.  ...  We propose to use Latent Semantic Indexing (LSI) [12, 13] as a tool to measure semantic correlation.  ... 
doi:10.1145/1654059.1654070 dblp:conf/sc/HuaJZFT09 fatcat:pqtgvr76zrfw7a356rryomaecu

Latent Class Analysis for Marketing Scale Development

Francesca Bassi
2011 International Journal of Market Research  
Items forming scales are instead rarely measured on an metric level, frequently items are ordinal, in some rare cases, nominal.  ...  In this paper, it is shown how the implementation of latent class analysis may improve the process of measurement scale development since it explicitly considers that items generate ordinal or even nominal  ...  In this case, estimation results may be biased and also indexes of model fit may give misleading results.  ... 
doi:10.2501/ijmr-53-2-209-230 fatcat:xwhyxn7vbvgrvlgow2aokmdhki
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