Shengping Liu

Towards a complete OWL ontology benchmark

Aiming to build a complete benchmark for better evaluation of existing ontology systems, we extend the well-known Lehigh University Benchmark in terms of inference and scalability testing. The extended benchmark, named University Ontology Benchmark (UOBM), includes both OWL Lite and OWL DL ontologies covering a complete set of OWL Lite and DL constructs, respectively. We also add necessary properties to construct effective instance links and improve instance generation methods to make the scalability testing more convincing. Several well-known ontology systems are evaluated on the extended benchmark and detailed discussions on both existing ontology systems and future benchmark development are presented.

EIAW: towards a business-friendly data warehouse using semantic web technologies

Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes.

A Practical Approach for Scalable Conjunctive Query Answering on Acyclic

Conjunctive query answering for

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Knowledge Base

ontologies has recently drawn much attention, as the Description Logic

Supporting Ontology-Based Dynamic Property and Classification in WebSphere Metadata Server

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Towards a Complete OWL Ontology Benchmark

captures the expressivity of many large ontologies in the biomedical domain and is the foundation for the OWL 2 EL profile. In this paper, we propose a practical approach for conjunctive query answering in a fragment of

Beyond Regional Health Information Exchange in China: A Practical and Industrial-Strength Approach

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iSMART: Ontology-based Semantic Query of CDA Documents

, namely acyclic

Method for establishing multidimensional model and data store mode mappings and relevant system

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