0000000000860581

AUTHOR

Joe Raad

0000-0002-7891-7738

showing 4 related works from this author

A Survey on Ontology Evaluation Methods

2015

International audience; Ontologies nowadays have become widely used for knowledge representation, and are considered as foundation for Semantic Web. However with their wide spread usage, a question of their evaluation increased even more. This paper addresses the issue of finding an efficient ontology evaluation method by presenting the existing ontology evaluation techniques, while discussing their advantages and drawbacks. The presented ontology evaluation techniques can be grouped into four categories: gold standard-based, corpus-based, task-based and criteria based approaches.

Ontology Inference Layer[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingComputer sciencecomputer.internet_protocolProcess ontology[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)OWL-S[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]EvaluationInformation retrievalOntologyOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]computerOntology alignmentSemantic web
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$$PO^2$$ - A Process and Observation Ontology in Food Science. Application to Dairy Gels

2016

This paper focuses on the knowledge representation task for an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The originality of this project is to combine data from different disciplines like food composition, food structure, sensorial perception and nutrition. Available data sets are described using different vocabularies and are stored in different formats. Therefore there is a need to define an ontology, called \(PO^2\) (Process and Observation Ontology), as a common and standardized vocabulary for this project. The scenario 6 of the NeON methodology was used for building \(PO^2\) and the core component is implemented i…

VocabularyKnowledge representation and reasoningComputer scienceProcess (engineering)media_common.quotation_subject010401 analytical chemistry04 agricultural and veterinary sciencesOntology (information science)040401 food science01 natural sciences0104 chemical sciencesTask (project management)0404 agricultural biotechnologyOriginalityProduction (computer science)Food scienceLayer (object-oriented design)media_common
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A Survey on how to Cross-Reference Web Information Sources

2015

International audience; The goal of giving information a well-defined meaning is currently shared by different research communities. Once information has a well-defined meaning, it can be searched and retrieved more effectively. Therefore, this paper is a survey about the methods that compare different textual information sources in order to determine whether they address a similar information or not. The improvement of the studied methods will eventually lead to increase the efficiency of documentary research. In order to achieve this goal, the first category of methods focuses on semantic measure definitions. A second category of methods focuses on paraphrase identification techniques, an…

Measure (data warehouse)Information retrievalEvent (computing)Computer scienceSimilarity Definition02 engineering and technologyDocumentary ResearchParaphraseCross-referenceIdentification (information)[ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]Semantic similaritySemantic Relatedness[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]020204 information systemsSemantic Measures0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSemantic integrationMeaning (existential)Cross-Reference Web Information SourcesEvent ExtractionParaphrase Identification
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A Use Case of Data Integration in Food Production

2018

International audience; This paper presents a use case about knowledge representation and integration of data from different domains in food science. An ontology named PO 2 DG, the Process and Observation Ontology for the production of Dairy Gels, has been designed in order to provide a shared vocabulary for domain experts. The available data have been semantically structured using PO 2 DG and are stored in an RDF repository named PO 2 DG dataset. This use case identifies some of the challenges when dealing with a multi domain representation problem, gives some hints about possible solutions and suggests some further work.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrievalexperimental observations represen- tationontology based data integrationprocess representation[INFO.INFO-WB] Computer Science [cs]/WebACM: H.: Information Systems[INFO.INFO-WB]Computer Science [cs]/Web[INFO]Computer Science [cs][INFO] Computer Science [cs]food science[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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