CurrentProjects
Knowledge Management System
It is a flexible framework that allows using several annotation and retrieval document strategies for Knowledge Management Systems. It provides support to evaluate the usefulness and accuracy of different algorithms and tools, even their possible combinations. The framework offers the possibility to change the annotation and retrieval document strategy, the natural language processing tool, the ontology access tool, the tesauri used in the semantic expansion of the document content, and event, including strategies to update the domain ontology from the unstructured natural language data of the document content. Domain ontologies are frequently used to represent the specific knowledge of the domain in most annotation and retrieval document strategies.
Reference:
Toledo Carlos M.; Ale Mariel; Chiotti Omar; Galli María R. "An Agent-based Architecture for Ontology-driven Knowledge Management". The Fifth International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2011), ISBN 978-974-466-504-1. November 25-27, 2010, Chiang Mai, Thailand [Conference site][Bibtex].-
BPM-KM integration architecture
It is an agent-based architecture for an integration of business process orchestrated by a WfMS with the organizational knowledge repository administered by ontology-driven KM systems. This architecture proactively provides relevant knowledge to tasks, considering their context and stores relevant knowledge in a proper way for future requirements. In case of necessity of more information, also the architecture reactively brings knowledge through natural language queries. Conventional workflows are extended with KM-support automatic tasks that are responsible for retrieving knowledge and storing results.
Reference:
Toledo Carlos M.; Bordini Rafael H.; Chiotti Omar; Galli María R. "Developing a Knowledge Management Multi-Agent System Using JaCaMo". Programming Multi-Agent Systems, Louise Dennis, Olivier Boissier, and Rafael Bordini editors, 7217:41–57. Lecture Notes in Computer Science. ISBN 978-3-642-31914-3. Springer Berlin / Heidelberg, 2012 [Paper link].-
Toledo Carlos M.; Chiotti Omar; Galli María R. “A multi-agent knowledge management system for reactive and proactive knowledge supply” (Chapter 16). Knowledge Management and Drivers of Innovation in Services Industries, Patricia Ordoñez de Pablos and Miltiadis D. Lytras editors, ISBN 9781466609488, IGI Global. [Book web site].-
Onto-DOM (Ontology-based Distributed Organisational Memory)
It is an ontology-driven knowledge management architecture that takes into account autonomy and coordination principles. Such architecture uses an ontology approach to annotate and retrieve information based on a distributed organizational memory strategy that processes the users’ natural language queries.
Reference:
Ale, Mariel A.; Gerarduzzi Cristián; Chiotti Omar, Galli María R. "Organizational Knowledge Sources Integration through an Ontology-Based Approach: The Onto-DOM Architecture", Lecture Notes in Computer Science, Nro: 5288, Pag. 441-450, 2008
Ontology-based knowledge retrieval strategies
Enterprises are inserted in a competitive environment in which knowledge is vital to survive in the current global market. Competition is no longer conceived as it was in traditional markets. In this global market, knowledge is considered an asset that has an economic value for an organization and a strategic resource used to increase productivity and over stability in dynamic competitive environments. Such significance of knowledge implies the need for protecting this vital resource by safeguarding the right access, its persistence over time, and its adequate retrieval. This project includes an organizational memory architecture, and a set of annotation and retrieval information strategies based on domain ontologies that take in account complex words to retrieve information through natural language queries.
Reference:
Toledo Carlos M.; Ale Mariel; Chiotti Omar; Galli María R. “An Ontology-driven Document Retrieval Strategy for Organizational Knowledge Management Systems”. Electronic Notes in Theoretical Computer Science, Volume 281, 29 December 2011, Pages 21-34, ISSN 1571-0661, Elsevier [Paper link].-
Ontology-evolution strategies
It includes a set of ontology evolution strategies for a knowledge management architecture based on distributed organisational memories. These strategy provides support for annotation and retrieval knowledge through natural language queries. The proposed strategies adds new terms to domain ontology during the annotated process of a document, allowing the annotation process execution with an uncomplete ontology.
Reference:
Toledo Carlos M.; Ale Mariel; Chiotti Omar; Galli María R. “An Agent-based Ontology Evolution Strategy for Ontology-driven Knowledge Management Systems”. XXXVI Latin American Informatics Conferences (CLEI 2010), ISBN 978-99967-612-0-1. Asunción Paraguay, October 2010 [ERA Conference Ranking: C].-