A survey on question answering technology from an information retrieval perspective

. With the recent rapid growth of the Semantic Web (SW), the processes of searching and querying content that is both massive in scale and heterogeneous have become increasingly challenging. User-friendly interfaces, which can support end users in querying and exploring this novel and diverse, structured information space, are needed to make the vision of the SW a reality. We present a survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web. First, we provide a comprehensive perspective by analyzing the general background and history of the QA research field, from influential works from the artificial intelligence and database communities developed in the 70s and later decades, through open domain QA stimulated by the QA track in TREC since 1999, to the latest commercial semantic QA solutions, before tacking the current state of the art in open userfriendly interfaces for the SW. Second, we examine the potential of this technology to go beyond the current state of the art to support end-users in reusing and querying the SW content. We conclude our review with an outlook for this novel research area, focusing in particular on the R&D directions that need to be pursued to realize the goal of efficient and competent retrieval and integration of answers from large scale, heterogeneous, and continuously evolving semantic sources.

/pdf/is-question-answering-fit-for-the-semantic-web-a-survey-3vohcx6lp1.pdf

Is question answering fit for the semantic web?: a survey

Question Answering Systems: Survey and Trends☆

A literature review on question answering techniques, paradigms and systems

Wikipedia has become one of the ten most visited sites on the Web, and the world’s leading source of Web reference information Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives This article presents a systematic review of scholarly research on Wikipedia We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia We present the WikiLit website (http wikilit dot referata dot com), where most of the papers reviewed here are described in detail In the major section of this article, we then categorize and summarize the studies An appendix features an extensive list of resources useful for Wikipedia researchers

/pdf/the-people-s-encyclopedia-under-the-gaze-of-the-sages-a-5ez9kqtvas.pdf

The People’s Encyclopedia Under the Gaze of the Sages: A Systematic Review of Scholarly Research on Wikipedia

This paper presents QACID an ontology-based Question Answering system applied to the CInema Domain. This system allows users to retrieve information from formal ontologies by using as input queries formulated in natural language. The original characteristic of QACID is the strategy used to fill the gap between users' expressiveness and formal knowledge representation. This approach is based on collections of user queries and offers a simple adaptability to deal with multilingual capabilities, inter-domain portability and changes in user information requirements. All these capabilities permit developing Question Answering applications for actual users. This system has been developed and tested on the Spanish language and using an ontology modelling the cinema domain. The performance level achieved enables the use of the system in real environments.

íscar Ferrández

Papers

Addressing ontology-based question answering with collections of user queries

Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering