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Midwest.io 2014 - Adventures in Semantic Dependent Data Compression - Michelle Brush
Midwest.io 2014 - Adventures in Semantic Dependent Data Compression - Michelle Brush
Published: 2014/08/05
Channel: Midwest.io
The Use of Advanced Data Compression Algorithms in Semantic-Field Shift Computations (ADCASEFCO)
The Use of Advanced Data Compression Algorithms in Semantic-Field Shift Computations (ADCASEFCO)
Published: 2009/09/19
Channel: SchweinpegResearch
exploring application level semantics for data compression
exploring application level semantics for data compression
Published: 2012/12/05
Channel: IEEE PROJECTS MICANS INFOTECH
CAN Compression based IDS | András Gazdag
CAN Compression based IDS | András Gazdag
Published: 2017/11/15
Channel: Fachhochschule St. Pölten
Exploring Application-Level Semantics for Data Compression(IEEE PROJECT)
Exploring Application-Level Semantics for Data Compression(IEEE PROJECT)
Published: 2014/07/23
Channel: jayesh baviskar
Perceptual Image/Video Segmentation and Semantic Classification
Perceptual Image/Video Segmentation and Semantic Classification
Published: 2012/08/22
Channel: GoogleTalksArchive
Introduction to Data Compression - What is Data Compression and How Does it Work
Introduction to Data Compression - What is Data Compression and How Does it Work
Published: 2015/09/23
Channel: Fullstack Academy
6 - 4 - Constructing compression functions -Cryptography-Professor Dan Boneh
6 - 4 - Constructing compression functions -Cryptography-Professor Dan Boneh
Published: 2012/04/17
Channel: OpenCourseOnline
Audiovisual Semantic Congruency During Encoding En
Audiovisual Semantic Congruency During Encoding En
Published: 2015/04/29
Channel: Yusuf Ibrahim
BroadE: Data compression with reduce reads
BroadE: Data compression with reduce reads
Published: 2013/03/04
Channel: Broad Institute
Uncovering Semantic Similarities between Query Terms
Uncovering Semantic Similarities between Query Terms
Published: 2016/09/06
Channel: Microsoft Research
Compressed Thoughts - Real-time Compression
Compressed Thoughts - Real-time Compression
Published: 2010/03/26
Channel: storwizeorli
A Programming Language for Games, talk #2
A Programming Language for Games, talk #2
Published: 2014/09/26
Channel: Jonathan Blow
Lossless Vs. Lossy Vs. Perceptually Lossless Compression
Lossless Vs. Lossy Vs. Perceptually Lossless Compression
Published: 2011/08/21
Channel: Chris Pirillo
Mod-01 Lec-28 PCA; SVD; Towards Latent Semantic Indexing(LSI)
Mod-01 Lec-28 PCA; SVD; Towards Latent Semantic Indexing(LSI)
Published: 2012/07/03
Channel: nptelhrd
Representation: Compression - Mathematical Notations
Representation: Compression - Mathematical Notations
Published: 2012/05/18
Channel: utprojectengage
The Semantic Shift
The Semantic Shift
Published: 2012/05/31
Channel: rivervalleytv
Base-Delta-Immediate Compression: Practical Data Compression for On-Chip Caches
Base-Delta-Immediate Compression: Practical Data Compression for On-Chip Caches
Published: 2016/07/27
Channel: Microsoft Research
IEEE_2011_DOT NET Exploring Application-Level Semantics for Data Compression
IEEE_2011_DOT NET Exploring Application-Level Semantics for Data Compression
Published: 2013/07/30
Channel: PG Embedded Systems
Google Your Life    Learning Sensors Data, Dan Feldman, Massachusetts Institute of Technology
Google Your Life Learning Sensors Data, Dan Feldman, Massachusetts Institute of Technology
Published: 2016/03/13
Channel: MMDS Foundation
Semantics #6 - Metaphor and Metonymy
Semantics #6 - Metaphor and Metonymy
Published: 2016/10/08
Channel: Ling Troduction
GDC Booth Presentation by ARM - ASTC: the future of texture compression
GDC Booth Presentation by ARM - ASTC: the future of texture compression
Published: 2013/04/24
Channel: Arm
Tension Wood  Vs  Compression Wood  -  Difference Between Tension Wood And  Compression Wood
Tension Wood Vs Compression Wood - Difference Between Tension Wood And Compression Wood
Published: 2017/01/17
Channel: MAD differences
Tsachy Weissman - Compression for Similarity Queries
Tsachy Weissman - Compression for Similarity Queries
Published: 2014/01/21
Channel: Center for Science of Information NSF STC
Computer Software & Setup : What Is Data Compression?
Computer Software & Setup : What Is Data Compression?
Published: 2009/01/03
Channel: expertvillage
R. Alexander Miłowski (UC, Berkeley): Semantic Hybridization: Mixing RDFa and JSON-LD
R. Alexander Miłowski (UC, Berkeley): Semantic Hybridization: Mixing RDFa and JSON-LD
Published: 2015/05/30
Channel: XMLPrague
Three Minute Thesis - Perceptual Compression of Dynamic Textures
Three Minute Thesis - Perceptual Compression of Dynamic Textures
Published: 2016/09/07
Channel: Karam Naser
Dimensionality Reduction with SVD | Stanford University
Dimensionality Reduction with SVD | Stanford University
Published: 2016/04/13
Channel: Video Tutorials - All in One
SAP ASE 16: Compression Advisor
SAP ASE 16: Compression Advisor
Published: 2014/03/28
Channel: SAP Technology
Semantic Wire
Semantic Wire's automated news analysis system
Published: 2011/09/14
Channel: post2web
Metaphor and metonymy
Metaphor and metonymy
Published: 2013/08/18
Channel: Martin Hilpert
traversal & compression-classification, guided by the data
traversal & compression-classification, guided by the data
Published: 2017/03/29
Channel: Jeffrey Brown
Frequency Compression Data
Frequency Compression Data
Published: 2013/03/05
Channel: Jeffrey Doka
Creating SPO in SAP BW 73
Creating SPO in SAP BW 73
Published: 2014/08/01
Channel: Lenin Kumar Vutla
SAP D&T Academy - How to Configure and Use Semantic Partitioning in SAP Sybase ASE
SAP D&T Academy - How to Configure and Use Semantic Partitioning in SAP Sybase ASE
Published: 2012/12/07
Channel: SAP Technology
SAFE Semantic Audio Plugins walk through Tutorial
SAFE Semantic Audio Plugins walk through Tutorial
Published: 2014/12/08
Channel: Semantic Audio
Web Image Re-Ranking Using Query-Specific Semantic Signatures
Web Image Re-Ranking Using Query-Specific Semantic Signatures
Published: 2014/12/23
Channel: jpinfotechprojects
Saliency-aware video compression
Saliency-aware video compression
Published: 2013/06/06
Channel: SFU MCL
Performances on Infocube in SAP BW
Performances on Infocube in SAP BW
Published: 2016/12/22
Channel: SKT INSTITUTE
Masked smoothing demo
Masked smoothing demo
Published: 2013/05/06
Channel: otacon5555
Leifendeth - Fusion Reaction (overdrive edit)
Leifendeth - Fusion Reaction (overdrive edit)
Published: 2009/04/07
Channel: Leifendeth Official
Web Image Re Ranking UsingQuery Specific Semantic Signatures
Web Image Re Ranking UsingQuery Specific Semantic Signatures
Published: 2014/06/23
Channel: siva kumar
Explained: The Conceptual Metaphor
Explained: The Conceptual Metaphor
Published: 2012/11/15
Channel: Phloneme
Editing and moving in Semantic Synchrony
Editing and moving in Semantic Synchrony
Published: 2017/03/23
Channel: Jeffrey Brown
A Novel Joint Data Hiding and Compression Scheme Based on SMVQ and Image Inpainting
A Novel Joint Data Hiding and Compression Scheme Based on SMVQ and Image Inpainting
Published: 2015/02/27
Channel: siva kumar
ICLR 2016 Best Paper Award: Deep Compression by Song Han
ICLR 2016 Best Paper Award: Deep Compression by Song Han
Published: 2016/05/15
Channel: Song Han
MATLAB A Novel Hybrid Image Compression Technique Wavelet MFOCPN
MATLAB A Novel Hybrid Image Compression Technique Wavelet MFOCPN
Published: 2013/09/14
Channel: PG Embedded Systems
visual compression algorithm
visual compression algorithm
Published: 2007/04/02
Channel: seasonago
Lecture - 25 Fast Motion Estimation Techniques
Lecture - 25 Fast Motion Estimation Techniques
Published: 2008/10/14
Channel: nptelhrd
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
Published: 2011/11/07
Channel: freeprojects
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WIKIPEDIA ARTICLE

From Wikipedia, the free encyclopedia
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In natural language processing, semantic compression is a process of compacting a lexicon used to build a textual document (or a set of documents) by reducing language heterogeneity, while maintaining text semantics. As a result, the same ideas can be represented using a smaller set of words.

Semantic compression is a lossy compression, that is, some data is being discarded, and an original document cannot be reconstructed in a reverse process.

Semantic compression by generalization[edit]

Semantic compression is basically achieved in two steps, using frequency dictionaries and semantic network:

  1. determining cumulated term frequencies to identify target lexicon,
  2. replacing less frequent terms with their hypernyms (generalization) from target lexicon.[1]

Step 1 requires assembling word frequencies and information on semantic relationships, specifically hyponymy. Moving upwards in word hierarchy, a cumulative concept frequency is calculating by adding a sum of hyponyms' frequencies to frequency of their hypernym: where is a hypernym of . Then, a desired number of words with top cumulated frequencies are chosen to build a targed lexicon.

In the second step, compression mapping rules are defined for the remaining words, in order to handle every occurrence of a less frequent hyponym as its hypernym in output text.

Example

The below fragment of text has been processed by the semantic compression. Words in bold have been replaced by their hypernyms.

They are both nest building social insects, but paper wasps and honey bees organize their colonies

in very different ways. In a new study, researchers report that despite their differences, these insects rely on the same network of genes to guide their social behavior.The study appears in the Proceedings of the Royal Society B: Biological Sciences. Honey bees and paper wasps are separated by more than 100 million years of

evolution, and there are striking differences in how they divvy up the work of maintaining a colony.

The procedure outputs the following text:

They are both facility building insect, but insects and honey insects arrange their biological groups

in very different structure. In a new study, researchers report that despite their difference of opinions, these insects act the same network of genes to steer their party demeanor. The study appears in the proceeding of the institution bacteria Biological Sciences. Honey insects and insect are separated by more than hundred million years of

organic processes, and there are impinging differences of opinions in how they divvy up the work of affirming a biological group.

Implicit semantic compression[edit]

A natural tendency to keep natural language expressions concise can be perceived as a form of implicit semantic compression, by omitting unmeaningful words or redundant meaningful words (especially to avoid pleonasms) .[2]

Applications and advantages[edit]

In the vector space model, compacting a lexicon leads to a reduction of dimensionality, which results in less computational complexity and a positive influence on efficiency.

Semantic compression is advantageous in information retrieval tasks, improving their effectiveness (in terms of both precision and recall).[3] This is due to more precise descriptors (reduced effect of language diversity – limited language redundancy, a step towards a controlled dictionary).

As in the example above, it is possible to display the output as natural text (re-applying inflexion, adding stop words).

See also[edit]

References[edit]

  1. ^ D. Ceglarek, K. Haniewicz, W. Rutkowski, Semantic Compression for Specialised Information Retrieval Systems, Advances in Intelligent Information and Database Systems, vol. 283, p. 111-121, 2010
  2. ^ N. N. Percova, On the types of semantic compression of text, COLING '82 Proceedings of the 9th Conference on Computational Linguistics, vol. 2, p. 229-231, 1982
  3. ^ D. Ceglarek, K. Haniewicz, W. Rutkowski, Quality of semantic compression in classification Proceedings of the 2nd International Conference on Computational Collective Intelligence: Technologies and Applications, vol. 1, p. 162-171, 2010

External links[edit]

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