52 Slices
Medium 9781601322517

Tackling Financial and Economic Crime through Strategic Intelligence: The EMPRISES Framework

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, Joan Lu, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

114

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

Tackling Financial and Economic Crime through Strategic Intelligence: The

EMPRISES Framework

Simon Andrews, Simon Polovina, Simeon

Yates, Babak Akhgar

C3RI, Sheffield Hallam University, UK

{S.Andrews, S.Polovina, S.Yates, B.Akhgar}

@shu.ac.uk

Abstract—For the successful monitoring and combatting of Serious Organised Economic Crime

(SOEC) and fraud, further integration of Member

States systems across Europe is needed. This paper describes a system for strategic intelligence management providing a more coherent and coordinated approach for detecting and deterring

SOEC and fraud. The EMPRISES framework increases the effectiveness of communication between

Member States by developing an agreed common language (taxonomy) of SOEC and fraud with automated multi-lingual support. By appropriating and applying existing business tools and analysis techniques to the illegitimate businesses of SOEC and fraud, this new system can support Member States to better target these crimes and the criminals involved.

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Medium 9781601322517

Query Expansion using Association Matrix for Improved Information Retrieval Performance

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, Joan Lu, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

211

Query Expansion using Association Matrix for Improved

Information Retrieval Performance

Jedsada Chartree1 , Ebru Celikel Cankaya2 , and Santi Phithakkitnukoon3

1 Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, USA

2 Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA

3 Computing Department, The Open University, Milton Keynes, United Kingdom

Abstract— We propose a novel query expansion technique that employs association matrix to solve the problem of false positives: retrieving irrelevant documents, while missing actually required documents in a typical search engine environment. We present underlying infrastructure of our design, together with comparisons with existing query expansion algorithms and University of North Texas (UNT) Google search engine. Our results yield 14.3% improved Information

Retrieval (IR) performance with more effective and precise retrievals than a conventional (non-expanded) search engine.

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Medium 9781601322517

Visualization Tools for Results of Entity Resolution

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, Joan Lu, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

87

Visualization Tools for Results of Entity Resolution

1

Cheng Chen1, Mahmood Mohammed1, and John R. Talburt1

Information Science Department, University of Arkansas at Little Rock, Little Rock, AR, USA

Abstract - This paper introduces methods for visualizing the results of Entity Resolution processes. They allow users to visualize the results from any resolution process. These tools will also help users to compare results from different rules-set in the process of Entity Resolution in Entity Identity

Information Management. This will facilitate finding false positive and false negative errors. These methods have been applied to the results produced by OYSTER, an open source entity resolution system.

Keywords: Entity Resolution, Entity Identity Information

Management, Visualization Tools, Information Visualization

1

Background

Entity Identity Information Management (EIIM) is a component of entity identity management (EIM) that utilizes data structures, data integration, and entity resolution (ER) methods and algorithms. EIIM aims at maintain entity identity integrity. Entity identity integrity requires that each entity in the domain should have one and only one representation in the system, which is called an identity. [1] Figure 1 shows a highlevel view of EIIM components and processes.

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Medium 9781601322517

Towards a Framework for Modelling and Reusing Medical Knowledge in South Africa

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, Joan Lu, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

167

Towards a Framework for Modelling and Reusing

Medical Knowledge in South Africa

1

Muhandji Kikunga and 2Obeten Ekabua

Department of Computer Science, North-West University, Mmabatho, Mafikeng, South Africa

{124088935, 2obeten.ekabua}@nwu.ac.za

Abstract - In today’s medical world, there is large amount of information and knowledge that need professionally This information includes patient’s medical history, diseases, diagnosis and treatment methods. However, the problem of making this medical knowledge and data sharable over applications and reusable for several purposes is a serious challenge. Though different computer technologies have emerged as leverage in the medical industries, most health institutions are yet to effectively utilize them to manage patients’ information and medical knowledge for fast decision making. In South Africa (SA) , there is a rapid development of medical institutions and services , which require effective exchange of patient’s medical histories and information. But information exchange among medical information systems is difficult and it can sometimes go against medical ethics of privacy and confidentiality. This poses a great challenge to health-care practitioners as they have to identify a common ground where relevant medical information can be utilized effectively at the right time. Thus, using uniform standards for medical information is indispensable. This paper, proposes a framework based on the possibility theory, including knowledge representation

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Medium 9781601322517

Relevance Feedback for Collaborative Retrieval Based on Semantic Annotations

Hamid R. Arabnia, Leonidas Deligiannidis, Ray Hashemi, Joan Lu, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

54

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

Relevance Feedback for Collaborative Retrieval Based on

Semantic Annotations

Fatiha NAOUAR*, Lobna HLAOUA*, Mohamed Nazih OMRI*

*MARS Unit of Research, Department of computer sciences

Faculty of sciences of Monastir, University of Monastir

Monastir, 5000, Tunisia

Abstract - A collaborative retrieval, based on the concept of sharing between users, is increasingly used to

assigning

facilitate the research and to satisfy the needs. In this

collaborative environment, the user still has many

context, we suggest to improve the performance of

problems to express his needs by the bad choice of

collaborative research, taking account of the

terms for his modest knowledge. It is in this context

annotations as a new source of information

that we suggest to improve the performance of

describing the documents. In our contribution, we

collaborative research using the relevance feedback

suggest to apply the relevance feedback to expand the

to expand the original query. This technique consists

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