Identification of expert to domain knowledge in any field of interest is essential for consulting in industry, academia and scientific community. The objective of this study is to address the expert-finding task in contemporary communities. We proposed Multifaceted Web Mining Architecture (MfWMA) and implemented a tool with data extracted from Growbag, dblpXML and web authors home page resource to identify personnel with specific expertise. We mined two thousand and five hundred author's personal web pages with the underlying criteria of a dozen of key parameters; while parsing on each page in pursuit of 8 thousand topics. This study corroborate this quantification in terms of a measure of expertise. The prototype provides its users to distinguish the level of expertise in a particular area; thus resulting in the capability to mark people with broader expertise. Through this extension to the web enabling technique, we have demonstrated that the proposed architecture presents a novel web mining approximation with realistic results.
목차
Abstract 1. Introduction 2. Related Work 3. Problem Statement 4. Web Mining for Expert Discovery 5. Proposed Methodology 6. Experimental validation 7. Experimental Evaluation 8. Conclusions & Future Work References
키워드
Text miningmultifacetedhigh profileexpertise findinginformation seeking
저자
Muhammad Naeem [ Department of Computer Science, Mohammad Ali Jinnah University Islamabad, Pakistan ]
Saira Gillani [ Centre of Research in Networks & Telecom, Mohammad Ali Jinnah University University Islamabad, Pakistan ]
Sheneela Naz [ Centre of Research in Networks & Telecom, Mohammad Ali Jinnah University University Islamabad, Pakistan ]
보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Advanced Science and Technology
간기
월간
pISSN
2005-4238
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.52