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TOWARDS CONTENT-SENSITIVE ACCESS TO THE ARTEFACTS OF THE BULGARIAN ICONOGRAPHY
By: Paneva et al.
(3845 reads)
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Abstract: This paper presents an ontological model of the knowledge about Bulgarian iconographical artefacts. It
also describes content-sensitive services for access, browse, search and group iconographical objects, based on
the presented ontology that will be implemented in the multimedia digital library “Virtual encyclopedia of Bulgarian
iconography”.
Keywords: Ontology, Bulgarian Iconography, Digital Libraries, Content-sensitive services.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, H.3.7 Digital
Libraries – Collection, Dissemination, System issues.
Link:
TOWARDS CONTENT-SENSITIVE ACCESS TO THE ARTEFACTS OF THE BULGARIAN ICONOGRAPHY
Desislava Paneva, Lilia Pavlova-Draganova?, Lubomil Draganov
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p03.pdf
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USE OF KNOWLEDGE TECHNOLOGIES FOR PRESENTATION OF BULGARIAN FOLKLORE ...
By: Luchev et al.
(3966 reads)
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Abstract: Preserving and presenting the Bulgarian folklore heritage is a long-term commitment of scholars and
researchers working in many areas. This article presents ontological model of the Bulgarian folklore knowledge,
exploring knowledge technologies for presenting the semantics of the phenomena of our traditional culture. This
model is a step to the development of the digital library for the “Bulgarian Folklore Heritage” virtual exposition
which is a part of the “Knowledge Technologies for Creation of Digital Presentation and Significant Repositories
of Folklore Heritage” project.
Keywords: Knowledge Technologies, Ontology, Digital Libraries, Bulgarian Folklore, Ethnology.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, H.3.7 Digital
Libraries – Collection, Dissemination, System issues.
Link:
USE OF KNOWLEDGE TECHNOLOGIES FOR PRESENTATION OF BULGARIAN FOLKLORE HERITAGE SEMANTICS∗
Detelin Luchev, Desislava Paneva, Konstantin Rangochev
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p02.pdf
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DOUBLE-WAVELET NEURON BASED ON ANALYTICAL ACTIVATION FUNCTIONS
By: Bodyanskiy et al.
(4405 reads)
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Abstract: In this paper a new double-wavelet neuron architecture obtained by modification of standard wavelet
neuron, and its learning algorithm are proposed. The offered architecture allows to improve the approximation
properties of wavelet neuron. Double-wavelet neuron and its learning algorithm are examined for forecasting nonstationary
chaotic time series.
Keywords: wavelet, double-wavelet neuron, recurrent learning algorithm, forecasting, emulation, analytical
activation function.
ACM Classification Keywords: I.2.6 Learning – Connectionism and neural nets
Link:
DOUBLE-WAVELET NEURON BASED ON ANALYTICAL ACTIVATION FUNCTIONS
Yevgeniy Bodyanskiy, Nataliya Lamonova, Olena Vynokurova
http://www.foibg.com/ijita/vol14/ijita14-3-p14.pdf
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MATHEMATICAL MODELS OF DOMAIN ONTOLOGIES1
By: Alexander Kleshchev, Irene Artemjeva
(4192 reads)
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Abstract: In this article the notion of a mathematical model of domain ontology is introduced. The mathematical
apparatus (unenriched logical relationship systems) is essentially used. The representation of various elements of
domain ontology in its model is considered. These elements are terms for situation description and situations
themselves, knowledge and terms for knowledge description, mathematical terms and constructions, auxiliary
terms and ontological agreements. The notion of a domain model is discussed. The notions of a precise ontology
and precise conceptualization are introduced. The structures of situations and knowledge and also their
properties are considered. Merits and demerits of various classes of the domain ontology models are discussed.
Keywords: Domain ontology, domain ontology model, ontology language specification, kernel of extendable
language of applied logic, unenriched logical relationship systems, enriched logical relationship systems,
enrichment of logical relationship system.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, F.4.1. Mathematical
Logic
Link:
MATHEMATICAL MODELS OF DOMAIN ONTOLOGIES1
Alexander Kleshchev, Irene Artemjeva
http://www.foibg.com/ijita/vol14/ijita14-1-p05.pdf
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FORMING KNOWLEDGE BASES IN THE COMPUTER KNOWLEDGE BANK ON MEDICAL DIAGNOSTICS 1
By: Mary Chernyakhovskaya
(4380 reads)
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Abstract: Basic types of information resources for the computer knowledge bank on medical diagnostics are
presented. They are observation ontology and some examples of observations bases from various fields of
medicine. By the observation ontology observation bases can be formed, checked and used in the computer
knowledge bank.
Keywords: computer knowledge bank on medical diagnostics, information resources, observation ontology,
observations bases, observation group, observation
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods; H.2.8 Database
Applications
Link:
FORMING KNOWLEDGE BASES IN THE COMPUTER KNOWLEDGE BANK ON MEDICAL DIAGNOSTICS 1
Mary Chernyakhovskaya
http://www.foibg.com/ijita/vol13/ijita13-4-p11.pdf
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ONTOLOGICAL APPROACH TO DOMAIN KNOWLEDGE REPRESENTATION FOR INFORMATION ...
By: Gladun et al.
(9719 reads)
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Abstract. An ontological representation of buyer interests’ knowledge in process of e-commerce is proposed to
use. It makes it more efficient to make a search of the most appropriate sellers via multiagent systems. An
algorithm of a comparison of buyer ontology with one of e-shops (the taxonomies) and an e-commerce multiagent
system are realised using ontology of information retrieval in distributed environment.
Keywords: ontology, e-commerce, multiagent system.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods
Link:
ONTOLOGICAL APPROACH TO DOMAIN KNOWLEDGE REPRESENTATION FOR INFORMATION RETRIEVAL IN MULTIAGENT SYSTEMS
Anatoly Gladun, Julia Rogushina, Victor Shtonda+
http://www.foibg.com/ijita/vol13/ijita13-4-p10.pdf
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AN ANALYSIS OF SOME RELATIONS AMONG DOMAIN ONTOLOGIES1
By: Alexander Kleshchev, Irene Artemjeva
(3963 reads)
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Abstract: Building domain ontologies and applying them to different objectives, researchers faced the fact that
many ontologies are associated with one another by one or another relations. Therefore, the problem arose to
study relations among different ontologies of the same domains as well as of different ones. A formalization of a
relation among domain ontologies is the analogous mathematical relation among mathematical models of these
ontologies. The article considers the case when domain ontology model is represented by logical relationship
system. Relations among domain ontologies give a possibility to reuse one ontology model when another
ontology models are worked out and when new intellectual computer system for same or different domain is
worked out.
Keywords: Mathematical model of domain ontology, ontologies representing the same conceptualisation,
resemblance between ontologies, simplification of ontologies, composition of ontologies, intellectual task solver.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, F4.1. Mathematical
Logic
Link:
AN ANALYSIS OF SOME RELATIONS AMONG DOMAIN ONTOLOGIES1
Alexander Kleshchev, Irene Artemjeva
http://www.foibg.com/ijita/vol12/ijita12-1-p12.pdf
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NEW KNOWLEDGE OBTAINING IN STRUCTURAL-PREDICATE MODELS OF KNOWLEDGE
By: Valeriy Koval, Yuriy Kuk
(4693 reads)
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Abstract: An effective mathematical method of new knowledge obtaining on the structure of complex objects with
required properties is developed. The method comprehensively takes into account information on the properties
and relations of primary objects, composing the complex objects. It is based on measurement of distances
between the predicate groups with some interpretation of them. The optimal measure for measurement of these
distances with the maximal discernibleness of different groups of predicates is constructed. The method is tested
on solution of the problem of obtaining of new compound with electro-optical properties.
Keywords: New knowledge, Predicates, Complex objects, Primary objects, Maximal discernibleness.
ACM Classification Keywords: I.2.4 Artificial Intelligence: knowledge representation formalisms and methods.
Link:
NEW KNOWLEDGE OBTAINING IN STRUCTURAL-PREDICATE MODELS OF KNOWLEDGE
Valeriy Koval, Yuriy Kuk
http://www.foibg.com/ijita/vol12/ijita12-1-p10.pdf
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A MATHEMATICAL APPARATUS FOR ONTOLOGY SIMULATION. SPECIALIZED EXTENSIONS OF ...
By: Alexander Kleshchev, Irene Artemjeva
(3961 reads)
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Abstract: A mathematical apparatus for domain ontology simulation is described in the series of articles. This
article is the second one of the series. It describes a few specialized extensions of the extendable languages of
applied logic that was described in the first article of the series. A few examples of some ideas related to domain
ontologies and formalization of these ideas using the language are presented.
Keywords: Extendable language of applied logic, ontology language specification, specialized extensions of the
extendable language of applied logic.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, F4.1. Mathematical Logic
Link:
A MATHEMATICAL APPARATUS FOR ONTOLOGY SIMULATION. SPECIALIZED EXTENSIONS OF THE EXTENDABLE LANGUAGE OF APPLIED LOGIC1
Alexander Kleshchev, Irene Artemjeva
http://www.foibg.com/ijita/vol12/ijita12-3-p10.pdf
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A MATHEMATICAL APPARATUS FOR DOMAIN ONTOLOGY SIMULATION. AN EXTENDABLE ...
By: Alexander Kleshchev, Irene Artemjeva
(4784 reads)
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Abstract: A mathematical apparatus for domain ontology simulation will be described in the series of the articles.
This article is the first one of the series. The paper is devoted to means for representation of domain models and
domain ontology models, so here a logical language is used only as a means for formalizing ideas. The chief
requirement to such a language is that it must have such a semantic basis that would allow us to determine the
most exact approximation of a set of intended interpretation functions as often as possible. Another requirement
closely connected with the foregoing one is that the awkwardness of expressing ideas in such a language must
not considerably exceed the complexity of their expressing in natural language. There are two ways to meet
the requirements. The first one is to define and fix a wide semantic basis of the language. In this case the
semantic basis nonetheless can be insufficient for some applications of the language. Extending applications
of the language can lead from time to time to the necessity of further extending its semantic basis, i.e. to the necessity of defining new and new versions of the language. The second way is to make the kernel of the
language being as nearer to the semantic basis of the classical language as possible and to allow us to make
necessary extensions of the kernel for particular applications. In this article the second way is used to define the
extendable language of applied logic. The goal of this article is to define the kernel of the extendable language of
applied logic and its standard extension. The standard extension of the language defines elements of the
semantic basis that are supposed to be useful practically in all the applications.
Keywords: Extendable language of applied logic, ontology language specification, kernel of extendable language
of applied logic, the standard extension of the language of applied logic.
ACM Classification Keywords :I.2.4 Knowledge Representation Formalisms and Methods, F4.1. Mathematical
Logic
Link:
A MATHEMATICAL APPARATUS FOR DOMAIN ONTOLOGY SIMULATION. AN EXTENDABLE LANGUAGE OF APPLIED LOGIC1
Alexander Kleshchev, Irene Artemjeva
http://www.foibg.com/ijita/vol12/ijita12-2-p07.pdf
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A MATHEMATICAL APPARATUS FOR DOMAIN ONTOLOGY SIMULATION. LOGICAL ...
By: Alexander Kleshchev, Irene Artemjeva
(3853 reads)
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Abstract: A mathematical apparatus for domain ontology simulation will be described in the series of the articles
The goal of this article is to define unenriched and enriched logical relationship systems that can be considered
as mathematical models for domain ontologies. The extendable language of applied logic described in the
previous articles of the series is used as the language of representation of these systems.
Keywords: Extendable language of applied logic, ontology language specification, kernel of extendable language
of applied logic, unenriched logical relationship systems, enriched logical relationship systems, enrichment of
logical relationship system.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, F4.1. Mathematical Logic
Link:
A MATHEMATICAL APPARATUS FOR DOMAIN ONTOLOGY SIMULATION. LOGICAL RELATIONSHIP SYSTEMS1
Alexander Kleshchev, Irene Artemjeva
http://www.foibg.com/ijita/vol12/ijita12-4-p07.pdf
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DOMAINS WITH COMPLICATED STRUCTURES AND THEIR ONTOLOGIES1
By: Irene Artemieva
(4176 reads)
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Abstract: The article defines the class of domains with complicated structures, gives the definition of multilevel
ontologies and determines the method for developing such ontologies.
Keywords: Domains with complicated structures, multilevel ontologies
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods, F4.1. Mathematical Logic
Link:
DOMAINS WITH COMPLICATED STRUCTURES AND THEIR ONTOLOGIES1
Irene Artemieva
http://www.foibg.com/ijita/vol15/ijita15-4-p04.pdf
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KNOWLEDGE-BASED ROBOT CONTROL
By: Agris Nikitenko
(4233 reads)
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Abstract: The paper is related with the problem of developing autonomous intelligent robots for complex
environments. In details it outlines a knowledge-based robot control architecture that combines several
techniques in order to supply an ability to adapt and act autonomously in complex environments. The described
architecture has been implemented as a robotic system that demonstrates its operation in dynamic environment.
Although the robotic system demonstrates a certain level of autonomy, the experiments show that there are
situation, in which the developed base architecture should be complemented with additional modules. The last
few chapters of the paper describe the experimentation results and the current state of further research towards
the developed architecture.
Keywords: Intelligent robots, autonomous intelligent systems, autonomous robots. Artificial intelligence.
ACM Keywords: I.2.4.J – Representations, I.2.6.A – Analogies, I.2.6.E – Induction, I.2.8.G – Plan execution,
formation, and generation, I.2.9.A – Autonomous Vehicles
Link:
KNOWLEDGE-BASED ROBOT CONTROL
Agris Nikitenko
http://www.foibg.com/ijita/vol15/ijita15-2-p05.pdf
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MULTIALGEBRAIC SYSTEMS IN INFORMATION GRANULATION
By: Kagramanyan et al.
(4771 reads)
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Abstract: In different fields a conception of granules is applied both as a group of elements defined by internal
properties and as something inseparable whole reflecting external properties. Granular computing may be
interpreted in terms of abstraction, generalization, clustering, levels of abstraction, levels of detail, and so on. We
have proposed to use multialgebraic systems as a mathematical tool for synthesis and analysis of granules and
granule structures. The theorem of necessary and sufficient conditions for multialgebraic systems existence has
been proved.
Keywords: granular computing, multirelations, multioperations.
ACM Classification Keywords: I.2.4 Knowledge representation formalisms and methods: relation systems.
Link:
MULTIALGEBRAIC SYSTEMS IN INFORMATION GRANULATION
Alexander Kagramanyan, Vladimir Mashtalir, Vladislav Shlyakhov
http://www.foibg.com/ijita/vol15/ijita15-1-p09.pdf
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SELFSTRUCTURIZED SYSTEMS
By: Gladun et al.
(3974 reads)
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Abstract: The problems of constructing the selfsrtucturized systems of memory of intelligence information
processing tools, allowing formation of associative links in the memory, hierarchical organization and
classification, generating concepts in the process of the information input, are discussed. The principles and
methods for realization of selfstructurized systems on basis of hierarchic network structures of some special class
– growing pyramidal network are studied. The algorithms for building, learning and recognition on basis of such
type network structures are proposed. The examples of practical application are demonstrated.
Keywords: knowledge discovery, classification, prediction, growing pyramidal networks, concept formation.
ACM Classification Keywords: I.2.4 Knowledge Representation Formalisms and Methods - Semantic networks,
F.1.1 Models of Computation - Self-modifying machines (e.g., neural networks)
Link:
SELFSTRUCTURIZED SYSTEMS
Victor Gladun, Vitalii Velychko, Yurii Ivaskiv
http://www.foibg.com/ijita/vol15/ijita15-1-p01.pdf
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OPERATING MODEL OF KNOWLEDGE QUANTUM ENGINEERING ...
By: Liudmyla Molodykh, Igor Sirodzha
(3854 reads)
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Abstract: The operating model of knowledge quantum engineering for identification and prognostic decisionmaking
in conditions of α-indeterminacy is suggested in the article. The synthesized operating model solves three
basic tasks: Аt-task to formalize tk-knowledge; Вt-task to recognize (identify) objects according to observed
results; Сt-task to extrapolate (prognosticate) the observed results. Operating derivation of identification and
prognostic decisions using authentic different-level algorithmic knowledge quantum (using tRAKZ-method)
assumes synthesis of authentic knowledge quantum database (BtkZ) using induction operator as a system of
implicative laws, and then using deduction operator according to the observed tk-knowledge and BtkZ a
derivation of identification or prognostic decisions in a form of new tk-knowledge.
Keywords: operating model, decision-making object, knowledge quantum database, target feature, method of
different-level algorithmic knowledge quantum, implicative law.
ACM Classification Keywords: I.2.3 Deduction and Theorem Proving; I.2.4 Knowledge Representation
Formalisms and Methods; I.2.5 Programming Languages and Software
Link:
OPERATING MODEL OF KNOWLEDGE QUANTUM ENGINEERING FOR DECISION-MAKING IN CONDITIONS OF INDETERMINACY
Liudmyla Molodykh, Igor Sirodzha
http://www.foibg.com/ijita/vol14/ijita14-1-p11.pdf
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ON THE COHERENCE BETWEEN PROBABILITY AND POSSIBILITY MEASURES1
By: Castineira et al.
(3723 reads)
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Abstract: The purpose of this paper is to study possibility and probability measures in continuous universes,
taking different line to the one proposed and dealt with by other authors. We study the coherence between the
probability measure and the possibility measure determined by a function that is both a possibility density and
distribution function. For this purpose, we first examine functions that satisfy this condition and then we anlyze the
coherence in some notable probability distributions cases.
Keywords: Measure, possibility, probability.
ACM Classification Keywords: I.2.3 Artificial Intelligence: Deduction and Theorem Proving (Uncertainty, “fuzzy”
and probabilistic reasoning); I.2.4 Artificial Intelligence: Knowledge Representation Formalisms and Methods
(Predicate logic, Representation languages).
Link:
ON THE COHERENCE BETWEEN PROBABILITY AND POSSIBILITY MEASURES1
Elena Castineira, Susana Cubillo, Enric Trillas
http://www.foibg.com/ijita/vol14/ijita14-4-p01.pdf
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THE DEVELOPMENT OF PARALLEL RESOLUTION ALGORITHMS USING THE GRAPH REPRESENTATION
By: Andrey Averin, Vadim Vagin
(3598 reads)
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Abstract. The parallel resolution procedures based on graph structures method are presented. OR-, AND- and
DCDP- parallel inference on connection graph representation is explored and modifications to these algorithms
using heuristic estimation are proposed. The principles for designing these heuristic functions are thoroughly
discussed. The colored clause graphs resolution principle is presented. The comparison of efficiency (on the
Steamroller problem) is carried out and the results are presented. The parallel unification algorithm used in the
parallel inference procedure is briefly outlined in the final part of the paper.
Keywords: Automated Reasoning, Logical inference
ACM Classification Keywords: I.2.3 Artificial Intelligence: Deduction and Theorem Proving
Link:
THE DEVELOPMENT OF PARALLEL RESOLUTION ALGORITHMS USING THE GRAPH REPRESENTATION
Andrey Averin, Vadim Vagin
http://www.foibg.com/ijita/vol13/ijita13-3-p10.pdf
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A METHOD OF ESTIMATING USABILITY OF A USER INTERFACE BASED ON ITS MODEL
By: Valeriya Gribova
(4294 reads)
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Abstract. The article presents a new method to estimating usability of a user interface based on its model. The
principal features of the method are: creation of an expandable knowledge base of usability defects, detection
defects based on the interface model, within the design phase, and information to the developer not only about
existence of defects but also advice on their elimination.
Keywords: Ontology, defects, interface model, user interface development
ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming
Link:
A METHOD OF ESTIMATING USABILITY OF A USER INTERFACE BASED ON ITS MODEL
Valeriya Gribova
http://www.foibg.com/ijita/vol14/ijita14-1-p06.pdf
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DIALOG BASED ON GRAPHICAL STATIC SCENES MANAGED BY AN ONTOLOGY
By: Valeriya Gribova
(3701 reads)
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Abstract. A new method to implementation of dialog based on graphical static scenes using an ontology-based
approach to user interface development is proposed. The main idea of the approach is to form necessary to the
user interface development and implementation information using ontologies and then based on this high-level
specification to generate the user interface.
Keywords: Ontology, interface model, user interface development
ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming
Link:
DIALOG BASED ON GRAPHICAL STATIC SCENES MANAGED BY AN ONTOLOGY
Valeriya Gribova
http://www.foibg.com/ijita/vol13/ijita13-4-p04.pdf
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A METHOD OF CONTEXT-SENSITIVE HELP GENERATION USING A TASK PROJECT1
By: Valeriya Gribova
(3323 reads)
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Abstract. The article presents a new method to automatic generation of help in software. Help generation is
realized in the framework of the tool for development and automatic generation of user interfaces based on
ontologies. The principal features of the approach are: support for context-sensitive help, automatic generation of
help using a task project and an expandable system of help generation.
Keywords: Ontology, task model, context-sensitive help, user interface development
ACM Classification Keywords: I.2.2 Artificial intelligence: automatic programming
Link:
A METHOD OF CONTEXT-SENSITIVE HELP GENERATION USING A TASK PROJECT1
Valeriya Gribova
http://www.foibg.com/ijita/vol15/ijita15-4-p14.pdf
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OF LEARNING INTEGRATED EXPERT SYSTEMS IN THE EDUCATIONAL PROCESS
By: Galina Rybina, Victor Rybin
(3558 reads)
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Abstract: The main principles and experience of development of learning integrated expert systems based on
the third generation instrumental complex AT-TECHNOLOGY are considered.
Keywords: learning integrated expert systems, problem-oriented methodology, educational process.
ACM Classification Keywords: I.2..1 Artificial Intelligence: Applications and Expert Systems
Link:
OF LEARNING INTEGRATED EXPERT SYSTEMS IN THE EDUCATIONAL PROCESS
Galina Rybina, Victor Rybin
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-1-p07.pdf
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AN INTELLIGENT SYSTEM FOR INVESTIGATIONS AND PROVISION ...
By: Berman et al.
(4091 reads)
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Abstract: Methodology of computer-aided investigation and provision of safety for complex constructions and a
prototype of the intelligent applied system, which implements it, are considered. The methodology is determined
by the model of the object under scrutiny, by the structure and functions of investigation of safety as well as by a
set of research methods. The methods are based on the technologies of object-oriented databases, expert
systems and on the mathematical modeling. The intelligent system’s prototype represents component software,
which provides for support of decision making in the process of safety investigations and investigation of the
cause of failure. Support of decision making is executed by analogy, by determined search for the precedents
(cases) with respect to predicted (on the stage of design) and observed (on the stage of exploitation) parameters
of the damage, destruction and malfunction of a complex hazardous construction.
Keywords: computer-aided investigations, intelligent system, technical state, safety, construction, malfunction,
failure, case-based reasoning.
ACM Classification Keywords: I.2.1 Applications and Expert Systems: Medicine and science, Industrial
Automation
Link:
AN INTELLIGENT SYSTEM FOR INVESTIGATIONS AND PROVISION OF SAFETY FOR COMPLEX CONSTRUCTIONS
Alexander Berman, Olga Nikolaychuk, Alexander Yurin, Alexander Pavlov
http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-3-p03.pdf
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SELF-ORGANIZATION OF FUNCTIONING PROCESS OF EXPERT SYSTEM WITH
By: Elena Netavskaya
(3462 reads)
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Annotation: Optimization of design, creation, functioning and accompaniment processes of expert system is the
important problem of artificial intelligence theory and decisions making methods techniques. In this paper the
approach to its solving with the use of technology, being based on methodology of systems analysis, ontology of
subject domain, principles and methods of self-organisation, is offered. The aspects of such approach realization,
being based on construction of accordance between the ontology hierarchical structure and sequence of
questions in automated systems for examination, are expounded.
Keywords: Expert systems, ontology, self-organisation
ACM Classification Keywords: I.2.1. Application and Expert Systems
Link:
SELF-ORGANIZATION OF FUNCTIONING PROCESS OF EXPERT SYSTEM WITH THE USE OF SUBJECT DOMAIN ONTOLOGY
Elena Netavskaya
http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-3-p05.pdf
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INSTANTANEOUS DATABASE ACCESS
By: Francis et al.
(4236 reads)
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Abstract: The biggest threat to any business is a lack of timely and accurate information. Without all the facts,
businesses are pressured to make critical decisions and assess risks and opportunities based largely on
guesswork, sometimes resulting in financial losses and missed opportunities. The meteoric rise of Databases
(DB) appears to confirm the adage that “information is power”, but the stark reality is that information is useless if
one has no way to find what one needs to know. It is more accurate perhaps to state that, “the ability to find
information is power”. In this paper we show how Instantaneous Database Access System (IDAS) can make a
crucial difference by pulling data together and allowing users to summarise information quickly from all areas of a
business organisation.
Keywords: data mining, natural language, parsing, SQL-query and production rules
ACM Classification Keywords: I.2.1 Application and Expert Systems – Natural language interface
Link:
INSTANTANEOUS DATABASE ACCESS
Guy Francis, Mark Lishman, Vladimir Lovitskii, Michael Thrasher, David Traynor
http://www.foibg.com/ijita/vol14/ijita14-2-p09.pdf
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