Biswanath Dutta ¹

Affiliations
1 Documentation Research and Training Centre, Indian StatisticalInstitute, Bangalore 560 059, IN

Abstract

The World Wide Web has a great impact on the way people communicate and their transactions. It has helped transform communities towards knowledge economy, broadly speaking into a knowledge society. Now the web is facing a significant change since its inception, and Sir Tim Berners-Lee is again at the forefront of the change introducing the concept of Semantic Web. In this paper, an overview of Semantic Web technology and its prospects are presented. It explains the different layers involved in the implementation of semantic web for representing information on the web. The paper discusses applications of semantic web technology in information retrieval.

Keywords

Information Retrieval, WWW, Semantic Web.

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Biswanath Dutta ¹, Puranjani Das ¹

Affiliations
1 Indian Statistical Institute, Bangalore – 560059, Karnataka, IN

Abstract

Semantic Annotator for knowledge Graph Exploration, abbreviated as SAGE is a “Thing” annotation system. Here, “Thing” refers to any concept, named individuals (aka entities), entity relations, and attributes. The system is primarily built based on the idea of “string to thing” where the “string” is any given text (e.g., abstract of an article) as input by the user. For annotation, the system utilises knowledge graph(s). SAGE can be used by anyone for annotating Things and for their exploitation on the Web. The annotation of things is done through exact and partial matches. For exact matches, the system makes explicit the name of the knowledge graphs it is sourced from. It also shows the type hierarchies for the matched named entities. In the current work, we describe the SAGE annotation system, designed on pattern-based NLP techniques, along with its features and various usage, and the experimental results.

Keywords

Application, Automated Annotation, Entity Annotation, Knowledge Graph Exploration, NLP, Semantic Annotation, Semantic Annotation Platform, Thing Annotation, Thing Spotting.

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