=Paper=
{{Paper
|id=Vol-1849/paper4
|storemode=property
|title=An ontology-based solution for xml query response enrichment
|pdfUrl=https://ceur-ws.org/Vol-1849/paper4.pdf
|volume=Vol-1849
|authors=Abdelmadjid Larbi,Bachir Seddiki,Ismail Larbi,A. Merzoug
}}
==An ontology-based solution for xml query response enrichment==
https://ceur-ws.org/Vol-1849/paper4.pdf
Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017
An Ontology-based solution for XML query response
enrichment
Larbi Abdelmadjid Seddiki Bachir, Larbi Ismail, Merzoug A.
Computer Science Department Computer Science Department
UDL SBA ENERGARID Laboratory
EEDIS Laboratory UTM Bechar
ENERGARID Laboratory Algeria
UTM Bechar Html_bachir@yahoo.fr, larbismail@gmail.com,
Algeria Cinformatique@gmail.com
Amdlarbi@gmail.com
Abstract— The use of ontologies for the enrichment (expansion) of the user query can be a solution to solve the problem of semantic
variations, also for our case in the case where the object sought (drugà is not found, Of similar products by taking into account the contours
related to the sick profile and the orientations of the physician and the semantics given by the pharmaceutical ontology. The ontologies offer
resources in the form of semantic relations, they allow to extend the field To search for a query, which results in improved search results
Keywords—XML query , response, enrichment, ontology
I. INTRODUCTION
In recent years the database research domain has concentrated on XML (eXtensible Markup Language) as a flexible
hierarchical model suitable to represent huge amounts of data with no absolute and fixed schema, and a possibly irregular and
incomplete structure[1].
Ultimately, it is expected that applications deployed on the Internet may lead reasoning using the knowledge stored on the web .
So, we aim to exploit the richness of relationships semantics provided by ontologies to adapt the user query and improve its
response
II. THE ONTOLOGY CONCEPT
Gruber [2] introduced the ontology notion as "an explicit specification of a onceptualization“, Borst. A. has slightly modify the
definition as follows: "an explicit and formal specification of a shared conceptualization“. Ontologies are used in many fields.
Areas identified in 1998 by Guarino are engineering knowledge, qualitative modeling, language engineering, databases design,
information retrieval, information extraction, management and the organization of knowledge. One of the biggest projects based
on the use of ontologies is add to a real web layer enabling knowledge research information at the semantic level and at the
simplest lexical and / or syntactical level.
III. STATE OF ART
There are many works including the ontology for treating the problem of including the semantic to the query [3],
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Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017
Figure 1. Semenatic Query Transformation Using ontologies
or for using semantic query over heterogeneous databases [4], or for answering queries using views[5]
Figure 2. An ontology-based system for semantic query Over heterogeneous databases
IV. DESIGN OF THE PROPOSED SOLUTION
The entry of the proposed solution is a written query in SQL. A first processing consists in segmenting the
query and searching for the predicate value indicating the name of the drug. The following figure (see figure
1) shows the steps of the solution:
1. The system receives the patient's profile
2. Calculating the similarity of the concepts close to the drug derived from the ontology
3. Rewriting the patient's request
4. Searching for the rewritten query response by viewing the XML database
5. Display the response of the request.
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Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017
Figure 3. Proposed solution
Figure 4. Ontology Structure
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Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017
V. ILLUSTARTIVE EXAMPLE
With the help of the editor Protege2000 we can create our ontology following the information given by the expert.
Figure 5. Proposed solution
Figure 6. Proposed solution
The application supports multiple paths to get results in this example there are two voices:
1. Direct Request. In this case the application directly accesses the database.
2. Semantics Query: Accesses the ontology query, regenerate other queries against the XML database. In this case the resulting
query will closer to the original query domain and in the user selection.
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Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017
Figure 7. Proposed solution
It can be seen from the example that there is a correct result ie represents the execution of the main query directly on the basis of
XML data, and other results represent the query execution generated by the use of ontology.
VI. CONCLUSION
Our query expansion mechanism exploits the richness of relationships semantics provided by ontologies. Its adaptation to the user
by the through prototypicality (represented by the terminology, by weights on the terms) allows you to customize both the
extension query input the amount of results provided. Our solution allows us to customize the user query by patient requirements
and directed by the doctor on one hand and according to the concepts provided by the terminological ontology in the other
(validated by pharmaceutical expert) in order to have a comprehensive response. The first results are encouraging and it is
estimated the continuity of this project in the future.
REFERENCES
[1] Mirjana mazuran, Elisa quintarelli, and Letizia tanca, “Data mining for xml query-answering support, ieee transactions on knowledge and data
engineering”, 2011
[2] Gruber, T. R. “ A translation approach to portable ontology specifications. Knowledge acquisition”, 5, (2):199-220, 1993.
[3] Necib.C.B and Freytag .JC. , “Semenatic Query Transformation Using ontologies” . 2005
[4] Chen, Donglin, “An ontology-based system for semantic query over heterogeneous databases”, 2009
[5] Alon Y. Levy ,”Answering Queries Using Views”, 2000
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