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Open AccessJournal ArticleDOI

An Ontology-Based Framework for Modeling User Behavior—A Case Study in Knowledge Management

Liana Razmerita
- Vol. 41, Iss: 4, pp 772-783
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TLDR
Some of the implications of ontology-based user modeling for semantically enhanced KM and, in particular, for personal KM are discussed.
Abstract
This paper focuses on the role of user modeling and semantically enhanced representations for personalization. This paper presents a generic Ontology-based User Modeling framework (OntobUMf), its components, and its associated user modeling processes. This framework models the behavior of the users and classifies its users according to their behavior. The user ontology is the backbone of OntobUMf and has been designed according to the Information Management System Learning Information Package (IMS LIP). The user ontology includes a Behavior concept that extends IMS LIP specification and defines characteristics of the users interacting with the system. Concrete examples of how OntobUMf is used in the context of a Knowledge Management (KM) System are provided. This paper discusses some of the implications of ontology-based user modeling for semantically enhanced KM and, in particular, for personal KM. The results of this research may contribute to the development of other frameworks for modeling user behavior, other semantically enhanced user modeling frameworks, or other semantically enhanced information systems.

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Social Media in Organizations: Leveraging Personal and Collective Knowledge Processes

TL;DR: The findings indicate that social media supports both the personal and collective dimensions of knowledge, while integrating a social collaborative dimension.
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An Ontology-Based Text-Mining Method to Cluster Proposals for Research Project Selection

TL;DR: A novel ontology-based text-mining approach to cluster research proposals based on their similarities in research areas that is efficient and effective for clustering research proposals with both English and Chinese texts and considers applicants' characteristics for balancing proposals by geographical regions.
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A model for profile management applied to ubiquitous learning environments

TL;DR: A model that allows applications to register entities' actions in trails and infer profile information from these trails, using semantic interoperability and thus allowing different applications to share information and infer a unified profile is proposed.
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Adaptive Personalized Diet Linguistic Recommendation Mechanism Based on Type-2 Fuzzy Sets and Genetic Fuzzy Markup Language

TL;DR: An adaptive personalized diet linguistic recommendation mechanism based on type-2 fuzzy logic system (T2 FLS) and genetic fuzzy markup language (GFML) and the discovered linguistic meaning about the meal's health level is presented to show the involved subjects how to make a personalized Diet linguistic recommendation.
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A New Method for Knowledge and Information Management Domain Ontology Graph Model

TL;DR: The experimental results show that the new method can produce significantly better classification accuracy and the high performance demonstrates that the presented ontological operations based on the ontology graph knowledge model are effectively developed.
References
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Journal ArticleDOI

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TL;DR: The objective of KMS is to support creation, transfer, and application of knowledge in organizations by promoting a class of information systems, referred to as knowledge management systems.
Journal ArticleDOI

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TL;DR: This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.
Journal ArticleDOI

SOCIAL DILEMMAS: The Anatomy of Cooperation

Peter Kollock
- 01 Aug 1998 - 
TL;DR: The study of social dilemmas is the study of the tension between individual and collective rationality as discussed by the authors, where individually reasonable behavior leads to a situation in which everyone is worse off.
Book

The adaptive web: methods and strategies of web personalization

TL;DR: This paper presents a meta-modelling architecture for the adaptive web that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging content on the web.
Journal ArticleDOI

Knowledge-Sharing Dilemmas:

TL;DR: In this article, a review of the research on different types of public-good dilemmas provides some indications of the specific interventions that may help organizations encourage the kind of social dynamics that will increase overall knowledge sharing.
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