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https://ceur-ws.org/Vol-1784/preface.pdf
Preface
This volume includes the works presented at our First Regional Consortium for
Computing Sciences and Foundation, RCCS 2016, joint with the First Interna-
tional Workshop on Knowledge Requirements: Acquisition and Representation,
KRAR 2016, held on October 27–28, 2016 at the Institute for Engineering and
Technology, Mexico. This time we have extended our interest to include more
general topics related to Computer Science and Artificial Intelligence, AI.
On the RCCS side, there were an invited paper and nine submissions with
one withdrawn work. Each submission was reviewed by at least two persons, and
on the average 2.63, program committee members. We have decided to accept
two papers, giving an acceptance rate of 0.25. See Fig. 1.
Fig. 1. RCCS Statistics.
The program also includes one invited talk, whose work has received a first
prize in its category of Physics, Mathematics and Earth Sciences; at the 4th
Meeting for Young Researchers in Chihuahua State (4o Encuentro de Jvenes
Investigadores en el Estado de Chihuahua), 2016.
Regarding the KRAR workshop, there were ten submissions and one with-
drawn paper. The accepted papers were six, giving an acceptance rate of 0.67.
Each submission has been reviewed by peer reviewers, and carefully evaluated
based on originality, significance, clarity and scientific-technical rigor reported.
This edition of the joint workshop-consortium has been organized by The
Institute for Engineering and Technology, IIT/UACJ, at the Autonomous Uni-
versity of Juarez. The aim of the regional consortium is to identify areas of
most demand and impact in the region Juarez-El Paso-Las Cruces, in computer
sciences, Mathematics and AI. Once being identified, we can exploit them. In
particular the aim at exploiting regional needs for the mid and long terms can
be a foundation for present and future academic infrastructure.
The purpose of the Consortium is to promote the betterment of computer-
oriented curricula in two- and four-year colleges and universities; to improve the
use of computing as an educational resource for all disciplines; to encompass
regional constituencies devoted to this purpose; and to promote an international
liaison among local, regional organizations also devoted to this purpose. Pre-
dominantly these colleges and universities are oriented toward research and de-
velopment both academy and transformation/services industry. The Consortium
holds meetings in conjunction with other computer education organizations, on
its own, and sponsors sessions and tracks at such meetings. The term meetings
of the membership are held at the Institute for Engineering and Technology, at
the University of Juarez.
The topics of interest they were classified as follows, and they included (not
limited to):
Foundation of Computing Systems: Both logic, mathematics and theory of
computing for intelligent systems, which may include
– Logic programming and non-monotonic reasoning
– Knowledge representation
– Automated reasoning
– Non-classical logics
– Artificial Intelligence
– Agent and Intelligent Systems
– Cognitive Systems
– Natural Language Processing
Implementation of computing systems: for innovating emerging R&D prob-
lems systems, which may include
– System descriptions, comparisons, evaluations
– Benchmarks, and testbeds
– Prototypes and solvers
– Algorithms and novel techniques for efficient evaluation
Applications of Computing Systems: in the domain of intelligent systems,
which may include
– Digital security
– Distributed systems
– Software Engineering
– Novel applications in AI
– Cloud Computing and Big Data
– Integration of several computing paradigms
– Use of AI in formalization of Commonsense Reasoning and other areas
of AI
– Languages and algorithms in diagnosis
– Data integration and exchange systems, software engineering and model
checking
– Applications to linguistics, psychology and other sciences
– Systems of systems
– Image processing, reconstruction and restoration
– Embedded Systems
On the other hand, the aim of the KRAR workshop is to bring together ac-
tive researchers in experimental and formal areas of knowledge engineering and
software development. Its goal is to provide a forum to exchange and discuss
recent advances, results, experiences and lessons learned from the development
of intelligent solutions, techniques, methods, strategies and models, to facilitate
and make effective knowledge elicitation process and turning it tangible through
a representation. The KRAR workshop also attempts to unify the areas of Re-
quirements Engineering, Knowledge Engineering and Software Engineering.
The topics of interest for KRAR 2016 workshop are related with innovative
ways that incorporate current advances of Knowledge Requirements (acquisition
and representation) from: Cognitive tasks, Hybrid models, Knowledge Discovery,
Machine Learning, Natural Language Processing, Intelligent Data Analysis, Soft-
Computing, and Statistical Techniques among others.
The topics of interest they were classified as follows, and they included (not
limited to):
Knowledge Requirements acquisition from and representation by:
– Cognitive tasks
– Hybrid models of knowledge extraction, whereby machine learning meth-
ods are integrated by formal or non formal structures of knowledge rep-
resentation
– Incremental knowledge bases
– Knowledge discovery
– Meta models
– Machine Learning
– Natural language processing applications
– Ill-Structured domains
– Intelligent Data Analysis on: News, Opinions, Web, Databases
– Ontologies
– Semantic Approaches
– Sentiment Analysis
– Social Collaboration Platforms
– Social Networks
– Soft Computing
– Statistical Techniques
Knowledge Requirements acquisition lifecycle: as the process of discov-
ering the system purpose
– identifying the client needs
– documenting the needs in an suitable to analysis
– implementation
Requirements Engineering: systematic and repeatable techniques for
– completeness
– consistency
– relevance
Knowledge Elicitation: knowledge acquisition from a domain expert to enter
into the knowledge base of an expert system
Tacit Knowledge Uses and Management: a class of knowledge difficult to
transfer to another person in any form of language
– acquisition
– distribution
– effective use
Knowledge Representation: information about the world in a form that a
computer system can utilize to solve complex tasks
– diagnosing a medical condition
– dialog in anatural language
Formal representation and structuring of knowledge flow acquired from
ill-structured domains
– simultaneous interactive involvement of multiple sources
– wide-application conceptual structures
– performance of complex tasks
Knowledge Engineering: refering to all-technical scientific and social aspects
on knowledge-based systems
– building
– maintaining
– use
Knowledge Management: integrated approach to identifying, capturing, eval-
uating, retrieving, and sharing all of an enterprise’s information assets
– databases
– documents
– policies
– procedures
– previously un-captured expertise and experience on individual workers
The workshop is expected to bring together academic and industrial re-
searchers, developers and practitioners from academia, government, and industry
to discuss and exchange recent advances, results, experiences related to devel-
opment of intelligent solutions, techniques, methods, strategies and models to
facilitate and make effective the knowledge elicitation process and turning it tan-
gible through a representation. This workshop also attempts to unify the areas
of Requirements Engineering, Knowledge Engineering and Software Engineer-
ing. It will feature a keynote and a panel discussion given by researchers in the
field.
In the region there are research groups interested in these topics. As a result,
this joint consortium is designed to promote cooperation among practitioners
and researchers across disciplines who are interested in formal areas of Computer
Science, AI and Software Development. The joint efforts of the workshop and
consortium were aimed to:
– present innovative theoretical work and original applications of the formal
areas of software development and knowledge engineering;
– exchange ideas and to facilitate interaction between researchers of the formal
areas of software development and knowledge engineering;
– discuss significant recent achievements in theory and automation based on
formal areas of software development and knowledge engineering;
– present critical short- and long-term goals for formal areas of software de-
velopment and knowledge engineering;
– provide a forum for students to present their current research in formal areas
of software development and knowledge engineering, and receive feedback
from other students and researchers.
This year we have started the project. Students and researchers provided
means to explore ways in which their research may contribute to the identifi-
cation and addressing of problems of common interest in the region. We thank
local research groups; the Institute for Engineering and Technology at the Au-
tonomous University of Juarez, UACJ; the Mexican Council of Science and Tech-
nology, CONACYT; The Mexican Ministry for Public Education, SEP; the orga-
nizing and scientific committees for their support. Finally, we greatly appreciate
the local committee and staff for hosting and supporting our joint consortium
and workshop in Juarez. We are also grateful to the EasyChair team for their
support.
October, 2016 Juan C. Acosta-Guadarrama
Juarez, Mexico Jorge Rodas-Osollo
Michel Ramı́rez-Bouchot