Ontology-Based Crime News Semantic Retrieval System  

作　　者：Fiaz Majeed Afzaal Ahmad Muhammad Awais Hassan Muhammad Shafiq Jin-Ghoo Choi Habib Hamam 

机构地区：[1]Department of Information Technology,University of Gujrat,Gujrat,50700,Pakistan [2]Department of Computer Science,University of Engineering&Technology,Lahore,54890,Pakistan [3]Department of Information and Communication Engineering,Yeungnam University,Gyeongsan,38541,Korea [4]Faculty of Engineering,Uni de Moncton,Moncton,NB E1A3E9,Canada [5]International Institute of Technology and Management,Commune d’Akanda,BP,Libreville,1989,Gabon [6]School of Electrical Engineering,Department of Electrical and Electronic Engineering Science,University of Johannesburg,Johannesburg,2006,South Africa [7]Spectrum of Knowledge Production&Skills Development,Sfax,3027,Tunisia

出　　处：《Computers, Materials & Continua》2023年第10期601-614,共14页计算机、材料和连续体（英文）

摘　　要：Every day,the media reports tons of crimes that are considered by a large number of users and accumulate on a regular basis.Crime news exists on the Internet in unstructured formats such as books,websites,documents,and journals.From such homogeneous data,it is very challenging to extract relevant information which is a time-consuming and critical task for the public and law enforcement agencies.Keyword-based Information Retrieval(IR)systems rely on statistics to retrieve results,making it difficult to obtain relevant results.They are unable to understandthe user’s query and thus facewordmismatchesdue to context changes andthe inevitable semanticsof a given word.Therefore,such datasets need to be organized in a structured configuration,with the goal of efficiently manipulating the data while respecting the semantics of the data.An ontological semantic IR systemis needed that can find the right investigative information and find important clues to solve criminal cases.The semantic system retrieves information in view of the similarity of the semantics among indexed data and user queries.In this paper,we develop anontology-based semantic IRsystemthat leverages the latest semantic technologies including resource description framework(RDF),semantic protocol and RDF query language(SPARQL),semantic web rule language(SWRL),and web ontology language(OWL).We have conducted two experiments.In the first experiment,we implemented a keyword-based textual IR systemusing Apache Lucene.In the second experiment,we implemented a semantic systemthat uses ontology to store the data and retrieve precise results with high accuracy using SPARQL queries.The keyword-based system has filtered results with 51%accuracy,while the semantic system has filtered results with 95%accuracy,leading to significant improvements in the field and opening up new horizons for researchers.

关 键 词：Web 3.0 crime ontology semantic web knowledge representation 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]