An Intent-Based Natural Language Interface for Querying Process Execution Data

Kobeissi, Meriana; Assy, Nour; Gaaloul, Walid; Defude, Bruno; Haidar, Bassem

doi:10.1109/icpm53251.2021.9576850

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…We refer to [14] for an introduction to Cortado's architecture and a feature overview. 4 from the loaded event log that satisfies the displayed query. We refer to [13] for an introduction to the trace variant visualization.…”

Section: Methodsmentioning

confidence: 99%

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Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

Schuster

Martini

Zelst

et al. 2022

Lecture Notes in Computer Science

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Event logs, as viewed in process mining, contain event data describing the execution of operational processes. Most process mining techniques take an event log as input and generate insights about the underlying process by analyzing the data provided. Consequently, handling large volumes of event data is essential to apply process mining successfully. Traditionally, individual process executions are considered sequentially ordered process activities. However, process executions are increasingly viewed as partially ordered activities to more accurately reflect process behavior observed in reality, such as simultaneous execution of activities. Process executions comprising partially ordered activities may contain more complex activity patterns than sequence-based process executions. This paper presents a novel query language to call up process executions from event logs containing partially ordered activities. The query language allows users to specify complex ordering relations over activities, i.e., control flow constraints. Evaluating a query for a given log returns process executions satisfying the specified constraints. We demonstrate the implementation of the query language in a process mining tool and evaluate its performance on real-life event logs.

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Section: Methodsmentioning

confidence: 99%

“…In [4], the authors propose a natural language interface for querying event data. Similar to [3], a graph based search is used.…”

Section: Related Workmentioning

confidence: 99%

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

Schuster

Martini

Zelst

et al. 2022

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In [12], the authors proposed an approach that automatically builds a chatbot from a process model to query process structure. Another work proposed a chatbot to query event data allowing users to get insights into specific process executions [11]. All these works are either about domain-specific chatbots or about querying the process execution or structure but do not focus on performing process tasks.…”

Section: Introductionmentioning

confidence: 99%

Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services

Bouguelia¹,

Berro²,

Benatallah³

et al. 2022

Lecture Notes in Computer Science

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Task-oriented conversational assistants are in very high demand these days. They employ third-party APIs to serve end-users via natural language interactions and improve their productivity. Recently, the augmentation of process-enabled automation with conversational assistants emerged as a promising technology to make process automation closer to users. This paper focuses on the superimposition of task-oriented assistants over composite services. We propose a Human-bot-Process interaction acts that are relevant to represent natural language conversations between the user and multi-step processes. In doing so, we enable human users to perform tasks by naturally interacting with processes.

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From Text to Performance Measurement: Automatically Computing Process Performance Using Textual Descriptions and Event Logs

Resinas,

del-Río-Ortega,

van der Aa

2023

Lecture Notes in Computer Science

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An Intent-Based Natural Language Interface for Querying Process Execution Data

Cited by 6 publications

References 14 publications

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services

From Text to Performance Measurement: Automatically Computing Process Performance Using Textual Descriptions and Event Logs

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