Tengku Adil Tengku Izhar

GOAL-Toolkit Based Ontology for Information Entrepreneurs to Evaluate the Goals Achievement: A Research Plan

Theaimof thisconceptualpaper is toproposea toolkit toassist entrepreneurs toevaluate their organizationalgoalsachievement.Thistoolkitisdesignasaclearsetofsystematicguidelinefor organizationstoanalysetheirdatatoextractvaluethatmeetcertainorganizationalgoals.Itallows entrepreneurstomanagetheirdatabasedonacceptedgoodpractice,whichtheirorganizationscan adopttoevaluatetheleveloftheirgoalsachievement.Theimplementationofthetoolkitexplains howdatacanbeanalysedinrelationtotheorganizationalgoals.Byusingthetoolkit,organization cantracehowdataisflowsacrosstheorganizations,identifytherelevantdataandseekstodefine ametrics toanalyse relevantdata.Asa result, it improves theunderstandingof the relationship betweenorganizationaldataandorganizationalgoalsthatcanleadtoaneffectiveevaluationofthe goalsachievement.

Current Development on Social Media Platform for Green Library Technology Initiative

There has been wide academic and research interest in the application of social media modalities, as instructional tools, in contemporary educational settings. Although research on this topic has grown exponentially in recent years, very little is known about the breadth of research regarding the engagement of social media to empower green library initiative for sustainability community. This paper aims to obtain current development on social media engagement that influence library to implement green initiative for sustainability community. In order to achieve this aim, the study reviews the literature hence for analysis and synthesis of literature on social media, library and green technology. In this paper, all related and relevant primary, secondary and tertiary sources are referred. The significant of this paper will assist future development of research framework based social media to empower green library initiative.

Record linkage in organisations: a review and directions for future research

Record linkage is a task of identifying data from large datasets across different data sources. Although record linkage approach has been applied in many areas, there is limited discussion on the literature that gives an overview on recent development that addressed record linkage in the scope of the organisational goals. This paper is classified according to the recent development on record linkage as an approach to drive the understanding of the dependencies of organisational data in relation to the organisational goals. We observed recent literature based on this classification to identify recent development on record linkage. The results show that there is no study in evaluating record linkage in the scope of organisational data that relate to the organisational goals. The contribution of this paper will serve as a first step to develop the dependency relationship between organisational data and organisational goals.

An ontology-based goal framework to evaluate the level of the organizational goals achievement

This paper is about gathering the measurement data and making an effectiveness results to assist decision-making process to evaluate the level of the organizational goals achievement. In order to achieve this aim, we designed GOAL framework as a platform represents five steps for domain experts and entrepreneurs to identify the relevant organizational data to assist decision-making process in relation to the organizational goals. The aim of this paper concentrates on the design of this framework. GOAL framework associated with the organizational goals ontology aim to identify the dependency relationship between organizational goals and dependency relationship between organizational data and organizational goals. Metrics is defined for this dependency to identify which organizational data is relevant to the organizational goals. The framework is flexible to change without affecting things around because the framework is applicable in any organizational data with different organizational goals.

Framework based ontology for heterogenous Big Data correlation in cloud infrastructure

People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of Big Data. Big Data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. Organizations rely to this data to achieve specific business priorities. The challenge is how to capture this data from different data sources. The aim of this paper is to propose a framework using an ontology to capture relevant information from different data sources. In order to achieve this aim, we review past literature related to the model based ontology that incorporate both internal data and external data sources. The results from the this paper will develop an incremental approach to extend the ontology with relevant external knowledge bases by clustering and annotating the external data to concepts and properties within the ontology.