## 4 Ontology Implementation  
There are three goals in the process of ontology implementation:  
1. Research-based numerical evaluation of the input-output multipliers and ontology population with them. 2. Ontology population with results of SWOT analysis. \begin{table}
\begin{tabular}{c c} \hline \hline
**Concept** & **Object Properties** \\ \hline \multirow{4}{*}{City} & _BelongsToMunicipality_ \\  & _HaveStrenght_ \\  & _HaveOpportunity_ \\  & _HaveStrategy_ \\ \hline \multirow{2}{*}{Municipality} & _HaveCity_ \\  & _BelongToState_ \\ \hline \multirow{2}{*}{State} & _HaveMunicipality_ \\ \hline \multirow{2}{*}{Economic\_environment} & _HaveMultiply_ \\  & _HavePriority_ \\ \hline \multirow{2}{*}{Social\_environment} & _HaveLow_ \\  & _HaveHigh_ \\ \hline \multirow{2}{*}{Goal} & _HaveObjective_ \\ \hline \multirow{2}{*}{Mission} & _DefinedBy_ \\ \hline \multirow{2}{*}{Ojective} & _PartOfStrategy_ \\ \hline \multirow{2}{*}{Vision} & _HaveGoal_ \\  & _HaveObjective_ \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Concepts and object properties. Figure 5: _Action_ concept. Figure 6: _Multiplier_ concept. 3. Ontology population with instances belonging to _the priority_ concept, _regional environment_, and _economic environment_ concepts are shown in Figure 1.  
Input-output multipliers are indicators that describe the connection between the selected sector and the rest of the regional economy. They can also be used to assess the impact of changes in the selected sector on the rest of the economy [24]. Three types of multipliers can be calculated from an I/O model: output, employment, and income. Multipliers can be divided into three levels: direct, indirect, and induced. [PERSON] [36] considers that the levels of employment in industries related to production, such that the employment/output ratio, can be defined for all levels of output. When applied to the I/O model, it allows the calculation of employment multipliers. The authors suggest that it is possible to estimate the relationship between the output value of the sector and employment in the sector. In this way, we can calculate the income multiplier for each sector. [PERSON] used the _output employment_ relationship to calculate the employment multiplier. According to [PERSON], income multipliers describe the impact of changes in consumer demand, depending on the change in household income (labor force). The input multiplier translates the initial assessment outputs from the valuation results of employment (household income). To create a basis for the ontology-driven simulation method for assessing economic impact, the SPO ontology is populated with multipliers obtained from the economic impact model created for the analyzed region in the following manner: Every concept that belongs to the set of _Economic_environment_ sub-concepts (Figure 1) is populated with instances, object properties, and data properties. Table 2 presents the _Economic_environment_ sub-concept population. Instances E1, I1, and O1 represent the multiplier types of Employment, Income, and Output. I/O multipliers for the analyzed region are obtained from the research, output, income, and employment multipliers in the Malaysian economy [36]. The SWOT analysis utilized the data identified during the socio-economic analysis of the analyzed region. The socioeconomic analysis is the analytical basis for starting a strategic planning process. This enables insight into the existing state, identification of problems, and developmental limits. Based on data that have been identified during socio-economic analysis, SWOT analysis matrices are created with entries such as strengths, weaknesses, threats, and opportunities for all key sectors of the analyzed region. The ontology concept _Economic_environment_ is populated with SWOT analysis results using the relations _HaveStrenght_ or _HaveOpportunity_.