FIRDoR - Fuzzy information retrieval for document recommendation

Santos, Rodrigo Costa dos; Machado, Maria Augusta Soares

doi:10.1016/j.procs.2018.10.217

Cited by 3 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of literatures [12], [13] are also available that focuses on domain specific information or can handle specific types of queries on limited data set [11]. Limited availability of data increases the challenges in extracting accurate information as and when required [14], [15]. Extracting multi domain information from unstructured text on different types of user queries and presenting the answer in a structured format is still a challenging task and has achieved no significant progress till date.…”

Section: Introductionmentioning

confidence: 99%

A Rule-based Information Extraction System

Panda¹,

Behera²,

Pradhan³

et al. 2019

IJITEE

View full text Add to dashboard Cite

Designing intelligent expert systems capable of answering different human queries is a challenging and emerging area of research. A huge amount of web data is available online and majority of which are in the form of unstructured documents covering articles, online news, corporate reports, medical records, social media communication data, etc. A user in need of certain information has to assess all the relevant documents to obtain the exact answer of their queries which is a time consuming and tedious work. Also, sometimes it becomes quite difficult to obtain the exact information from a list of documents quickly as and when required unless the whole document is read. This paper presents a rule-based information extraction system for unstructured web data that access the document contents quickly and provides the relevant answers to the user queries in a structured format. A number of tests were conducted to determine the overall performance of the proposed model and the results obtained in all the experiments performed shows the effectiveness of the model in providing required answers to different user queries quickly.

show abstract