INFRASTRUCTURE FOR GIS INTEROPERABLITY APPLICATION FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY (FTMK) THE TECHNICAL UNIVERSITY OF MALAYSIA MELAKA (UTeM) PO BOX 1200 AYER KEROH, MELAKA MALAYSIA By: FTMK GIS Group

Introduction Research project has been conducted under the framework of the KUTKM Research Grant and e Science Fund. GIS within last few decades, GIS has been proved as “a powerful research tool” to provide timely predefined information.

GIS as a powerful analytical and visualization tools: Landslide Study

Application of GIS in Orangutans habitat

Endangered Vegetation distribution study

What is the Problem with the issue of lack of Interoperability?

Why shouldn’t different GIS users share or collect ….. Spatial data acquisition : Costly Re-digitalizes data: Precision and accuracy, editing spatial data is problematic Import, export and conversion: Loosing to much information

GIS interoperability problems Many GIS users using different GIS platforms and advancement in Internet technology can not be fully utilized due to lack of interoperability. There is still “lack of perfect union” between the functionality of two more different GIS platforms. Even using same platform also rises up similar problem “due to differences” in the conceptual data models, semantic meaning, data collection scheme and quality of parameters used.

GIS Interoperability Problems…con’t Reveal the needs of interoperability, between two or more different GIS platforms.

System Interoperability Defined Exchange-Sharing Data/Information R & R R & R = Request & Respond

GIS Interoperability Exchanging of GIS data Request Respond

LEVEL OF INTEROPERABILITY

Concept of Interoperability at application level Integration of software component Integration of software component –Capability of software to communicate with each other –This communication regardless of Vendor Vendor Platform or Platform or System architecture System architecture User will able to use data and software service at any time and any where across the boundaries. User will able to use data and software service at any time and any where across the boundaries.

Concept of Interoperability at application level The spatial information sharing or interoperability is referred to inter- application process control within distributed collection of different platform GIS users, data, software, and hardware.

GIS Interoperability Modules Module 1: User Focusing on the technical aspect of achieving interoperability such as protocol, semantic translator, file format and technical solution used Module 2 : Resources Discovery Server module Metadata format, vocabulary use and semantic dictionary Module 3: GIS service provider Address organizational and operational aspect Agreement of data exchange, Rule for data access and Rule of data

Current progress Interoperability at application levels Interoperability at application levels The development two of GIS interoperability infrastructure: named as A Resources Discovery Server and Semantic Translator Engine which facilitate end GIS user to search, locate and retrieve the require spatial information. The development two of GIS interoperability infrastructure: named as A Resources Discovery Server and Semantic Translator Engine which facilitate end GIS user to search, locate and retrieve the require spatial information.

Resources discovery server (RDS) Resources discovery server (RDS) Objective of RDS: Using Open Sources Objective of RDS: Using Open Sources –Simplicity –Transparent –Open –Independent –Secure and effective –Universal –Data management

Metadata Data about data Gained trust from user as indexing tools particularly since the advent of large scale repositories on Internet. Provide important background information about dataset such as What it is Where and where it was compiled Who collect the information

Conclusions related to systems interoperability Each service provider or data owners such as government, commercial entities, educational institutes, news organization and general public has to register (publish) by means of metadata to the catalogue to permit accessibility.

Conclusions related to RDS Database engine Simplify the process of application connection. Concern on data access among different places and time. RDS employs clients to DBMS server architecture to facilitate cross platform communication to the server from client side driver.

danks & tot zien From, Faculty Of Information and Communication Technology (FTMK),KUTKM