BE/BTech & ME/MTech Final Year Projects for Computer Science | Information Technology | ECE Engineer | IEEE Projects Topics, PHD Projects Reports, Ideas and Download | Sai Info Solution | Nashik |Pune |Mumbai
director@saiinfo settings_phone02536644344 settings_phone02030107071 settings_phone+919270574718 +919096813348 settings_phone+919028924212
logo


SAI INFO SOLUTION


Diploma | BE |B.Tech |ME | M.Tech |PHD

Project Development and Training

Search Project by Domainwise


Facilitating Document Annotation using Content and Querying Value


Facilitating Document Annotati
Abstract


A large number of organizations today generate and share textual descriptions of their products, services, and actions. Such collections of textual data contain significant amount of structured information, which remains buried in the unstructured text. While information extraction algorithms facilitate the extraction of structured relations, they are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. We present a novel alternative approach that facilitates the generation of the structured metadata by identifying documents that are likely to contain information of interest and this information is going to be subsequently useful for querying the database. Our approach relies on the idea that humans are more likely to add the necessary metadata during creation time, if prompted by the interface; or that it is much easier for humans (and/or algorithms) to identify the metadata when such information actually exists in the document, instead of naively prompting users to fill in forms with information that is not available in the document. As a major contribution of this paper, we present algorithms that identify structured attributes that are likely to appear within the document, by jointly utilizing the content of the text and the query workload. Our experimental evaluation shows that our approach generates superior results compared to approaches that rely only on the textual content or only on the query workload, to identify attributes of interest.

KeyWords
CADS,Storm Category,textual descriptions



Share
Share via WhatsApp
BE/BTech & ME/MTech Final Year Projects for Computer Science | Information Technology | ECE Engineer | IEEE Projects Topics, PHD Projects Reports, Ideas and Download | Sai Info Solution | Nashik |Pune |Mumbai
Call us : 09096813348 / 02536644344
Mail ID : developer.saiinfo@gmail.com
Skype ID : saiinfosolutionnashik