International Journal of Engineering and Techniques – Volume 6 Issue2- March- April 2020ISSN: 2395-1303 http://www.ijetjournal.org Page1Semantic and Network-Based Approaches for AI in Resource Management:Leveraging Cytoscape, NetworkX, and Explicit Semantic AnalysisDurga Praveen Deevi,O2 Technologies Inc, California, USAdurgapraveendeevi1@gmail.comKoteswararao_Dondapati,Everest Technologies, Columbus, Ohio, USA,dkotesheb@gmail.com

International Journal of Engineering and Techniques – Volume 6 Issue2- March- April 2020ISSN: 2395-1303 http://www.ijetjournal.org Page1Semantic and Network-Based Approaches for AI in Resource Management:Leveraging Cytoscape, NetworkX, and Explicit Semantic Analysis
Durga Praveen Deevi,
O2 Technologies Inc, California, USA
durgapraveendeevi1@gmail.comKoteswararao_Dondapati,
Everest Technologies, Columbus, Ohio, USA,
dkotesheb@gmail.com
ABSTRACT
Background: Data heterogeneity, interdependencies, and resource optimization are some of thedifficulties that resource management encounters in dynamic contexts like smart cities andhealthcare. Current methods frequently fail to adequately handle these difficulties. Objectives: Semantic analysis and network modeling are combined in this study to maximizeresource allocation. It focuses on improving efficiency, scalability, and context awareness acrossa variety of applications, such as healthcare systems and smart cities. Methods: To ensure context-aware and scalable solutions, we combine graph-based networkmodeling (Cytoscape, NetworkX), semantic enrichment (Explicit Semantic Analysis, ESA), dependency analysis using centrality metrics, and resource allocation using optimizationapproaches. Results: Real-world case studies conducted in healthcare and smart cities shown that thesuggested framework was 25% more effective than standard techniques at improving resourcemanagement’s scalability, context awareness, and accuracy. Conclusion: By enabling scalable, context-aware, and efficient decision-making, this fusionofsemantic and network-based approaches improves resource management. This frameworkhasalot of potential for use in a variety of disciplines that call for astute resource utilization. Keywords: Cytoscape, NetworkX, explicit semantic analysis (ESA), context-aware optimization, scalable systems, resource management, network modeling, artificial intelligence, and dynamicresources. 1. INTRODUCTION
In today’s world, resource management is of paramount importance in everythingfrommonitoring the environment to urban planning, disaster management, and healthcare. AdvancedArtificial Intelligence techniques are sought today as data grows exponentiallyandisincreasingly tough to manage a variety of resources. Specifically, semantic