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The Goal Behind the Action: Toward Goal-Aware Systems and Applications

Authors:

Dimitra Papadimitriou,

Georgia Koutrika,

John Mylopoulos,

Yannis VelegrakisAuthors Info & Claims

ACM Transactions on Database Systems (TODS), Volume 41, Issue 4

Article No.: 23, Pages 1 - 43

https://doi.org/10.1145/2934666

Published: 08 November 2016 Publication History

Abstract

Human activity is almost always intentional, be it in a physical context or as part of an interaction with a computer system. By understanding why user-generated events are happening and what purposes they serve, a system can offer a significantly improved and more engaging experience. However, goals cannot be easily captured. Analyzing user actions such as clicks and purchases can reveal patterns and behaviors, but understanding the goals behind these actions is a different and challenging issue. Our work presents a unified, multidisciplinary viewpoint for goal management that covers many different cases where goals can be used and techniques with which they can be exploited. Our purpose is to provide a common reference point to the concepts and challenging tasks that need to be formally defined when someone wants to approach a data analysis problem from a goal-oriented point of view. This work also serves as a springboard to discuss several open challenges and opportunities for goal-oriented approaches in data management, analysis, and sharing systems and applications.

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Cited By

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https://doi.org/10.1007/978-3-031-80438-0_12
Choukri IGuermah HDaosabah ANassar M(2021)Context aware Hidden Markov Model for Intention process mining2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)10.1109/ICDS53782.2021.9626765(1-5)Online publication date: 20-Oct-2021
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Index Terms

The Goal Behind the Action: Toward Goal-Aware Systems and Applications
1. Information systems

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cover image ACM Transactions on Database Systems

ACM Transactions on Database Systems Volume 41, Issue 4

Invited Paper from EDBT 2015, Invited Paper from PODS 2015 and Regular Papers

December 2016

309 pages

ISSN:0362-5915

EISSN:1557-4644

DOI:10.1145/3014437

Editor:
Christian S. Jensen
Aalborg University, Denmark

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Publication History

Published: 08 November 2016

Accepted: 01 April 2016

Revised: 01 January 2016

Received: 01 January 2015

Published in TODS Volume 41, Issue 4

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Cited By

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https://doi.org/10.1007/978-3-031-80438-0_12
Choukri IGuermah HDaosabah ANassar M(2021)Context aware Hidden Markov Model for Intention process mining2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)10.1109/ICDS53782.2021.9626765(1-5)Online publication date: 20-Oct-2021
https://doi.org/10.1109/ICDS53782.2021.9626765
Rashid AFarooq MAbid AUmer TBashir AZikria Y(2021)Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challengesComplex & Intelligent Systems10.1007/s40747-021-00342-99:3(2773-2799)Online publication date: 5-Apr-2021
https://doi.org/10.1007/s40747-021-00342-9
Chen TYin HChen HYan RNguyen QLi X(2019)AIR: Attentional Intention-Aware Recommender Systems2019 IEEE 35th International Conference on Data Engineering (ICDE)10.1109/ICDE.2019.00035(304-315)Online publication date: Apr-2019
https://doi.org/10.1109/ICDE.2019.00035
Skobtsov AKalenkova A(2019)Using Heuristic Algorithms for Fast Alignment between Business Processes and Goals2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)10.1109/EDOCW.2019.00025(85-91)Online publication date: Oct-2019
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Papadimitriou DKoutrika GVelegrakis YMylopoulos J(2017)Finding Related Forum Posts through Content Similarity over Intention-Based SegmentationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.269996529:9(1860-1873)Online publication date: 4-Aug-2017
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