research-article

Koko: a system for scalable semantic querying of text

Authors:

Wang-Chiew TanAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 11, Issue 12

Pages 2018 - 2021

https://doi.org/10.14778/3229863.3236249

Published: 01 August 2018 Publication History

Get Access

Abstract

Koko is a declarative information extraction system that incorporates advances in natural language processing techniques in its extraction language. Koko's extraction language supports simultaneous specification of conditions over the surface syntax and on the structure of the dependency parse tree of sentences, thereby allowing for more refined extractions. Furthermore, the Koko extraction language allows for aggregating evidence from an input document and supports conditions that are tolerant of linguistic variation of expressing concepts.

In this demo, we outline the design of Koko, a system for extracting information and understanding the results of the extraction. Koko provides an interactive interface that allows participants to write queries, understand the input and results of the queries. In particular, the user can customize the input text, visualize the input text's dependency parse trees, and understand the correspondences between query components, dependency tree nodes, text tokens, and the computation and associated scores that led to an extraction.

References

[1]

A. Asai, S. Evensen, B. Golshan, A. Halevy, V. Li, A. Lopatenko, D. Stepanov, Y. Suhara, W.-C. Tan, and Y. Xu. HappyDB: A corpus of 100,000 crowdsourced happy moments. In Proc. LREC, 2018 (to appear). https://rit-public.github.io/HappyDB/.

Google Scholar

[2]

L. Chiticariu, Y. Li, and F. R. Reiss. Rule-based information extraction is dead! long live rule-based information extraction systems! In Proc. EMNLP, pages 827--832, 2013.

Google Scholar

[3]

Google Cloud Natural Language API. https://cloud.google.com/natural-language/,

Google Scholar

[4]

R. T. McDonald, J. Nivre, Y. Quirmbach-Brundage, Y. Goldberg, D. Das, K. Ganchev, K. B. Hall, S. Petrov, H. Zhang, O. Täckström, C. Bedini, N. B. Castelló, and J. Lee. Universal dependency annotation for multilingual parsing. In Proc. ACL, pages 92--97, 2013.

Google Scholar

[5]

S. Petrov, D. Das, and R. T. McDonald. A universal part-of-speech tagset. In Proc. LREC, pages 2089--2096, 2012.

Google Scholar

[6]

spaCy: Industrial-Strength Natural Language Processing in Python. https://spacy.io/.,

Google Scholar

[7]

X. Wang, A. Feng, B. Golshan, A. Halevy, G. Mihaila, H. Oiwa, and W.-C. Tan. Scalable semantic querying of text. PVLDB, 9(11):961--974, 2018.

Digital Library

Google Scholar

[8]

XML Path Language (XPath). Xml path language. https://www.w3.org/TR/xpath/.

Google Scholar

Cited By

View all

Li TZhang HCheng DHuang KYu WChen H(2024)Research on Intelligence Logging Interpretation Technology and System Based on Standard Big Data PlatformProceedings of the International Field Exploration and Development Conference 202310.1007/978-981-97-0272-5_12(144-157)Online publication date: 17-Feb-2024
https://doi.org/10.1007/978-981-97-0272-5_12
Zhou TLi YZhang YWang L(2022)Pattern Matching Method for Q&A Information Retrieval SystemAdvances in Intelligent Information Hiding and Multimedia Signal Processing10.1007/978-981-19-1053-1_10(101-112)Online publication date: 14-Jul-2022
https://doi.org/10.1007/978-981-19-1053-1_10

Koko: a system for scalable semantic querying of text
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

Recommendations

Koko: architecture and methodology for engineering social affective applications
AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Representing and reasoning about affect (e.g. emotion and mood) is essential for producing believable characters and empathic interactions with users, both of which are necessary for effective entertainment and education. Leading applications of ...
Koko: engineering affective applications
AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Representing and reasoning about affect (i.e. emotion) is essential for producing believable characters and empathic interactions with users, both of which are necessary for effective entertainment and education. Leading applications of interest include ...
Koko: an architecture for affect-aware games

The importance of affect in delivering engaging experiences in entertainment and educational games is well recognized. Yet, current techniques for building affect-aware games are limited, with the maintenance and use of affect in essence being ...

Comments

Information & Contributors

Information

Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 11, Issue 12

August 2018

426 pages

ISSN:2150-8097

Editors:
Sihem Amer-Yahia
University of Grenoble Alpes, CNRS
,
Jian Pei
Simon Fraser University

Issue’s Table of Contents

Publisher

VLDB Endowment

Publication History

Published: 01 August 2018

Published in PVLDB Volume 11, Issue 12

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
65
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Li TZhang HCheng DHuang KYu WChen H(2024)Research on Intelligence Logging Interpretation Technology and System Based on Standard Big Data PlatformProceedings of the International Field Exploration and Development Conference 202310.1007/978-981-97-0272-5_12(144-157)Online publication date: 17-Feb-2024
https://doi.org/10.1007/978-981-97-0272-5_12
Zhou TLi YZhang YWang L(2022)Pattern Matching Method for Q&A Information Retrieval SystemAdvances in Intelligent Information Hiding and Multimedia Signal Processing10.1007/978-981-19-1053-1_10(101-112)Online publication date: 14-Jul-2022
https://doi.org/10.1007/978-981-19-1053-1_10

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Recommendations

Koko: architecture and methodology for engineering social affective applications

Koko: engineering affective applications

Koko: an architecture for affect-aware games

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations