A Searchable Knowledge Map Based on Ontology

Knowledge visualization and retrieval are the key techniques to implement effective knowledge management. Traditional research on knowledge map emphasizes on building global view of knowledge base, but ignores its support to knowledge retrieval. In this paper, a searchable knowledge map model is proposed. Based on this model, we extent the search-ability of knowledge map and propose three practical algorithms to retrieve related entities (knowledge and information) and relationships respectively. In these algorithms, entity search finds all information and knowledge relative with the target entity in knowledge map; relationship search discoveries all relation paths ordered by their importance between class and class or instance and instance in which we accelerate the instances relationship search utilizing search result set from classes. Finally, We build a searchable visual knowledge map in our knowledge map system and give a case study and evaluation.