A Semantic Search Framework in Peer-to-Peer based Digital Libraries

Abstract

Advances in peer-to-peer overlay networks and Semantic Web technology will have a substantial influence on the design and implementation of future digital libraries. However, it remains unclear how best to combine their advantages in constructing digital library systems. This thesis is devoted for investigating, proposing and evaluating possible solutions to advance developments in this field.

The main research goal of this work is to combine the strengths of both peer-to-peer overlay networks and Semantic Web for facilitating semantic searches in large-scale distributed digital library systems. The approach has been conducted in a sequential and progressive manner. Firstly, we recognize system infrastructure and metadata heterogeneity as two major challenges in conducting semantic searching across distributed digital libraries. Next, we investigate the strengths and weaknesses of both peer-to-peer and Semantic Web technology and justify that these two fields are complementary and can be combined in conducting semantic searches in a large-scale distributed environment. Thirdly, due to various topologies, functionalities and limitations different peer-to-peer infrastructures may possess, we survey current classical peer-to-peer systems so as to facilitate determinating appropriate infrastructure for specific application scenario. Fourthly, we probe into approaches in generating ontology-enriched metadata records for semantic search purpose. Finally and most importantly, we will propose a semantic search process for interoperation among heterogeneous resources, basing on ontology mapping mechanism.

A major contribution expected in our work is, in a broader term, proposing and investigating possible solutions in combining the strengths of both peer-to-peer overlay networks and Semantic Web for facilitating semantic search among highly distributed digital libraries. From a specific perspective, we provide an appropriate benchmark for facilitating decision making in choosing appropriate peer-to-peer networks for digital library construction; especially, we consider in this work no global schema exists and further justify the feasibility and advantages of ontology engineering method in semantic enriched metadata management; to support federated search in such a distributed environment, we also propose an extended super-peer network model, emphasizing in load-balancing and self-organizing capabilities; Based on semantic enriched metadata management, we propose also direct ontology mapping method to enable runtime semantic search process. Evaluation results have illustrated the feasibility and robustness of our approaches.

The future direction of this work includes studies on user authentication,efficient ontology parsing and real-life applications.