Handling Unstructured Data for Semantic Web – A Natural Language Processing Approach
Journal Title: Scholars Journal of Engineering and Technology - Year 2014, Vol 2, Issue 2
Abstract
World Wide Web is a large repository of structured data and un-structured data. Structured data has a well-fixed structure thus is easy to analyze and use with computational machinery. On the other side handling of unstructured data is a challenging task for knowledge base. This paper describes Natural Language Processing techniques for handling unstructured data and its usefulness for semantic Web so that knowledge extracted from un-structured data can be useful for searchers ease of access and extraction of relevant documents. Keywords: Semantic Web, NLP (Natural Language Processing), Ontology and Knowledge Base
Authors and Affiliations
Hemant Kumud
Keywords
Related Articles
- EP ID EP384338
- DOI -
- Views 124
- Downloads 0
An Efficient Design Method of News System
Using development method of dynamic and static B/S structure, this paper designed and implemented an static news system based on dynamic generation technology. The system overcomes the shortcomings of traditional dynamic...
Optimal Cost Planning of a Photovoltaic-Battery-Diesel Generator Hybrid Power System in Kahramanmaras Conditions
Mountain houses prevail in Mediterranean region. Electricity costs are considerably high for these houses when they are located remotely from electric network. The development of photovoltaic (PV) solar cells has become...
The Research of Ultra-low Permeable Reservoir Horizontal Well Pattern Optimization
Horizontal well fracturing technology is a low permeable oilfield development mining technology. Reservoir physical properties changes after fracturing. In this paper, on the basis of a large number of indoor experiment...
A Verb-Based Method of Chinese Relation Pattern Extraction
Abstract:The current study proposes a verb-based method of relation pattern extraction, which aims to extract entity relations with high accuracy from Chinese website corpus. In this study, entity identifications of huma...
Data Embedding in a moving Compressed Video
The proposed work deals with data hiding in compressed video. Unlike data hiding in images and raw video which operates on the images themselves in the spatial or transformed domain which are vulnerable to steganalysis,...