Analysis of Semantic Web Technology and Web Ontology for Digital Library Service

Abstract

The broad concept of digital libraries ideally represents the needs of heterogeneous information resources combining the development of complex systems issues such as interoperability among existing data providers, distributed retrieval, and long-term preservation. These days most of the existing web-based digital libraries offer search as well as navigation services. Search services are mainly based on a set of metadata such as domain related keywords, author, title, or journal name that carries no semantic information for the search engine. Besides, digital libraries may support graphical user interfaces to aid the formation of queries in order to search documents. Queries can contain one or more domain keywords to be searched in the full text document, or in one of the metadata fields. This study aimed to harness the collective knowledge within communities in digital libraries, improving the discovery and dissemination of knowledge through ontologies. The study is intended to analyze the semantic web technology and web ontology–based language application for sharing knowledge through digital library service. The design science and exploratory research methodology is employed in this study to explore and analyze semantic web and ontology. In this study the researcher have evaluated the effect of semantic web technology and web ontology language for digital library service. The study analyzed various digital library services with the support of semantic web technologies. Mainly, digital libraries have been benefited from ontology language, semantic web and syntactical features in order to enhance the searching capabilities of their systems. To do so, in this study the researcher have discussed all the digital libraries searching strategies and come up with a new integrated robust framework with the help of domain specific ontologies and semantic sentence embedding approach. The study has used an existing ontology for infectious disease portal in order to extract dictionaries of terms, concept relationships and properties. On the other hand, the researcher used the capabilities of sentence embedding techniques on the top of rich set of pre trained vocabularies and pre trained models In order to evaluate the propose framework the researcher prepared a small size dataset on domain specific communicable diseases. The dataset consists of relevant metadata of articles such as author, title, Uniform Resource Locater, abstract, Internatiol Standard of Book Number, year of publication, and disease term or vocabularies. The Semantic web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. In addition, the semantic web has played a significant role to improve the efficiency of different search engines including digital library systems.