New Directions in Social Question Answering

Blooma JOHN, Jayan Kurian

Research output: A Conference proceeding or a Chapter in BookChapter

Abstract

Social Question Answering (SQA) are emerging as a valuable information resource that is rich not only in the expertise of the user community but also their interactions and insights. The next generation SQA services are challenged in many fronts, including but not limited to: massive heterogeneous, and streaming collections, diverse and challenging users, and the need to be sensitive to context and ambiguity. However, scholarly inquiries have yet to dovetail into a composite research stream where techniques gleaned from various research domains could be used for harnessing the information richness in SQA service to address these challenges. This chapter first explores the SQA domain by understanding the service and its modules, and then investigating previous studies that were conducted in this domain. This chapter then compares SQA services with traditional questions answering systems to identify possible research challenges. Finally, new directions in SQA are proposed.
Original languageEnglish
Title of host publicationDistributed Computing Innovations for Business, Engineering, and Science
EditorsAlfred Waising Loo
Place of PublicationUnited States of America
PublisherIGI Global
Pages266-284
Number of pages19
ISBN (Print)1466625341
Publication statusPublished - 2012
Externally publishedYes

Fingerprint

Composite materials

Cite this

JOHN, B., & Kurian, J. (2012). New Directions in Social Question Answering. In A. W. Loo (Ed.), Distributed Computing Innovations for Business, Engineering, and Science (pp. 266-284). United States of America: IGI Global.
JOHN, Blooma ; Kurian, Jayan. / New Directions in Social Question Answering. Distributed Computing Innovations for Business, Engineering, and Science. editor / Alfred Waising Loo. United States of America : IGI Global, 2012. pp. 266-284
@inbook{f63ac6587a014e0eacca18d6525c2cff,
title = "New Directions in Social Question Answering",
abstract = "Social Question Answering (SQA) are emerging as a valuable information resource that is rich not only in the expertise of the user community but also their interactions and insights. The next generation SQA services are challenged in many fronts, including but not limited to: massive heterogeneous, and streaming collections, diverse and challenging users, and the need to be sensitive to context and ambiguity. However, scholarly inquiries have yet to dovetail into a composite research stream where techniques gleaned from various research domains could be used for harnessing the information richness in SQA service to address these challenges. This chapter first explores the SQA domain by understanding the service and its modules, and then investigating previous studies that were conducted in this domain. This chapter then compares SQA services with traditional questions answering systems to identify possible research challenges. Finally, new directions in SQA are proposed.",
author = "Blooma JOHN and Jayan Kurian",
year = "2012",
language = "English",
isbn = "1466625341",
pages = "266--284",
editor = "Loo, {Alfred Waising}",
booktitle = "Distributed Computing Innovations for Business, Engineering, and Science",
publisher = "IGI Global",

}

JOHN, B & Kurian, J 2012, New Directions in Social Question Answering. in AW Loo (ed.), Distributed Computing Innovations for Business, Engineering, and Science. IGI Global, United States of America, pp. 266-284.

New Directions in Social Question Answering. / JOHN, Blooma; Kurian, Jayan.

Distributed Computing Innovations for Business, Engineering, and Science. ed. / Alfred Waising Loo. United States of America : IGI Global, 2012. p. 266-284.

Research output: A Conference proceeding or a Chapter in BookChapter

TY - CHAP

T1 - New Directions in Social Question Answering

AU - JOHN, Blooma

AU - Kurian, Jayan

PY - 2012

Y1 - 2012

N2 - Social Question Answering (SQA) are emerging as a valuable information resource that is rich not only in the expertise of the user community but also their interactions and insights. The next generation SQA services are challenged in many fronts, including but not limited to: massive heterogeneous, and streaming collections, diverse and challenging users, and the need to be sensitive to context and ambiguity. However, scholarly inquiries have yet to dovetail into a composite research stream where techniques gleaned from various research domains could be used for harnessing the information richness in SQA service to address these challenges. This chapter first explores the SQA domain by understanding the service and its modules, and then investigating previous studies that were conducted in this domain. This chapter then compares SQA services with traditional questions answering systems to identify possible research challenges. Finally, new directions in SQA are proposed.

AB - Social Question Answering (SQA) are emerging as a valuable information resource that is rich not only in the expertise of the user community but also their interactions and insights. The next generation SQA services are challenged in many fronts, including but not limited to: massive heterogeneous, and streaming collections, diverse and challenging users, and the need to be sensitive to context and ambiguity. However, scholarly inquiries have yet to dovetail into a composite research stream where techniques gleaned from various research domains could be used for harnessing the information richness in SQA service to address these challenges. This chapter first explores the SQA domain by understanding the service and its modules, and then investigating previous studies that were conducted in this domain. This chapter then compares SQA services with traditional questions answering systems to identify possible research challenges. Finally, new directions in SQA are proposed.

M3 - Chapter

SN - 1466625341

SP - 266

EP - 284

BT - Distributed Computing Innovations for Business, Engineering, and Science

A2 - Loo, Alfred Waising

PB - IGI Global

CY - United States of America

ER -

JOHN B, Kurian J. New Directions in Social Question Answering. In Loo AW, editor, Distributed Computing Innovations for Business, Engineering, and Science. United States of America: IGI Global. 2012. p. 266-284