The Relationship Networks Project (RR - Redes de Relacionamento) is an innovative project, which intends to create a framework, which allows - through a fast data modeling - implementing interface elements that describe in a clearly visual way, in two-dimensional presentation, a relationship network among heterogeneous items. This environment also allows the machine to do operations over these relations, such as to find paths or sets, to help the implementation of AI algorithms, or data extraction by the final user. Through graph theory, with visual items, it is possible to find elements with specific characteristics and relationships between them, by the application of filters, refining searches inside an extreme large datasets, or showing differentiated connection maps. Two prototypes were created with this framework: A system which allows seeing telephonic calls sets and financial transactions, and a system for ontology viewing for a digital dictionary inside a semantic network. Another software, in prototypical phase, also for semantic network vision, is being constructed. This document will present the basic RR structure, showing and justifying the creation of the two referred software above.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI

Bortolon, Andre

Hoeschl, Hugo Cesar

Pacheco, Everton

Stradiotto, César

English

El Servicio de Difusión de la Creación Intelectual

  
The RR Project – A Framework for 
Relationship Network Viewing and 
Management 
César Stradiotto1,  Everton Pacheco1,  Andre Bortolon1, Hugo Hoeschl2 
1 WBSA Sistemas Inteligentes SA, Parque Tecnológico Alfa, Centro de 
Tecnologia IlhaSoft , SC 401 Km 1 - Módulo 10 - Térreo B - João Paulo - 
88030-000 - Florianópolis, SC – Brasil 
{cesar,evertonpp,bortolon, hugo}@wbsa.com.br 
WWW home page: http://www.wbsa.com.br 
2 Instituto de Governo Eletrônico, Inteligência Jurídica e Sistemas – 
IJURIS, Rua Lauro Linhares, 728 – sala 105 – Trindade - 88036-0002 - 
Florianópolis – SC – Brasil 
WWW home page: http://www.ijuris.org 
 
Abstract.The Relationship Networks Project (RR - Redes de Relacionamento) 
is an innovative project, which intends to create a framework, which allows - 
through a fast data modeling - implementing interface elements that describe 
in a clearly visual way, in two-dimensional presentation, a relationship 
network among heterogeneous items. This environment also allows the 
machine to do operations over these relations, such as to find paths or sets, to 
help the implementation of AI algorithms, or data extraction by the final user. 
Through graph theory, with visual items, it is possible to find elements with 
specific characteristics and relationships between them, by the application of 
filters, refining searches inside an extreme large datasets, or showing 
differentiated connection maps. Two prototypes were created with this 
framework: A system which allows seeing telephonic calls sets and financial 
transactions, and a system for ontology viewing for a digital dictionary inside 
a semantic network. Another software, in prototypical phase, also for semantic 
network vision, is being constructed. This document will present the basic RR 
structure, showing and justifying the creation of the two referred software 
above. 
 
Introduction 
 
Recent studies have directed its focus statistical properties of networked systems, 
like Internet or social networks. By Girvan [1] researchers have concentrated 
particularly on some common properties to many types of networks: the small world 
property, distribution degrees following potential functions, network transitivity, and 
one more property: the community structure, where the net nodes are grouped 
closely, and between these groups, there are some weak connections. 
Jumping from mathematics to biology and linguistics, Barabasi [2] says that 
researches on networked systems also include items such protein actuation over 
some types of cells, ecosystems and supply chain, energy transmission and transport 
nets, human language, among others. 
César Stradiotto, et. al. 2 
Problems involving data relationship networks occurs with high frequency, needing 
media through which it can be possible the clear vision over these data. Together 
with that, data and relation types between them vary largely, depending on the 
problem scope. 
In this way, software that could describe some type of data, inside a determined 
scope, could not fit for another type of problem, or it had to suffer some 
modifications to adequate to the new problem. 
The Relationship Network Project (or in Portuguese: RR - Redes de 
Relacionamento) intends to allow the software project manager to implement in fast 
way a software that make two-dimensional demonstration of heterogeneous data, 
related by vertex and edges, including edition and analysis, and Artificial 
Intelligence tools. 
In the following document it will be described two case studies involving the use of 
the same environment of RR project: 1) Vision and edition of telephone calls and 
money transferring, and 2) Vision of ontology dictionaries from a semantic network. 
 
1 Environment Basic Structure 
 
1.1 Structure 
 
 Viewing / Edition
Specific Data
Manager Class 
DB Files
Proprietary 
Files 
 
 
Fig. 1. Environment Basic Structure 
 
The environment basic structure (Fig. 1) is composed by five modules: Management, 
Data Reading, Viewing / Edition, Specific Data, and Data Writing. Such structure 
The RR Project – A Framework for Relationship Network Viewing and 
Management 
3 
allows maintaining the independent programming between these modules; in such a 
way that makes easy the implementation work to achieve the new entered data types. 
 
Managing Module It’s the module that contains the menus, which allows the user to 
execute the system main activities. Also contains rules that will be used by the 
Viewing / edition module, and filters, which can be applied to the working data. 
In this module it’s possible to choose the picture to represent the data from its type, 
or to execute filtering and require data reading or writing. Here are implemented also 
the Artificial Intelligence and Graph Theory algorithms, responsible by the 
automatic processing of the information about to be analyzed. 
 
Data Reading Module Does the inclusion of data inside the system, be it originated 
on databases, electronic datasheet, proprietary files or formatted text. It does exist 
just to make compatible data from different natures, to be shown inside the viewing 
system as a linked network. 
 
Viewing / Edition Module Responsible for showing the connected data to the final 
user, allowing its edition, navigation, and responsible for showing analysis results. 
This module is present inside any application for network data viewing developed 
over the RR environment. 
 
Specific Data Module Contains the application specific data. And such application 
is built over the RR framework. 
 
Data Writing Module Responsible for managing data persistence, in a proprietary 
format for the implemented application, or in a specific format, depending on the 
client’s demand, allowing data compatibility with another framework or software. 
 
1.2 Used technologies  
 
The framework is done over Windows platform, with Borland C++ Builder IDE. The 
communication with databases is done via ODBC. Visual Data are stored in 
proprietary format. 
 
César Stradiotto, et. al. 4 
2 Interface 
 
The interfaced is based on MDI (Multiple Document Interface). So it allows many 
visual instances from many data groups (Fig. 2). 
 
 
Fig. 2. MDI Application sample made with the RR framework. 
 
3 Case Studies 
 
3.1 Telephone calls and financial transactions networks management 
 
Telephony case 
 
Accordingly Siqueira [3] the numbers of telephone calls inside Brazil have raised 
600% between 1994 and the beginning of 2002, starting from 103 million calls a day 
to 715 million. In that time the country had 70 million telephonic accesses, being 40 
million made by common telephones, against 30 million cellular. Each of these 
generating a mean number of 10 calls a day. In the same time, the number of Internet 
users jumped from 200 thousand to 14 million users, including voice, data and image 
traffic services. 
Dias [4] says that in November of 2003, the numbers of cellular telephones was 43 
million, and the number of common telephones was estimated to be about 39,4 
million units. A good number of these calls made a network of illegal or criminal 
acts, being necessary its tracking under judicial orders for investigation and analysis. 
In this group are included common telephones, cellular telephones with voice and 
textual calls, modem’s with Internet access, fax, and email messages, among others. 
Lobato [5] quotes the existence of 10 thousand judicial processes and queries 
involving fraudulent acts made by cellular and standing telephony in Brazil. These 
including public telephone cable deviation, cellular cloning, cold fiscal notes for 
stolen cellular telephone habilitation, and clandestine telephonic interception. 
The RR Project – A Framework for Relationship Network Viewing and 
Management 
5 
 
 
Financial Cases 
 
Correspondingly the news agency IDG NOW [6] "Trojan attacks, virtual 
mechanisms that induce users to give personal information like passwords or bank 
data, raised 1184% in Brazil, between July and December last year... In the same 
time interval, the mean rate of attacks in another countries raised 293%." 
Filho [7] affirms that money losses from Brazil to foreign countries through CC5 
type cash accounts stands by US$ 40 billion, due to law features, which allows such 
money transferring by secret ways, and without the payment of corresponding taxes 
to Brazilian Central Bank. 
Mcdowell [8] enumerate some damage suffered by governments and enterprises, due 
to money-washing processes. Some quoted damages are:  
 
• Exposition of emergent markets, where money-washing groups invests their 
money on properties or companies, creating monopolies or breaking that 
countries / companies taking back the invested money, without any accordance. 
Such behavior also damages the invested company public image;  
 
• Creation of apparent companies, which can practice prices lower than that 
practiced on the local market, breaking concurrent industries; 
 
 
Fig.3. System for telephone calls data analysis. 
 
César Stradiotto, et. al. 6 
Observing the necessity of a tool to help investigators that works on problems like 
the ones described above, the RR framework was created initially as a basic module 
for a software able to make analysis of telephonic calls datasets [9] (Fig.3), being a 
graphic tool that clearly shows the worked data, able to give relevant information, 
even when the data is first viewed. This tool has filtering resources, edition modes, 
storage and data recovery, telephonic calls pathfinder and report generation. After 
that, the system was evolved for load, analysis and persistence also of financial 
transaction data (Fig.4). 
 
 
Fig. 4: Screen taken from the software for telephone calls and financial transactions analysis. 
 
The system enables juridical area professionals, from police intelligence, security, 
and financial government organs, to track and store telephone calls by a totally 
automated and confidential way, without any human intervention inside this process. 
In this way the systems avoid totally the possibilities of fraud or human errors during 
the process of catching and storing calls, keeping the integrity and secrecy of 
investigative operations. 
Following Mendroni [10] “... investigations made before prosecution acts may be 
necessarily secrets. If not, the investigation is frustrated by its beginning. For the 
same reason that a criminal does its illegal acts and does not reveal it to the 
competent authorities, these ones not only can, but have to investigate him - by 
obligation of its functions - ... without show its contents, until it can group enough 
data to made a convincement, and after all that, take the adequate decisions about 
that crime.” 
 
The RR Project – A Framework for Relationship Network Viewing and 
Management 
7 
 
3.2  Vision of semantic networks 
 
 
Fig. 5. Exemplo de ferramenta para visão de redes de ontologias. 
 
The number of applications involving knowledge representation has increased more 
and more at last times, and many models used to implement these applications do 
these representations through semantic networks [14,15,16,17,18]. Such systems also 
need edition tools used by the responsible professional that takes care of these 
semantic nets. 
Cawsey [19] affirms that a semantic network is a relationship network, where the 
nodes inside the graph represent concepts, and the edges represents binary relations 
between these concepts. 
The RR framework goes inside there like a tool for viewing relationships, hierarchies 
and rules inside a semantic net production environment. A sample environment to 
produce ontologies is described on  Bueno[20]. The first used prototype (Fig.5) was 
a case for edition of rules and relations for the ontology dictionary inside KMAI 
project [21]. The RR framework allows a clear visual disposal of the net, and 
inclusion of concepts and relations between them, all of these represented by vertex 
and edges. 
César Stradiotto, et. al. 8 
4 Conclusions 
 
The RR framework fits initially for software that serves as a telephonic call analysis 
tool, causing a sensible impact in the way these types of data were analyzed, 
showing recently its first results. After that, the software evolved for a tool that can 
load and analyze data from financial transactions documents. 
It served also for viewing and analysis of relations between concepts inside a 
semantic network, by this way improving the creation and revision of ontologies 
inside a production model. 
By the fact that the RR framework is being used inside problems from so different 
domains, such fact shows its extreme versatility. Although these initial results, its 
applicability doesn’t finishes here. The environment shows itself generic enough to 
deal with data from diverse types, from networks structured over simple lists to 
multimedia inside the web. To do all this, it’s enough to have a protocol to feed de 
visual net inside the software that is done over the framework. 
 
Bibliography 
 
1. GIRVAN, Michelle.; Newman, M. E. J. Community structure in social and biological 
networks. Base de Dados arXiv.org – 07 dec. 2001. Disponível em: 
<http://arxiv.org/abs/cond-mat/0112110> página 2. Acesso em: 12 dez. 2003  
 
2. BARABÁSI, A. L.; BONABEAU, E. Scale-Free Networks. Scientific American, New 
York. v.1, 7 dec. 2001. Disponível em: <http://www.nd.edu/~networks/PDF/Scale-
Free%20Sci%20Amer%20May03.pdf>. p52. Acesso em: 14 Jan. 2004 - ISSN 0036-8733.  
 
3. SIQUEIRA, E. Brasil fala 600% mais que em 1994. 24 mar. 2002. O Estado de São Paulo. 
Disponível em: <http://txt.estado.com.br/colunistas/siqueira/2002/03/siqueira020324.html>. 
Acesso em: 12 dez. 2003  
 
4. DIAS, J. A. Telefonia Atrairá Investidor Externo. Folha de São Paulo. 11 jan. 2004. 
Caderno Folha Dinheiro. Disponível em: 
<http://www1.folha.uol.com.br/fsp/dinheiro/fi1101200410.htm>. Acesso em: 12 jan. 2004.  
 
5. LOBATO, E. Fraude Telefônica Fica Mais Sofisticada. 23 nov. 2003. Folha de São Paulo. 
Caderno Folha Cotidiano. Disponível em 
<http://www1.folha.uol.com.br/fsp/cotidian/ff2311200317.htm>. Acesso em: 30 nov. 2003.  
 
6. IDGNOW .Cavalos de Tróia crescem 1184% em 2004. 
http://idgnow.uol.com.br/AdPortalv5/SegurancaInterna.aspx?GUID=4D152F5C-4EB6-4884-
9AAE-E301FDFD74E$&ChannelID=21080105 IDG NOW \ SEGURANÇA \ NOTÍCIA 
Publicado em 2 fevereiro de 2005.  
 
 
7.  FILHO, A.G.P. As contas CC5 e as instituições financeiras internacionais. Portal de 
Contabilidade. 20 de janeiro de 2006. 
http://www.cosif.com.br/publica.asp?arquivo=20050407cc5ilegais Acessado em janeiro de 
2006. 
 
8.  MCDOWELL, J, NOVIS, G. As Conseqüências da Lavagem de Dinheiro e dos Crimes 
Financeiros. Perspectivas Econômicas, Maio de 2001 
http://usinfo.state.gov/journals/ites/0501/ijep/ie0502.htm Acessado em novembro de 2005. 
The RR Project – A Framework for Relationship Network Viewing and 
Management 
9 
 
9. STRADIOTTO, C. R. K.; BORTOLON, A.; HOESCHL, H. C.; MARAFON, M. J.. 
Ferramenta de Desenvolvimento de Software para Representação Visual de Redes de 
Relacionamento. In: CONGRESSO NACIONAL DE TECNOLOGIA DA INFORMAÇÃO E 
COMUNICAÇÃO, 2004. http://www.sucesu2005.com.br/palestras2004/24.html  Acessado 
em Janeiro de 2006 
 
10. MENDRONI, M. B. O Sigilo da Fase Pré-Processual. Revista Justitia, p1. São Paulo 
[2004] Disponível em: 
<http://www.mp.sp.gov.br/justitia/CRIMINAL/crime%2035.pdf>. Acesso em: jan. 2004.  
 
11. BARRETO, A. S.; BUENO, T. C. D.; HOESCHL, H. C. Applying Case Based Reasoning 
to Knowledge Representation of Tributary Decisions. In: THE 9th INTERNATIONAL 
CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, 2003, Edimburgh. 
Proceedings… New York: Association for Computer Machinery (ACM) – p. 77. ISBN 1-
58113-747-8.  
 
12. BUENO, T. C. D. et al. Using RBC to Classify Judicial Petitions on e-Court. In: THE 9th 
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, 2003, 
Edimburgh. Proceedings… New York: Association for Computer Machinery (ACM) – p83. 
ISBN 1-58113-747-8.  
 
13. COSTA, F.C.; BUENO, T.C.D.; RIBEIRO, E.B.Q. New Procedures for Environmental 
Licensing with Artificial Intelligence – CIPPLA. In: THE 9th INTERNATIONAL 
CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, 2003, Edimburgh. 
Proceedings… New York: Association for Computer Machinery (ACM) – p87. ISBN 1-
58113-747-8.  
 
14.  HOESCHL. H.C. et al. Dynamically Contextualized Knowledge Representation of the 
United Nations Security Council Resolutions. In: THE 9th INTERNATIONAL 
CONFERENCE ON ARTIFICIAL INTELLIGENCE AND LAW, 2003, Edimburgh. 
Proceedings… New York: Association for Computer Machinery (ACM) – p. 95. ISBN 1-
58113-747-8.  
 
15. HOESCHL. H.C. et al. Knowledge-Based System Applied on the Previous Consent of 
Brazilian National Defense Council. In: THE 9th INTERNATIONAL CONFERENCE ON 
ARTIFICIAL INTELLIGENCE AND LAW, 2003, Edimburgh. Proceedings… New York: 
Association for Computer Machinery (ACM) – p. 97. ISBN 1-58113-747-8.  
 
16. MATTOS, E.S. et al. A Knowledge Base for Automatic Capitulation in Expert System. In: 
THE 9th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND 
LAW, 2003, Edimburgh. Proceedings… New York: Association for Computer Machinery 
(ACM) – p. 99. ISBN 1-58113-747-8.  
 
17. RDF. Resource Description Framework. Disponível em: <http://www.w3.org/RDF/>. 
Acesso em: jan. 2004.  
 
18. XU, Z.; WU, J. A Survey Of Knowledge Base Grid For Traditional Chinese Medicine. In:  
THE FIFTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION 
SYSTEM, v. 4. Software Agents and Internet Computer, 2003, Angers. Proceedings… 
Setúbal: Escola Superior de Tecnologia de Setubal. p. 136. ISBN: 972-98816-1-8. Disponível 
em: < http://www.iceis.org>. Acesso em: 19 jan. 2004.  
 
César Stradiotto, et. al. 10 
19. CAWSEY, A. Semantic Nets. Disponível em: 
<http://www.cee.hw.ac.uk/~alison/ai3notes/subsection2_4_2_1.html>. Acesso em: jan. 2004.  
 
20. BUENO T. C. D et al. Knowledge Engineering Suite: a Tool to Create Ontologies for 
Automatic Knowledge Representation in Knowledge-based Systems. in: The 2nd International 
Workshop on Natural Language Understanding And Cognitive Science (NLUCS-2005) in 
ICEIS - 7th international  conference. Proceedings of 7th International Conference On 
Enterprise Information Systems. 2005. 
 
21. RIBEIRO, M. S. KMAI: da RC2D à PCE. 2003. 190f. Dissertação (Mestrado em 
Engenharia de Produção) – Universidade Federal de Santa Catarina, Florianópolis, 2003.  
 
 


The RR Project – a framework for relationship network viewing and management

http://sedici.unlp.edu.ar/bitstream/handle/10915/24193/Documento_completo.pdf?sequence=1

The RR Project – a framework for relationship network viewing and management

Abstract

Similar works

Full text

Available Versions

El Servicio de Difusión de la Creación Intelectual