ODGOMS - results for OAEI 2013
I‐Hong Kuo, Tai-Ting Wu · 2013
Abstract. ODGOMS is a multi-strategy ontology matching system which consists of elemental level, structural level, and optimization level strategies. When it starts to match ontologies, it first exploits appropriate string-based and token-based similarity computing strategies to find preliminary aligned results, and then it filters these results and merges them by using the optimization strategies. Despite ODGOMS uses simple matching logic, the results show that it is competitive with other well known ontology matching tools. 1 Presentation of the system 1.1 State, purpose, general statement ODGOMS (Open Data Group Ontology Matching System) is an ontology matching system exploited by our looking forward research plan in the company. The target of mentioned above research plan is to offer people an user-friendly integrated interface to search and to browse linked open data on the internet. The main idea of ODGOMS is to exploit simple but useful matching and merging strategies to produce robust aligned results. All strategies used in the system can be grouped into three groups that are elemental level strategies, structural level strategies, and optimization level strategies. We have submitted two versions of ODGOMS which are version 1.1 and version 1.2 to participate in OAEI 2013 campaign. Of the two the latter is better than the former. This is because the latter has fixed some bugs existed in the former and has added some new features. Since ODGOMS version 1.2 is the latest version of the system, we only describe the contents of it in the following sections. 1.2 Specific techniques used ODGOMS focuses on developing individual ontology matching modules for different matching aspects and on finding an appropriate way to merge all matching modules.