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Semantic Relationship Based Knowledge Management and Reuse in Collaborative Product Development [chapter]

Ibrahim Assouroko, Guillaume Ducellier, Benoît Eynard, Philippe Boutinaud
2012 IFIP Advances in Information and Communication Technology  
The paper proposes a semantic relationship based management approach to improve product Beginning Of Life (BOL).  ...  In such a context of knowledge management, methods and tools for information extraction and visualization play a major role, given their capacity to extract, represent and organize engineering information  ...  The implementation of the proposed approach is made through Semantic Web (SW) technics and graph concepts, to allow a semantic integration of a set of heterogeneous information and knowledge sources (from  ... 
doi:10.1007/978-3-642-35758-9_1 fatcat:rv5rq6s5sbgjvfmgoceyovbqbu

Summarizing information by means of causal sentences through causal graphs

C. Puente, A. Sobrino, J.A. Olivas, E. Garrido
2017 Journal of Applied Logic  
The first one is focused in the extraction, filtering and selection of those causal sentences that could have relevant information for the process.  ...  The aim of this paper is to introduce a set of algorithms able to configure an automatic answer from a proposed question and summarize information from a causal graph.  ...  For example, "smoking" and "tobacco use" have the similar meaning in the graph so one of these concepts could be redundant.  ... 
doi:10.1016/j.jal.2016.11.020 fatcat:kqwa2cec2rbphg2knjjy46nkqi

Ontology Based Image Retrieval in the Compressed Domain

2017 International Journal of Science and Research (IJSR)  
In this research DataGenie used ODBC to connect to a MySQL database.The research demonstrates that accuracy for each class greater than 50 % except for cat and emu classes which have of Life Object Super  ...  In additional to demonstrating potential for high accuracy, the Image ontology proposed can also be used to visualize the relationship of each instance with its slot.  ...  Ontology plays a central role in the Semantic Web and it provides formal models of domain knowledge that can be exploited by intelligent agents.  ... 
doi:10.21275/art20175613 fatcat:c6uprnhnpzghlpqy772ndxrbvy

Page 7549 of Mathematical Reviews Vol. , Issue 2002J [page]

2002 Mathematical Reviews  
Summary: “Formal concept analysis gives a mathematical defini- tion of a formal concept.  ...  Summary: “Possibilistic logic bases and possibilistic graphs are two different frameworks of interest for representing knowledge.  ... 

RDF 1.1: Knowledge Representation and Data Integration Language for the Web

Dominik Tomaszuk, David Hyland-Wood
2020 Symmetry  
We discuss RDF serializations, including formats with support for multiple graphs and we analyze RDF compression proposals.  ...  Finally, we present a summarized formal definition of RDF 1.1 that provides additional insights into the modeling of reification, blank nodes, and entailments.  ...  We thank Anna Gomolińska for comments that greatly improved the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym12010084 fatcat:eh4bronv25ce5l64hmg7zfl3r4

Towards Automated Semantic Explainability of Multimedia Feature Graphs

Stefan Wagenpfeil, Paul Mc Kevitt, Matthias Hemmje
2021 Information  
To achieve this, we define a semantic extension to syntactic multimedia feature graphs and introduce a set of production rules for phrases of natural language English expressions.  ...  In this paper, we describe the extension of such a feature graph to represent the meaning of such multimedia features and introduce a formal context-free PS-grammar (Phrase Structure grammar) to automatically  ...  However, it should be noted that Semantic Graph Codes lead to a further compression of the Graph Code matrix, as synonyms, or common knowledge can be removed from the Graph Code, as it is already represented  ... 
doi:10.3390/info12120502 fatcat:prpnkjaklvfjxi6twvkjga2ige

An Approach to Evaluate Class Assignment Semantic Redundancy on Linked Datasets [chapter]

Leandro Mendoza, Alicia Díaz
2017 Communications in Computer and Information Science  
In this work we address the concept of semantic redundancy in linked datasets considering class assignment assertions.  ...  Finally, we performed an evaluation on the DBpedia dataset using SPARQL queries for data redundancy checks.  ...  Both works mention the idea of semantic compression by removing derivable knowledge.  ... 
doi:10.1007/978-3-319-55209-5_7 fatcat:xb3eavdz3ncxxd3e2rgsa4xr6m

Conceptual Cluster-based Large-scale Ontology Compression Approach

Yang Feng, Qin Ziting
2016 International Journal of Database Theory and Application  
In the domains of Artificial Intelligence, Knowledge System and Information System, ontology is "a formal, clear and detailed explanation of sharing concept system" [7] .  ...  The concept of cluster in space is reduced, and the "noise concept" which is independent of the mapping is removed, and the purpose of the large-scale ontology compression is realized.  ...  Acknowledgements The work of this paper is supported by Natural Science Foundation of Jilin Province in 2016, "Research on large scale ontology mapping mechanism in cloud computing environment".  ... 
doi:10.14257/ijdta.2016.9.7.22 fatcat:yvvupgtlbzgitg4npjgl77n3h4

A Framework for Query Processing over Compressed Knowledge Bases

Floriano Scioscia, Eufemia Tinelli
2011 2011 IEEE 12th International Conference on Mobile Data Management  
Compression techniques are essential, because of the verbosity of standard XMLbased languages for ontologies and semantic annotations. Beyond compression ratio, query efficiency is a key aspect.  ...  This paper presents a framework for querying knowledge bases expressed in OWL, serialized in RDF/XML syntax and compressed with a homomorphic encoding, in order to allow query evaluation without requiring  ...  knowledge entailed by a given Knowledge Base (KB) of asserted concepts, relationships and facts.  ... 
doi:10.1109/mdm.2011.24 dblp:conf/mdm/SciosciaT11 fatcat:dnhcrcswlzdjngksgtw3d4oi6i

Merging Open Knowledge Extracted From Text With Mergilo

Misael Mongiovì, Diego Reforgiato Recupero, Aldo Gangemi, Valentina Presutti, Sergio Consoli
2016 Zenodo  
This paper presents MERGILO, a method for reconciling knowledge extracted from multiple natural language sources, and for delivering it as a knowledge graph.  ...  graph representing their reconciled knowledge.  ...  Project MARIO Managing active and healthy aging with use of caring service robots.  ... 
doi:10.5281/zenodo.1204402 fatcat:tdxxtogpxva4rp7324uui2ivpm

Knowledge-Based Decision Support in Healthcare via Near Field Communication

Giuseppe Loseto, Floriano Scioscia, Michele Ruta, Filippo Gramegna, Saverio Ieva, Agnese Pinto, Crescenzio Scioscia
2020 Sensors  
This paper presents an innovative Decision Support System (DSS), based on a semantic enhancement of Near Field Communication (NFC) standard.  ...  Nevertheless, unlocking their potential to support the most knowledge-intensive medical tasks requires to go beyond mere item identification.  ...  Knowledge Graph Modeling The Entity-Relationship diagram in Figure 3 provides a high-level view of the Knowledge Graph (KG) underlying the proposed framework.  ... 
doi:10.3390/s20174923 pmid:32878204 fatcat:df5ifmrmzrf5ffvjaua2h6p4ka

SEQUIN: a grammar inference framework for analyzing malicious system behavior

Robert Luh, Gregor Schramm, Markus Wagner, Helge Janicke, Sebastian Schrittwieser
2018 Journal in Computer Virology and Hacking Techniques  
To facilitate the interpretation and analysis of APTs, we present SEQUIN, a grammar inference system based on the Sequitur compression algorithm that constructs a context-free grammar (CFG) from string-based  ...  Grammar inference paired with visual analytics (VA) techniques offers a powerful foundation for the automated extraction of behavioral patterns from sequential event traces.  ...  The approach combines a condensed formal definition with the generation of knowledge linked to the information security and malware analysis domains.  ... 
doi:10.1007/s11416-018-0318-x fatcat:mx2ivpzxwnce5d3gp2myf6qrqe

FCA in a Logical Programming Setting for Visualization-Oriented Graph Compression [chapter]

Lucas Bourneuf, Jacques Nicolas
2017 Lecture Notes in Computer Science  
The contributions of this paper are twofold. First, we formulate and study this issue in the framework of Formal Concept Analysis.  ...  Royer et al. introduced in 2008 Power graph analysis, a dedicated program using classes of nodes with similar properties and classes of edges linking node classes to achieve a lossless graph compression  ...  Théret (Inserm) for providing us the networks used in the results section. We would also like to express our gratitude to the reviewers for their feedbacks.  ... 
doi:10.1007/978-3-319-59271-8_6 fatcat:j7dhxcnpnjc63apn3fqeahi66e

Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching

Ha-Nguyen Tran, Erik Cambria, Amir Hussain
2016 Cognitive Computation  
The most popular way to represent common-sense knowledge is in the form of a semantic graph.  ...  In the context of sentic computing [3], in particular, common-sense is represented as a semantic network of natural language concepts interconnected by semantic relations.  ...  SenticNet is a commonsense knowledge graph of about 100,000 nodes, which is primarily used for sentiment analysis [2] .  ... 
doi:10.1007/s12559-016-9418-4 fatcat:uqrsiafu2fg2zdeghpccdv5ylu

A CLUSTERED SEMANTIC GRAPH APPROACH FOR MULTI-DOCUMENT ABSTRACTIVE SUMMARIZATION

Atif Khan, Naomie Salim, Waleed Reafee, Anupong Sukprasert, Yogan Jaya Kumar
2015 Jurnal Teknologi  
This paper proposes a clustered semantic graph based approach for multi-document abstractive summarization.  ...  of graph represent the PASs and the edges correspond to the semantic similarity weight between the vertices.  ...  Acknowledgement This work is supported by the Higher Education Commission (HEC), Islamia College Peshawar (Chartered University), Pakistan and Soft Computing Research Group (SCRG) of Universiti Teknologi  ... 
doi:10.11113/jt.v77.6491 fatcat:zhuxgbmfavfkvjhsbuu4qhjsem
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