Domain knowledge query conversation bots in instant messaging (IM)

O.S. Goh; C.C. Fung; A. Depickere

doi:10.1016/j.knosys.2008.03.055

Back

Domain knowledge query conversation bots in instant messaging (IM)

Journal article

Open access

Peer reviewed

Domain knowledge query conversation bots in instant messaging (IM)

O.S. Goh, C.C. Fung and A. Depickere

Knowledge-Based Systems, Vol.21(7), pp.681-691

2008

DOI: https://doi.org/10.1016/j.knosys.2008.03.055

Files and links (2)

pdf

domain-knowledge-query-conversation-bots-in-instant-messaging.pdfDownload View

Author’s Version Open Access

url

Link to Published Version *Subscription may be requiredView

Abstract

In this paper, we examine the use of knowledge query technology as applied to conversation bots in the instant messaging environment. Hence, we designed an artificial intelligent conversation robot or bots called Artificial Intelligence Natural language Identity (hereafter, AINI) to mimic human conversation. Our goal is to introduce a Domain Matrix Knowledge Model and an Automated Knowledge Extraction Agent (AKEA) to create AINI's knowledge bases, and in turn provide intelligent query mechanisms. We report an evaluation on the collection and analysis of a corpus containing over 3280 utterances in a series of real instant messages exchanged between the AINI conversation bot and 65 online buddies. About 1721 utterances were produced by AINI, 88.03% were from open-domain knowledge, 2.15% from domain-specific knowledge base and 9.82% were inappropriate and amusing responses. These results show that domain knowledge plays significant roles in conversations between two or more human users and in human-machine conversation.

Details

Title: Domain knowledge query conversation bots in instant messaging (IM)
Authors/Creators: O.S. Goh (Author/Creator)
C.C. Fung (Author/Creator)
A. Depickere (Author/Creator)
Publication Details: Knowledge-Based Systems, Vol.21(7), pp.681-691
Publisher: Elsevier BV
Identifiers: 991005541095607891
Murdoch Affiliation: School of Information Technology
Language: English
Resource Type: Journal article

Metrics

500 File views/ downloads

120 Record Views

7 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.116 Robotics; 4.116.1415 Human-Robot Interaction
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Computer Science