Pembangunan repositori warisan budaya berasaskan ontologi

Malaysia adalah sebuah negara yang kaya dengan warisan budaya tradisional. Ini dapat dilihat daripada pelbagai amalan dan cara hidup masyarakatnya. Namun begitu, warisan budaya tradisional Malaysia semakin lenyap ditelan arus pemodenan. Maklumat berkaitan dengan warisan budaya boleh diperoleh dari pelbagai sumber dan lokasi, namun pengurusan maklumat yang tidak cekap menyebab maklumat tidak tekal dan menyukar proses pencariannya. Sebuah repositori warisan budaya dibangun bagi mengatasi masalah ini. Repositori tersebut dibangun berasaskan ontologi bagi memboleh pencarian dan perwakilan pengetahuan secara semantik. Ontologi ini dibangun berdasarkan objek ketara yang didaftar sebagai objek warisan kebangsaan di Jabatan Warisan Negara (JWN). Maklumat tambahan turut dikumpul dari pelbagai sumber termasuk Perpustakaan Negara, Muzium Negara, buku sejarah, jurnal, artikel dan rujukan dalam talian. Kategori bagi setiap objek warisan budaya dikelas mengguna pendekatan middle-out. Sebuah prototaip sistem capaian maklumat warisan budaya dibangun bagi menguji keberkesanan pengurusan dan capaian maklumat repositori warisan budaya. Pengujian ke atas prototaip sistem tersebut mendapati penggunaan ontologi bagi mengurus maklumat dalam repositori warisan budaya meningkat kualiti carian maklumat warisan tidak ketara. Repositori Warisan budaya ini boleh diperluas sebagai hab utama pengurusan dan capaian maklumat warisan budaya kebangsaan

Performance Analysis on Text Steganalysis Method Using A Computational Intelligence Approach

In this paper, a critical view of the utilization ofcomputational intelligence approach from the text steganalysisperspective is presented. This paper proposes a formalization ofgenetic algorithm method in order to detect hidden message on ananalyzed text. Five metric parameters such as running time, fitnessvalue, average mean probability, variance probability, and standarddeviation probability were used to measure the detection performancebetween statistical methods and genetic algorithm methods.Experiments conducted using both methods showed that geneticalgorithm method performs much better than statistical method,especially in detecting short analyzed texts. Thus, the findings showedthat the genetic algorithm method on analyzed stego text is verypromising. For future work, several significant factors such as datasetenvironment, searching process and types of fitness values throughother intelligent methods of computational intelligence should beinvestigated

THE DEVELOPMENT OF CULTURAL HERITAGE REPOSITORY BASED ON ONTOLOGY

Malaysia is known for its traditional cultural heritage. This is reflected from a diverge range of practices and ways of life of its people. Nevertheless, the traditional cultural heritage has been gradually forgotten overtime. The information related to traditional cultural heritage can be obtained from various sources and locations but is inconsistent thus resulting in information seeking difficulties. A repository of cultural heritage was constructed to overcome the problem. The repository was built based on ontology which enable semantic knowledge representation and searching. The ontology consists of tangible objects that are listed as national heritage objects by the National Heritage Department (JWN). Additional information is also collected from various sources, including the National Library, the National Museum, the history books, articles and online references. Classes for each object was identified using middle-out approach. An information retrieval system prototype was constructed to test the effectiveness of information management and access. The evaluation of the prototype shows that the ontology has improved the information management and information searching of tangible heritage. This cultural heritage repository could be extended as a main hub of national cultural heritage management and access