Information Retrieval from a Structured KnowledgeBase

Avani Chandurkar, Ajay Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


With the inception of World Wide Web, the amount of data present on the internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system that can extract the required information becomes urgent. This paper presents a Question Answering system to ease the process of information retrieval. Question Answering systems have been around for quite some time and are a sub-field of information retrieval and natural language processing. The task of any Question Answering system is to seek an answer to a free form factual question. The difficulty of pinpointing and verifying the precise answer makes question answering more challenging than simple information retrieval done by search engines. The research objective of this paper is to develop a novel approach to Question Answering based on a composition of conventional approaches of Information Retrieval (IR) and Natural Language processing (NLP). The focus is also on exploring the use of a structured and annotated knowledge base as opposed to an unstructured knowledge base. The knowledge base used here is DBpedia and the final system is evaluated on the Text REtrieval Conference (TREC) 2004 questions dataset.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509048960
StatePublished - Mar 29 2017
Event11th IEEE International Conference on Semantic Computing, ICSC 2017 - San Diego, United States
Duration: Jan 30 2017Feb 1 2017


Other11th IEEE International Conference on Semantic Computing, ICSC 2017
Country/TerritoryUnited States
CitySan Diego


  • Information Retrieval
  • Natural Language Processing
  • Question Answering System
  • Structured Semantic Data

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications


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