Machines with good sense: How can computers become capable of sensible reasoning?

Anacleto, Júnia Coutinho; Carvalho, Aparecido Fabiano Pinatti de; Pereira, Eliane Nascimento; Ferreira, André; Carlos, Alessandro José Francisco

doi:10.1007/978-0-387-09695-7_19

Cited by 8 publications

(11 citation statements)

References 10 publications

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“…For this purpose, it was developed in OMCS-Br an on-line review system. In order to perform the review, it was defined a set of rules to assure that common sense knowledge would not be discarded [9]. For example, during the review process the reviewer is not allowed to judge the semantics of a statement because it does not matter if a statement seems to be strange or if it has already been proved scientifically as wrong.…”

Section: A Common Sense Knowledge Collectionmentioning

confidence: 99%

“…The dynamic part is filled out by a feedback process that uses parts of the statements stored in the project knowledge base to compose new templates to be presented. The feedback process used in OMCS-Br website was planned in order to allow varied templates to be generated so that users are able to contribute on several subjects and do not get bored with always filling out the same statement [9]. Still related to the feedback process, considering that the statements stored in the knowledge base will be used to compose templates that will be shown to other contributors, it is important to provide a review process to select the statements that should be used for feedback, in order to avoid the use of bad words or misspelled words.…”

Section: A Common Sense Knowledge Collectionmentioning

confidence: 99%

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Common sense-based applications to advance personalized learning

Anacleto

Carvalho

Ferreira

et al. 2008

2008 IEEE International Conference on Systems, Man and Cybernetics

Self Cite

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Learning process varies according to learners' profiles and cultural contexts in which they are inserted. In order to provide effective learning, educators should contextualize the learning process to their learners' needs from the planning of learning activities, i.e. a group of tasks with educational purpose, to the elaboration of learning content that they will use. This is a way to provide personalized learning to different groups of learners, one of the grand challenges for engineering research in the 21 st century. This paper proposes the use of common sense knowledge for developing computer applications to support educators in contextualizing the learning process to their learners' reality by the analysis of common sense knowledge collected from people with the same profile of the learners. It presents the solutions of OMCS-Br for collecting and using common sense knowledge into computer applications and three educational applications developed for the purpose of helping educators with personalized learning.

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Section: A Common Sense Knowledge Collectionmentioning

confidence: 99%

Section: A Common Sense Knowledge Collectionmentioning

confidence: 99%

Common sense-based applications to advance personalized learning

Anacleto

Carvalho

Ferreira

et al. 2008

2008 IEEE International Conference on Systems, Man and Cybernetics

Self Cite

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“…In short, storing data modeled as a semantic network. His theory have showing useful for the culture sensitive software development [10].…”

Section: Cultural Knowledge Databasementioning

confidence: 99%

Identifying people who are talking about the same topic in social networks, even having a different cultural background

Astolfi

Magalhães

Silva

et al. 2011

RITA

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Social media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users' cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests' results applying the proposal are presented. The approach was adopted in three different topics of discussion and the results suggest that the generated cultural understanding improves the chances of identifying people with similar interests.

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“…CMap Tools [11] and Inspiration [17] use their own dictionaries to retrieve and suggest related concepts to teachers as they insert a new concept in the CM they are elaborating. Cognitor uses the common sense knowledge base of the Brazilian Open Mind Common Sense Project (OMCS-Br) [4].…”

Section: Comparison Between Cognitor and Other Learning Materials mentioning

confidence: 99%

Filling out learning object metadata considering cultural contextualization

Buzatto

Anacleto

Dias

et al. 2009

2009 IEEE International Conference on Systems, Man and Cybernetics

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Abstract-This paper presents Cognitor, a common-sense aided framework for the Cog-Learn Pattern Language that aims to help content editors create and contextualize e-learning content through the generation of hyper documents that comprise pedagogical issues, producing learning objects (LO) compatible with the SCORM standard. Cog-Learn have been developed from Learning and Human-Computer Interaction (HCI) Theories. The goal of Cognitor is to allow for the design of digital learning material with better organization of the content that will be explored by learners, aiming to make easier the interaction with it, addressing HCI issues, as well as the interaction between learners and teachers, addressing Human-Human Interaction (HHI) issues. To reach that, it is important that the LO created in Cognitor be easy to reuse, helping creators to fill out the metadata aiming at addressing cultural issues related to the context in which the LO can be adopted and reused. For that, suggestions coming from a common sense knowledge base automatically appear in some SCORM metadata fields in order to help the task of filling out culturally contextualized metadata.

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Machines with good sense: How can computers become capable of sensible reasoning?

Cited by 8 publications

References 10 publications

Common sense-based applications to advance personalized learning

Common sense-based applications to advance personalized learning

Identifying people who are talking about the same topic in social networks, even having a different cultural background

Filling out learning object metadata considering cultural contextualization

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