Constructing an Office Domain Ontology using Knowledge Engineering Process

Knowledge based identification of human activities in systems depends primarily on rich contextual domain knowledge casing all of the information about the human, objects around human and also relations amongst them. Knowledge engineering plays an important role in building knowledge based expert systems, to solve complex problems such as human activity recognition. This requires formal representation of the knowledge which is based on the conceptualization of the domain. Ontology is awidely chosen representational model that depicts knowledge as a set of concepts. In this work, we have applied knowledge engineering process for constructingthe domain ontology of the officeenvironment in agreement with the ontology development life cycle

Learning and discovery in incremental knowledge acquisition

Knowledge Based Systems (KBS) have been actively investigated since the early period of AI. There are four common methods of building expert systems: modeling approaches, programming approaches, case-based approaches and machine-learning approaches. One particular technique is Ripple Down Rules (RDR) which may be classified as an incremental case-based approach. Knowledge needs to be acquired from experts in the context of individual cases viewed by them. In the RDR framework, the expert adds a new rule based on the context of an individual case. This task is simple and only affects the expert s workflow minimally. The rule added fixes an incorrect interpretation made by the KBS but with minimal impact on the KBS's previous correct performance. This provides incremental improvement. Despite these strengths of RDR, there are some limitations including rule redundancy, lack of intermediate features and lack of models. This thesis addresses these RDR limitations by applying automatic learning algorithms to reorganize the knowledge base, to learn intermediate features and possibly to discover domain models. The redundancy problem occurs because rules created in particular contexts which should have more general application. We address this limitation by reorganizing the knowledge base and removing redundant rules. Removal of redundant rules should also reduce the number of future knowledge acquisition sessions. Intermediate features improve modularity, because the expert can deal with features in groups rather than individually. In addition to the manual creation of intermediate features for RDR, we propose the automated discovery of intermediate features to speed up the knowledge acquisition process by generalizing existing rules. Finally, the Ripple Down Rules approach facilitates rapid knowledge acquisition as it can be initialized with a minimal ontology. Despite minimal modeling, we propose that a more developed knowledge model can be extracted from an existing RDR KBS. This may be useful in using RDR KBS for other applications. The most useful of these three developments was the automated discovery of intermediate features. This made a significant difference to the number of knowledge acquisition sessions required

SISTEM REKOMENDASI PENILAIAN RISIKO KEAMANAN INFORMASI INFRASTRUKTUR TI DENGAN METODE RULE-BASED REASONING DAN ISO 27002:2013

Rumah Sakit Umum Daerah Arifin Achmad Pekanbaru telah menerapkan TIK pada proses bisnisnya sehingga menimbulkan aspek yang harus diperhatikan mengenai ancaman keamanan informasi. Untuk mengetahui tingkat keamanan informasi pada RSUD Arifin Achmad perlu dilakukan penilaian risiko. Suatu standarisasi yang digunakan dalam proses penilaian risiko keamanan informasi adalah ISO 27002. Penilaian risiko dapat meminimalisir risiko serta meningkatkan efisiensi biaya penggunaan sumber daya TI dalam manajemen keamanan informasi serta memberikan solusi sebagai langkah preventif penanganan risiko keamanan informasi yang mungkin dan akan terjadi berdasarkan prosedur standar keamanan informasi ISO 27002. Penggunaan metode rule-based reasoning sebagai pendukung pengambilan solusi berdasarkan tingkat kematangan (maturity level) dari hasil assessment risiko keamanan informasi. Berdasarkan hasil penelitian yang telah dilakukan didapatkan maturity level keamanan informasi pada RSUD Arifin Achmad bernilai 3,31 (terdefinisi) yang artinya RSUD Arifin Achmad telah melaksanakan sistem manajemen keamanan informasi dengan kerangka kerja yang terdokumentasi namun penerapannya dalam tingkatan yang minimum. Implementasi yang dilakukan dengan membangun sistem rekomendasi penilaian risiko keamanan informasi dengan metode rule-based reasoning dan ISO 27002:2013 berhasil melakukan identifikasi risiko aset, dan assessment keamanan informasi dengan menghasilkan keluaran berupa maturity level dan rekomendasi dalam penerapan sistem manajemen keamanan informasi di RSUD Arifin Achmad. Kata Kunci: Assessment, ISO 27002, Maturity level, Rekomendasi, Sistem Manajemen Keamanan Informasi

Library websites popularity: does Facebook really matter?

The purpose of this paper is to determine whether the utilization of social media (Facebook) is an important factor in increasing the visibility of the library site usage in Malaysian public universities. Nine top ranked Malaysian public universities involved in this research and number of Facebook followers for each library website is listed. Alexa software was used as the approach to study the issue of visibility. Alexa is able to determine web site usage, by showing the percentage of visitors of library related subdomain(s) as listed in the top subdomains for each University website (domain) over a month. It is found that Universiti Utara Malaysia library website scored the highest percentage of visitors based on the library related subdomain(s) as listed in the top subdomains for the University website in Alexa. To check such irregularities in access, this paper use EvalAccess 2.0 and it is found that Universiti Sains Malaysia’s library website scored higher irregularities. In term of number of Facebook followers, Univesity of Malaya library has the highest score. It is showed that the utilization of social media (Facebook) is not yet an important factor in increasing the visibility of the library websites. However, expectedly, top ranked universities’ library web sites, are more visible and popular. This research is limited to the situation in Malaysia where public universities are more noticeable and seldom face financial constraints rather than private universities. It is highly important for those universities’ library web sites that are not highly visible to initiate the necessary measures in improving the development of their web sites as the usage of the website is an indicator of online quality