The use of semantics in computer science is a recent trend thatprovides potential benefits. Ontologies are essential semantic Webcomponents that organize knowledge in a structural classificationformat. The use of ontology was embraced in many scientificfields such as pharmacology, biology, and linguistics. Learningnew knowledge from different language textbooks require bothlearning the language and the knowledge. This paper presents anAlgorithm English-Arabic Ontology (AEAO) that classifies theconcepts of Algorithm domain specifically Data StructureAlgorithms. It also provides the concepts of the algorithms inEnglish and Arabic languages. Building AEAO is expected to helpcomputer Science students, particularly in their early learningstages, capture solid terminological background of algorithm. Understanding algorithm concepts along with the associatedmeaning and the relationships between these concepts is essentialfor computer science learners to understand algorithm textbooksand other computer science subfields. Therefore, this paperexplains the methodology used in building AEAO by providingexpected cognitive applications that can be based on AEAO. Moreover, this paper presents statistical characteristics of theobtained ontology graph of individual Algorithm axioms tomeasure the amount of information in AEAO.