Cosmetic Products Analysis of Trends Through Knowledge Engineering Techniques

Cosmetic Products
Analysis of Trends Through Knowledge
Engineering Techniques

Rafael Bailón Moreno1
Rosario Ruiz-Baños1
José Pino-Díaz2
Laila Chiadmi-García1
Francisco Félix Maldonado-Calvache1
(1) Universidad de Granada (2) Universidad de Málaga

Summary
THROUGH KNOWLEDGE ENGINEERING TECHNIQUES
COSMETIC PRODUCTS: ANALYSIS OF TRENDS

 Introduction
 Methodology
 Co-word Analysis
 Strategic and structural analysis
 Dynamic analysis or trend analysis
 Corpus documental
 Knowledge System
Results and Analysis
 Production
 Centres of interest: research themes
 Strategic diagrams and centres of interest
CED 2013 leaders
 Trend analysis
 Conclusions

Introduction

Data and information technoscientific are so
superabundant that even experts in a technical
field are not able to read and know…

The speed in the development of new materials
and products, new applications and technologies,
and trends are changing so fast that the
imperative need of "to be well informed" but
without "Irrelevant information overload " is
critical
CED 2013

THROUGH KNOWLEDGE ENGINEERING TECHNIQUES Introduction
Knowledge engineering is a recently developed
discipline that can process massive amounts of

information to convert them to positive knowledge.

The positive knowledge is knowledge about a given
subject that allows decisions correctly founded.

The Scientific and Technological Surveillance is one
activity carried out product engineer-and in general by
all persons required to make decisions in the scientific,
CED 2013 technological or management for know the latest news
and trends related to your technoscientific field or to
the type of products developed

Introduction

The purpose of this study is highlighting
the latest trends in the scientific and
technological development of new
cosmetic products using knowledge
engineering tools

CED 2013

Methodology

 Introduction
 Methodology
 Co-word Analysis
 Strategic and structural analysis
 Dynamic analysis or trend analysis
 Corpus documental
 Knowledge System
 Production
CED 2013 leaders
 Trend analysis
 Conclusions

Methodology
Co-word Analysis

Co-word analysis is a method used in knowledge discovery in
bibliographic databases.

Two actors, i.e. two words, two concepts, two
researchers, are interrelated when frequently
appear in the same documents. At the same
time, these two actors are associated with
others different actors and so on to form a
large technoscientific network.
2
The strength of the bond between two words i and j (or cij
other actors) is quantified with the equivalence index: eij 
CED 2013
ci c j
When all words of all documents are compared an adjacency matrix is
obtained. This matrix represents the network of actors.

Methodology
Co-word Analysis

Within the technoscientific network there are areas where the density of
links around some nodes is greater than in the rest of the network.
These areas consist on very connected nodes that are called centres of
interest, because they represent sets of relationships specially developed.

CED 2013

Methodology
Strategic and structural analysis

When actors are words or concepts, the interest centres represent the
research topics or research themes that are relevant in the network of actors.

1) Density: Represents
the average intensity of
the links of a theme.
2) Centrality: Represents
how close to the centre
of the network is the
theme. It is measured by
the number of links of
CED 2013 this topic to rest of
technoscientific network.

Methodology
Dynamic analysis or trend analysis

Research topics are redefined in the course of
time, the words of the themes are modified
according research progresses and new
Therefore, a careful analysis discoveries are being imposed.
of the words that disappear Density
and appear in the topics and Actor
their evolution within the (at year 2013)
strategic diagram, will explain Actor
what might be the future (at year 2019?)
scenario of the techno- Centrality
scientific research in the field
that is being considered. Actor
Actor (at year 2007)
CED 2013
(at year 2001)

Methodology
Corpus documental

Bibliographic database: Scopus
Time period: 2001-2012

Interrogation: TITLE-ABS-KEY (cosmetic * product *) AND
PUBYEAR> 2000 AND PUBYEAR <2013>

Four sub-periods of three years each: 2001-2003,
CED 2013 2004-2006, 2007-2009, 20010-2012

Number of documents: 7621

Methodology
Knowledge System

Techné
Coword
1.0
Software developed
by the research group
Techné, Knoeledge
CED 2013 and Product
Engineering

Results and Analysis

 Introduction
 Methodology
 Co-word Analysis
 Strategic and structural analysis
 Dynamic analysis or trend analysis
 Corpus documental
 Knowledge System
 Production
CED 2013 leaders
 Trend analysis
 Conclusions

Production

The number of papers published each year on
cosmetics increases linearly

CED 2013 The number accumulated of
published documents grows
quadratically

Production: Institution and Company

Doc. Institution/Company Doc. Institution/Company
92 Universidade de Sao Paulo 25 The University of British Columbia
71 Procter and Gamble 25 University of California, San Francisco
59 Food and Drug Administration 25 University of Miami
54 L'Oreal 23 Johnson & Johnson
45 Universidade Estadual de Campinas 22 Cheju National University
41 Unilever 22 Henkel KGaA
40 Research Institute for Fragrance Materials, Inc. 22 Istituto Superiore Di Sanita, Rome
39 Københavns Universitet 21 Alma Mater Studiorum Università di
Bologna
39 Universität Göttingen 21 Bundesinstitut für Risikobewertung
36 Charite - Universitätsmedizin Berlin 21 Seoul National University
33 Beiersdorf AG 21 Università degli Studi di Firenze
33 Universität Erlangen-Nürnberg 21 University of Ferrara
32 Odense Universitetshospital 21 University of Massachusetts Amherst
32 Universidad de Santiago de Compostela 21 University of Toronto
32 Università degli Studi di Napoli Federico 20 Amtssygehuset i Gentofte
CED 2013 32 Universitat de Valencia 20 Freie Universität Berlin(20)
30 European Commission Joint Research Centre 20 Università degli Studi di Roma La Sapienza
27 Katholieke Universiteit Leuven 20 Universiti Putra Malaysia
27 UNESP-Universidade Estadual Paulista 20 University of California, San Diego
26 Universidade Federal do Rio de Janeiro

Centres of interest: research themes

The number of centres of
interest or research topics
identified by Techné Coword
knowledge system increases
with time

Research topics are more and
more diverse because the
CED 2013
cosmetics market is more
and more competitive

Strategic diagram: Period 2001-2003

CED 2013
• 1 TOXICITY-TESTING: TOXICITY-TESTS, CONSUMER-PRODUCT-SAFETY, SKIN-IRRITATION,
GENOTOXICITY, ANIMAL-EXPERIMENT
• 2 FEMALE: ADULT, MALE, MIDDLE-AGED, ADOLESCENT, CONTROLLED-STUDY, DERMATITIS,-
ALLERGIC-CONTACT


CED 2013


• 1 ADULT: FEMALE, MIDDLE-AGED,
MALE, AGED, ADOLESCENT,
CONTROLLED-STUDY, CONTROLLED-
CLINICAL-TRIAL, etc. (similar to
theme 2 of period 1)
• 2 ANIMALS: TOXICITY-TESTS,
GENOTOXICITY, REPRODUCTIVE-
TOXICITY, MUTAGENICITY,
CONSUMER-PRODUCT-SAFETY, etc.
(similar to theme 1 of period 1)
• 5 DERMATITIS-ALLERGIC-
CONTACT: ALLERGENS, ECZEMA, 2-
BROMO-2-
BROMOMETHYLGLUTARONITRILE,
FORMALDEHYDE, PRESERVATIVES,
FRAGRANCES, etc.
• 4 RISK-ASSESSMENT: RISK-
CED 2013 FACTORS, SKIN-IRRITATION, SKIN-
TOXICITY, EYE-IRRITATION,
EXPOSURE, HAIR-DYES, etc.


CED 2013


• 2 COSMETIC-TECHNIQUES:
BIOCOMPATIBLE-MATERIALS,
REJUVENATION, ESTHETIC-
SURGERY, FILLER, HYDROXYAPATITE,
POLYLACTIC-ACID, COLLAGEN,
PATIENT-SATISFACTION

• 3 ADULT: FEMALE, MIDDLE-AGED,
MALE, AGED, ADOLESCENT,
CONTROLLED-STUDY,
CONTROLLED-CLINICAL-TRIAL, etc

• 5 PATCH-TESTS: DERMATITIS,-
ALLERGIC-CONTACT, SKIN-ALLERGY,
CONTACT-DERMATITIS, 2-BROMO-
2-BROMOMETHYL -
CED 2013 GLUTARONITRILE, etc.

• 9 SKIN-PIGMENTATION: HYPERPIGMENTATION, MELANOCYTES, HYDROQUINONE, KOJIC-ACID,
ARBUTIN, MONOPHENOL-MONOOXYGENASE, SUNSCREEN, etc.
• 11 PERFUME: SHAMPOO, SOAP, DETERGENTS, LOTION, DEODORANT-AGENT, SKIN-IRRITANCY-
TESTS, etc.


CED 2013


• 2 VAPOR-PRESSURE: TOXICOLOGICAL-PARAMETERS, SOLUBILITY, CHEMICAL-STRUCTURE,
CONCENTRATION-RESPONSE, EXPOSURE, PRODUCT-SAFETY
• 4 ADULT: FEMALE, MIDDLE-AGED, MALE, AGED, ADOLESCENT, CONTROLLED-STUDY, CONTROLLED-
CLINICAL-TRIAL, etc

• 3 WASTEWATER: EFFLUENTS,
POLLUTANT-REMOVAL,
WASTEWATER-RECLAMATION,
WATER-TREATMENT-PLANTS, etc.
• 7 ANIMALS: TOXICITY-TESTS,
ANIMAL-TISSUE, ANIMAL-CELL,
REPRODUCTIVE-TOXICITY, DOSE-
RESPONSE-RELATIONSHIP,-DRUG, etc.
• 6 DERMATITIS,-ALLERGIC-CONTACT:
SKIN-ALLERGY, ALLERGENS,
PRESERVATIVES,-PHARMACEUTICAL,
ECZEMA, SENSITIZATION, 2-METHYL-
CED 2013 4-ISOTHIAZOLIN-3-ONE, etc.
• 10 HUMAN-CELL: IN-VITRO-STUDY,
HUMAN-TISSUE, FIBROBLASTS,
KERATINOCYTES, CELL-
PROLIFERATION, APOPTOSIS, etc.

Zoom to Carbamazepine (2010-2012): Strategic diagram

CED 2013


CED 2013
Zoom to Carbamazepine (2010-2012)


CED 2013
Trend Analysis

Trend Analysis (DRUG PRODUCTS – CARBAMAZEPINE –

WASTEWATER)

CED 2013

Trend Analysis (ANTIOXIDANTS – ANTIOXIDANT ACTIVITY)

CED 2013


Period 2 (2004-2006)

CED 2013


Period 3 (2007-2009)

CED 2013


Period 4 (2010-2012)

CED 2013

Actor Analysis

For each center of interest is possible to analyze the actors involved:

Companies and institutions

Scientists

CED 2013
Products and new developments Patents and techno-
scientific information

Conclusions

 Introduction
 Methodology
 Co-word Analysis
 Strategic and structural analysis
 Dynamic analysis or trend analysis
 Corpus documental
 Knowledge System
Results and Analysis
 Production
 Centres of interest: research themes
 Strategic diagrams and centres of interest
CED 2013 leaders
 Trend analysis
 Conclusions

THROUGH KNOWLEDGE ENGINEERING TECHNIQUES Conclusions
In the present work with the knowledge system Techné CoWord has
been possible identify the main centres of interest in research on

"cosmetic product" at different periods in the range 2001-20012.

Furthermore, in the coming years, research and development of
"cosmetic products" will be mainly focused on:
1. Analysis of water pollution of active ingredients in
pharmaceuticals and personal care products, such as
psychotropics, antibiotics, preservatives, and others.

2. Safety in the use of cosmetic products.

3. Study of the physicochemical and structural properties of
cosmetic ingredients to evaluate their activity. That is,
CED 2013 development of new Q(SAR) models.

4. The restriction of animal testing will promote new methods in-
vitro and among them are those who make use of tissue
engineering.


Thank you very much!

Rafael Bailón Moreno
bailonm@ugr.es

Follow us in Facebook: Techné, Knowledge
CED 2013 and Product Engineering Research Group
Web: http://techne-research-group.com/

Cosmetic Products Analysis of Trends Through Knowledge Engineering Techniques

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