A Survey on Facilitating Document Annotation Techniques
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 4)Publication Date: 2015-04-05
Authors : Priyanka C. Ghegade; Vinod S. Wadne;
Page : 1772-1776
Keywords : Annotation; Document; query; feature extraction; NLP; fuzzy logic; Structured;
Abstract
Annotations can be comments, important notes, explanation about data or other types of related information or remarks that can be attached to document or to a specific part of a document. As these annotations are external, it is possible to annotate any Web document independently, without need of editing the document itself. Annotations are seen as metadata as they give additional information about an existing piece of data. As a large amount of data is produced and shared in different organization which is in text format contains the metadata about organizing product and services. This type of text structured information is getting hidden in unstructured text. Annotations are useful in effective information retrieval. Document annotation techniques add s or comments along with a document or part of information, this attached information is checked first for information retrieval. There are number of techniques which are useful for obtaining best annotation for documents. Techniques contain extracting information from raw data, extraction of structured metadata and many more. In this paper, we are doing a survey on document annotation techniques.
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