We are organizing ACM-L for next-generation learning-base system development. The goal is to enhance our fundamental understanding of how to capture knowledge from transitions between system states, model continual learning from past experiences, and recognizing new types of knowledge. This understanding will enable us to provide traceable lessons learned for improving current situations, adapting to new situations and potentially predicting future actions. We will focus on providing a theoretical framework for active conceptual modeling based on human cognition paradigm for developing a learning-base system to support cognitive capability development and applications such as joint decision-making, global situation monitoring, info-forensics, command and control, lessons-learned systems, medical/patient information systems, and mobile learning/training.

Learning is a continuous process by which relatively permanent behavioral changes occur in the human mind, potentially as a result of an experience. Experience is a kind of knowledge, which includes inference and reasoning about the totality of past events through direct or indirect participation as an individual or group. Learning, which is reflected by discrete changes between states of knowledge, creates meaning from experience. Experience, which is the basis of learning, comprises knowledge or skills gained directly or indirectly through exposure to people, environment, and/or events.

Lessons learned represent knowledge gained by reflecting on experiences that can avoid the repetitions of past mishaps to share observations and to improve future actions. While learning is an ongoing process that transfers knowledge from one state to another, a lesson learned summarizes knowledge at a point in time. To describe an experience is to model past events and associated knowledge from a different perspective. This historical perspective allows us to describe a lesson learned from the interaction of episodic and semantic memories in terms of topic, time/space, people, scenarios/events, cause/effect and general knowledge about the situation or domain.

A framework for learning based on Active Conceptual Modeling is being investigated. Active conceptual modeling is a continual process of describing all aspects of a domain, its activities, and changes under different perspectives based on our knowledge and human cognition. For any given time, the model is viewed as a multi-dimension, multi-level and multi-perspective high-level abstraction of reality. Some parts of the model may also be innovative constructs without existing concrete experiences. The objectives of ACM-L are to:

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Link snapshots as frames to form a dynamic, moving picture of the evolving world with traceability
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Capture the workflow from state changes to provide trends and lessons learned from past changes and experience
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Present situational outlooks with view progression across snapshots in addition to views of single snapshots
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Represent and track changes to the underlying model for knowledge management and application support
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Provide a unified dynamic model integrating conceptual, semantic, logical, temporal, spatial and uncertain relationships in information and events
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Serve as a basis for interactive user interface


ACM-L 2009 is a follow-up to the 1st International Workshop on ACM-L (ACM-L 2006), which was held in conjunction with the ER 2006 in Tucson, Arizona. Results of ACM-L 2006 can be found in the following Proceedings:

Peter P. Chen and Leah Y. Wong (eds.) Active Conceptual Modeling of Learning, First International Workshop on Active Conceptual Modeling of Learning (ACM-L 2006), Tucson, Arizona, November 8, 2006, Proceedings. Lecture Notes in Computer Science #4512, Springer, January, 2008.



Workshop topics include (but are not limited to):

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Ontological and epistemological foundations of ACM-L

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Incorporate cultural and cognitive aspects in conceptual model

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Mathematical framework for conceptual modeling with time, space, perspective, uncertainty dimensions

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Mapping of constructs among conceptual models

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Ontology evolution in ACM-L

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Management of continuous changes

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Modeling of learning activities

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Learning as dynamic processes

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Complex event processing in creating high-level events from numerous low-level events

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Relationships between concept construction, learning and training with respect to knowledge generation, processing, and integration

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Continuous knowledge acquisition and generation

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Modeling of multi-media information and changes based on cognitive paradigm

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Combined episodic and semantic memories for structuring historical information

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Active archived data and storage management

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Executable active conceptual model

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Pattern recognition, context awareness and changes, and trend detection over time

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Visualization of change

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Query of conceptual systems and other kind of conceptual structures

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Query of historical data

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Information provenance

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Origin and source of information

Publication of Proceedings



Proceedings of all ER 2009 workshops will be published as part of the Springer-Verlag, Lecture Notes in Computer Science series (LNCS), as a single volume separate from the ER Conference proceedings. ACM-L 2009 Proceedings will be available for all workshop participants. Springer-Verlag publishes a full-text electronic version of LNCS in parallel with the printed version, so the electronic source of accepted papers following the Springer format will be required.



Format and Submission of Papers



Format of submissions will be the same as for the other ER 2009 workshops (10 pages in LNCS standard format) following the ER09 and Springer guidelines. Submissions must be in English and should be e-mailed to leah.wong@navy.mil by Friday, 15 May 2009. Detailed format requirements can be found in http://www.springer.com/computer/lncs/lncs+authors?SGWID=0-40209-0-0-0. All correspondence with authors will be via e-mail so make sure your submission includes an e-mail address for the corresponding author.


Key Dates for ACM-L 2009 Workshop



* Friday, 15 May 2009 - Submission of papers
* Friday, 5 June 2009 - Notification of acceptance for presentation
* Friday, 19 June 2009 - Submission of camera-ready copy