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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
Perceptual Image/Video Segmentation and Semantic Classification
Perceptual Image/Video Segmentation and Semantic Classification
Published: 2012/08/22
Channel: GoogleTalksArchive
A Programming Language for Games, talk #2
A Programming Language for Games, talk #2
Published: 2014/09/26
Channel: Jonathan Blow
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
PhotoTechEDU Day 10: Image Compression Part 2
PhotoTechEDU Day 10: Image Compression Part 2
Published: 2007/10/09
Channel: GoogleTechTalks
exploring application level semantics for data compression
exploring application level semantics for data compression
Published: 2012/12/05
Channel: IEEE PROJECTS MICANS INFOTECH
Full Resolution Image Compression With Recurrent Neural Networks
Full Resolution Image Compression With Recurrent Neural Networks
Published: 2017/07/28
Channel: ComputerVisionFoundation Videos
6 - 4 - Constructing compression functions -Cryptography-Professor Dan Boneh
6 - 4 - Constructing compression functions -Cryptography-Professor Dan Boneh
Published: 2012/04/17
Channel: OpenCourseOnline
Exploring Application-Level Semantics for Data Compression ieee 2011 projects
Exploring Application-Level Semantics for Data Compression ieee 2011 projects
Published: 2011/10/25
Channel: projectsnine
Uncovering Semantic Similarities between Query Terms
Uncovering Semantic Similarities between Query Terms
Published: 2016/09/06
Channel: Microsoft Research
Semantics #6 - Metaphor and Metonymy
Semantics #6 - Metaphor and Metonymy
Published: 2016/10/08
Channel: Ling Troduction
Designing an Efficient Image Encryption-Then Compression System via Prediction Error Clustering
Designing an Efficient Image Encryption-Then Compression System via Prediction Error Clustering
Published: 2014/09/02
Channel: jpinfotechprojects
Explained: The Conceptual Metaphor
Explained: The Conceptual Metaphor
Published: 2012/11/15
Channel: Phloneme
Semantic Security against Web Application Attacks
Semantic Security against Web Application Attacks
Published: 2014/01/15
Channel: Elsevier Journals
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
Semantic content recognition in PDF, and what’s next - Ivan Nincic
Semantic content recognition in PDF, and what’s next - Ivan Nincic
Published: 2015/12/12
Channel: PDF Association
Final Year Projects | Semantic Web service discovery using natural language processing techniques
Final Year Projects | Semantic Web service discovery using natural language processing techniques
Published: 2014/07/19
Channel: ClickMyProject
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
SAFE Semantic Audio Plugins walk through Tutorial
SAFE Semantic Audio Plugins walk through Tutorial
Published: 2014/12/08
Channel: Semantic Audio
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
Dictionary Based Secure Provenance Compression for Wireless Sensor Networks
Dictionary Based Secure Provenance Compression for Wireless Sensor Networks
Published: 2016/09/02
Channel: 1 Crore Projects Vadapalani
Representation: Compression - Mathematical Notations
Representation: Compression - Mathematical Notations
Published: 2012/05/18
Channel: utprojectengage
PCA SVD in image compression
PCA SVD in image compression
Published: 2013/03/16
Channel: Anselm Griffin
Lecture - 25 Fast Motion Estimation Techniques
Lecture - 25 Fast Motion Estimation Techniques
Published: 2008/10/14
Channel: nptelhrd
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: 2017/01/23
Channel: MAD differences
Final Year Project | SEMANTIC UPDATED METADATA ORGANIZATION PARADIGM IN NEXT-GENERATION CATEGORIZER
Final Year Project | SEMANTIC UPDATED METADATA ORGANIZATION PARADIGM IN NEXT-GENERATION CATEGORIZER
Published: 2015/05/11
Channel: udhaya kannusamy
BroadE: Data compression with reduce reads
BroadE: Data compression with reduce reads
Published: 2013/03/04
Channel: Broad Institute
Compression/Decompression Demo
Compression/Decompression Demo
Published: 2014/11/05
Channel: IBM Research
Compressed Thoughts - Real-time Compression
Compressed Thoughts - Real-time Compression
Published: 2010/03/26
Channel: storwizeorli
Semantic Synchrony, ultrafast video demo
Semantic Synchrony, ultrafast video demo
Published: 2017/04/26
Channel: Jeffrey Brown
SAP ASE 16: Compression Advisor
SAP ASE 16: Compression Advisor
Published: 2014/03/28
Channel: SAP Technology
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
a Semantic Synchrony demo
a Semantic Synchrony demo
Published: 2017/04/17
Channel: Jeffrey Brown
Compress process (2)
Compress process (2)
Published: 2009/09/02
Channel: rosa menkman
valentin - Compress Me, Stupid!
valentin - Compress Me, Stupid!
Published: 2014/09/22
Channel: EuroPython Conference
Theory of Semantics
Theory of Semantics
Published: 2015/01/08
Channel: pyrrho314
KQ8.F Super RAD Compression Demofilm
KQ8.F Super RAD Compression Demofilm
Published: 2009/09/09
Channel: SchweinpegResearch
Tsachy Weissman - Compression for Similarity Queries
Tsachy Weissman - Compression for Similarity Queries
Published: 2014/01/21
Channel: Center for Science of Information NSF STC
Three Minute Thesis - Perceptual Compression of Dynamic Textures
Three Minute Thesis - Perceptual Compression of Dynamic Textures
Published: 2016/09/07
Channel: Karam Naser
Web Image Re Ranking Using Query Specific Semantic Signatures
Web Image Re Ranking Using Query Specific Semantic Signatures
Published: 2014/11/08
Channel: manju nath
Final Year Projects | Semantic-Aware Metadata Organization Paradigm in Next-Generation File Systems
Final Year Projects | Semantic-Aware Metadata Organization Paradigm in Next-Generation File Systems
Published: 2012/08/05
Channel: ClickMyProject
Transactional Memory: From Semantics to Silicon
Transactional Memory: From Semantics to Silicon
Published: 2007/10/09
Channel: GoogleTechTalks
Final Year Projects 2015 | Web Image Reranking System using query specific semantic key
Final Year Projects 2015 | Web Image Reranking System using query specific semantic key
Published: 2015/06/05
Channel: myproject bazaar
Japanese Sentence Compression using Simple English Wikipedia
Japanese Sentence Compression using Simple English Wikipedia
Published: 2015/10/22
Channel: 長岡技術科学大学 自然言語処理研究室
SYNAPSE, semantic file launcher, on Ubuntu
SYNAPSE, semantic file launcher, on Ubuntu
Published: 2010/12/14
Channel: iloveubuntudotnet
Shape2vec: Understanding 3D Shapes With AI | Two Minute Papers #138
Shape2vec: Understanding 3D Shapes With AI | Two Minute Papers #138
Published: 2017/03/22
Channel: Two Minute Papers
Text Similarity (Introduction) - Natural Language Processing | Michigan
Text Similarity (Introduction) - Natural Language Processing | Michigan
Published: 2016/03/25
Channel: Video Tutorials - All in One
traversal & compression-classification, guided by the data
traversal & compression-classification, guided by the data
Published: 2017/03/29
Channel: Jeffrey Brown
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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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