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COGOM: Cognitive Theory Based Ontology Matching System
2016
Procedia Computer Science
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The process of generating ontology alignments through ontology matching techniques purely lies on how the concepts and relationships are modeled. ...
The proposed ontology matching system is adaptive in nature because of the cognitive based knowledge expression and the computational overhead of generating alignments is improved by forming quality clusters ...
As this paper aims at proposing a cognitive based ontology matching system the formal theory of "Concept Algebra" is used. ...
doi:10.1016/j.procs.2016.05.237
fatcat:njhrngian5acrdrrdhzj254aoe
Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System
2015
The Scientific World Journal
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Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. ...
The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. ...
The Scientific World Journal 9 Furthermore, the hope of this research work motivates implementing fuzzy theory and neural network methods to build fuzzy ontology from unstructured data automatically. ...
doi:10.1155/2015/414910
pmid:25922851
pmcid:PMC4397492
fatcat:odn2nn5nvffr3jzb5fgsb7eoey
Interactive Techniques to Support Ontology Matching
[chapter]
2010
Schema Matching and Mapping
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However, these techniques are far from perfect and when the use case requires an accurate matching, humans must be involved in the process. ...
There are many automatic approaches for generating matches between ontologies and schemas. ...
The clusters represent an abstraction of the original ontology graph; moreover, clusters are colored based on their potential concept similarity with the other ontology. ...
doi:10.1007/978-3-642-16518-4_2
fatcat:chyhcyqgkve27gj2y57zrx6dwe
Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)
2012
Dagstuhl Reports
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A major focus in the design of Semantic Web ontology languages used to be on finding a suitable balance between the expressivity of the language and the tractability of reasoning services defined over ...
This involves work on ontology modularization and context-awareness, but also approaches from ecological psychology such as affordance theory which also plays an increasing role in robotics and AI. ...
We explore one aspect of meaning, the identification of matching concepts across systems (e.g. people, theories, or cultures). ...
doi:10.4230/dagrep.2.5.93
dblp:journals/dagstuhl-reports/GentnerHHJK12
fatcat:xbh6owcklvcgplcllplbbgvuhe
Semantic Mining based on graph theory and ontologies. Case Study: Cell Signaling Pathways
2016
CLEI Electronic Journal
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Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. ...
In this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. ...
Acknowledgements Project CDCHTA I -1407-14 -02 -B from the Universidad de Los Andes, for their financial support. PhD. ...
doi:10.19153/cleiej.19.2.6
fatcat:mgfjr4vzoza3zlk6uty3qrvwya
Towards knowledge modeling and manipulation technologies: A survey
2016
International Journal of Information Management
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The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4 ...
) cognitive knowledge base. ...
Cognitive knowledge base has also been used to develop AutoLearner, a machine learning system and a cognitive simulator. ...
doi:10.1016/j.ijinfomgt.2016.05.022
fatcat:hrvswtcsxzdgxdlhim4xtfggkm
Ontology-based text summarization. The case of Texminer
2014
Library hi tech
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Texminer entails a combination of several techniques, including: socio-cognitive user models, Natural Language Processing, disambiguation and ontologies. ...
After processing a corpus, the system was evaluated using as a reference various clustering evaluation experiments conducted by Arco (2008) and Hennig et al. (2008) . ...
Simultaneous Keyword Identification and Fuzzy Clustering of Text Documents (FuzzySKWIC), which uses a technique of fuzzy cluster analysis (Berry, 2004) . ...
doi:10.1108/lht-01-2014-0005
fatcat:yc4rve5wv5fmnlbgcjttfarbkm
Review of Machine Learning Approaches to Semantic Web Service Discovery
2010
Journal of Advances in Information Technology
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This paper provides an exhaustive review of machine learning approaches used for Web Services discovery and frameworks developed based on these approaches. ...
Various Web service discovery frameworks are applying machine learning techniques like clustering, classification, association rules, etc., to discover the services semantically. ...
Some approaches are based on argument definitions matching [9, 10] , document classification techniques [11, 12] and semantic annotations matching [13] . ...
doi:10.4304/jait.1.3.146-151
fatcat:lhdvgen5bfh2jhb37nrx6emptm
What's in an Image?
[chapter]
2001
Lecture Notes in Computer Science
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independent from the domain ontology a domain scientist uses. ...
This paper proposes a multi-level ontology for images, combining both field and object approaches and distinguishing between image and user ontologies. ...
Acknowledgments The research of Gilberto Câmara and Antônio Miguel Monteiro is supported ...
doi:10.1007/3-540-45424-1_32
fatcat:pxwwxfflb5e6xh4yth2zayjkvi
Visualizing Internetworked Argumentation
[chapter]
2003
Computer Supported Cooperative Work
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et al., 2000) , semantic web services (e.g. ontology-based reasoning, Li et al., 2002) , and recent work on distributed collective practices (why and when individuals in a community of practice are willing ...
Still at a relatively early stage, our project is bringing to bear on this challenge a networked representational environment (a digital library server based on an argumentation ontology (Buckingham Shum ...
We are beginning to apply techniques based on graph theory to see what phenomena of interest they can detect in a claims network. ...
doi:10.1007/978-1-4471-0037-9_9
fatcat:pjcha5toajbrbhtr6sed6uljqu
Proposed Approach to Build Semantic Learner Model in Adaptive E-Learning
2012
International Journal of Computer Applications
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First step is domain concept filtering in which concepts and items of interests are compared to the domain ontology to check the relevant items to the selected learning domain using ontology based semantic ...
Term definitions and relations are used, provided by WordNet ontology, to perform domain-specific concepts as category labels for the semantic learner models. ...
The mechanism used for identifying relevant items is built based on a newly introduced concept of ontology-based semantic similarity. ...
doi:10.5120/9377-3859
fatcat:munthed3jfdkfjzlth2dafmeou
Ontology based complex object recognition
2008
Image and Vision Computing
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A major element of our approach is a visual concept ontology composed of several types of concepts (spatial concepts and relations, color concepts and texture concepts). ...
This paper shows how a new object categorization system is set up by a knowledge acquisition and learning phase and then used by an object categorization phase. ...
We propose an hybrid approach mixing knowledge-based and learning techniques. The role of the knowledge-based techniques is to make explicit domain knowledge in a symbolic knowledge base. ...
doi:10.1016/j.imavis.2005.07.027
fatcat:ndugxxdn55aybgnnae5vmsosce
CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation
[chapter]
2011
Lecture Notes in Computer Science
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We utilize a case structure based on ontologies reflecting the perceptions of the parties in dispute. ...
We implement a case based reasoning approach to mediation integrating analogical and commonsense reasoning components that allow an artificial mediation agent to satisfy requirements expected from a human ...
In fact, our analogical reasoning approach can be extended to discover these categories in a supplied case base in an unsupervised manner, via clustering, using the SME structural match scores as a distance ...
doi:10.1007/978-3-642-23291-6_28
fatcat:gtwy33auwva3nmfdnp6rwr5ufu
A Cognitive Knowledge-based Framework for Social and Metacognitive Support in Mobile Learning
2017
Interdisciplinary Journal of Information, Knowledge, and Management
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Methodology : Based on the characteristics of knowledge in an m-learning system, the cognitive knowledge base is proposed for knowledge elicitation and representation. ...
Findings: The effectiveness of any knowledge management system is grounded in the technique used in representing the knowledge. ...
The foundation of the cognitive theory is based on Piaget's theory of cognitive development and Vygotsky's theory on social cognitivism. ...
doi:10.28945/3670
fatcat:itdsqglcqzd57eajhzkn3jd3g4
Abstracts of Recent PhDs
2007
Knowledge engineering review (Print)
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The communication protocol detects when communication is ineffective, and applies techniques for ontology exchange to build a shared ontology of minimal size. ...
Furthermore, different agents may regard different concepts as relevant that cause their ontologies to differ in granularity and scope. ...
SOCCER (similar ontology concept clustering) system is mostly a learning-based solution, integrated with some rule-based techniques; and (3) the Compatibility Vector system, although not an ontology-matching ...
doi:10.1017/s0269888907001245
fatcat:vafmiwrganfnhjv2765tdlk6te
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