See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/340903109 Toward a Semantic search engine for E-Commerce Article in International Journal of Advanced Trends in Computer Science and Engineering · November 2019 DOI: 10.30534/ijatcse/2019/116862019 CITATIONS READS 2 553 4 authors: Abdelhadi Bahafid Kamal el Guemmat Faculté des Sciences Ain Chock - Casablanca Université Hassan II de Casablanca 4 PUBLICATIONS 3 CITATIONS 43 PUBLICATIONS 78 CITATIONS SEE PROFILE SEE PROFILE EL Habib Benlahmar Mohamed Talea Université Hassan II de Casablanca Université Hassan II de Casablanca 158 PUBLICATIONS 304 CITATIONS 244 PUBLICATIONS 3,009 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Load Balancing in the cloud computing View project System E-orientation View project All content following this page was uploaded by Kamal el Guemmat on 24 April 2020. 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ISSN 2278-3091 Volume 8, No.6, November – December 2019 Abdelhadi BAHAFID et al., International Journal of Advanced Trends in Computer Science and Engineering, 8(6), November - December 2019, 3412 – 3422 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse116862019.pdf https://doi.org/10.30534/ijatcse/2019/11 6862019 Toward a Semantic search engine for E-Commerce Abdelhadi BAHAFID1, Kamal El GUEMMAT2, 3El Habib BEN LAHMAR 3, Mohamed TALEA 1Laboratory of Information Processing, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco, [email protected] 2Laboratory of Information Processing, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco, [email protected] 3Modeling and Information Technology Laboratory, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco, [email protected] 4Laboratory of Information Processing, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco, [email protected] impact of the use of these technologies in e-commerce, ABSTRACT present some of the most used e-commerce search engines and propose a new approach to create a new semantic search E-commerce occupies an important place in the user's lives, it engine, that can be used by the community to achieve our goal makes their lives easier. Allows users to find products, using of creating a first semantic search engine for e-commerce. search engines, which to respond to users, browse all e-commerce web pages, extract and index the information Key words: E-commerce, Search engine, Semantic indexing, displayed on these pages. This extraction is done in a classic Ontology, Web semantic. way by the search engine like any other non-e-commerce page, because it does not recognize the properties of the 1. INTRODUCTION product by parsing the page, it can’t recognize the brand, the type of product ..., it extracts the text and indexes the raw text The web changes, we went from the static web of the origins and the properties of the product are presented as raw HTML. (1.0) to the participative web (2.0), then to the semantic web (3.0) [25] which allows machines to understand the meaning The main problem of e-Commerce is the extraction of of the data and to better exploit them. This progression has relevant information about products and this is because the not been adopted by all areas and its implementation is a bit information is presented in a way that is difficult for machines slow. to understand, which can be explained by the rarity of use of Semantic Web technologies, and the lack of proper standards By "semantics", that does not mean that the machine where HTML does not provide the syntax and semantics of understands in the same way as humans the information information. contained in each of these pages. However, this information (data) can be the subject of a structured language describing Semantic Web Technologies enable machines to interpret this data, and sufficiently standardized to be shareable by data published in a machine-interpretable form on the web, machines. This language is called "metadata" (data which facilitates the extraction, processing and indexing of describing data, or metadata). In the world of documents, this information. Now, only human beings can understand the such "metadata" have existed for a long time. In libraries, product information published online. The emerging bibliographic records of documents contain structured semantic Web technologies have the potential to deeply information describing for example a book - Author = Victor influence the further development of the Internet Economy. Hugo, Title = “Les Misérables”, etc. Author, Title, Publisher, Date, etc. are all standardized metadata in an exchange These different problems cited, the scarcity of semantic format that allows all library systems to share and process this search engines and the lack of work on this subject pushed us information (distinguish editions for example, manage loans, to deepen a bit of our research and try to find more works of acquisitions, etc.). We note that metadata are now often e-commerce and semantic web, study and analyze them to produced at the same time as the data, for example for photos have an idea about the progress of this area. (format, date, geolocation, pattern recognition, color, etc.), with digital cameras, for which we can talk about "embedded" The purpose of this article is to present an overview of the metadata. semantic web technologies used in the field of e-commerce, the different limitations of the current e-commerce, the For e-commerce we notice that the product catalog is the wealth of the e-Commerce and the website is its materialization, the "virtual" showcase for users. This is why 3412 Abdelhadi BAHAFID et al., International Journal of Advanced Trends in Computer Science and Engineering, 8(6), November - December 2019, 3412 – 3422 its maintenance, enrichment and valuation are key success describe an approach to create an ontology based semantic factors for the merchant sites. The complexity of this task is search engine, section 6 result and discussion about the up to the challenge and this work can be quickly tedious and approach and section 7 conclusion and perspective of this cumbersome to improve the visibility of products on paper. mainstream search engines, the natural referencing 2. THE SEMANTIC WEB TECHNOLOGIES techniques [9] being more and more complex to maintain with the increase of the competition, than to expose the data of The Semantic Web is a vision about an extension of the the catalog with the partners who each present particularities existing World Wide Web, which provides software programs in the absence of normalization or for the aggregation with machine-interpretable metadata of the published heterogeneous data from different providers. The lack of html information and data. In other words, we add further data standard to present the heterogeneous e-commerce data in the descriptors to otherwise existing content and data on the Web. same way also complicates robot’s data extraction tasks As a result, computers can make meaningful interpretations which explains the poor quality of search engine results, like the way human process information to achieve their which forces users to spend a lot of time sorting, comparing goals. products between sites and choosing the right product that suits their needs. The ultimate ambition of the Semantic Web, as its founder Tim Berners-Lee sees it, is to enable computers to better All problems cited among which the lack of standard HTML manipulate information on our behalf. He further explains allowing to express the semantics of the various attributes of that, in the context of the Semantic Web, the word “semantic” the product, which implies that the web pages are indexed in a indicates machine-processable or what a machine can do with traditional way, the absence of semantic e-commerce search the data [21]. Whereas “web” conveys the idea of a navigable engine which explains the low proportions of the recall and space of interconnected objects with mappings from URIs to precision, maintenance, enrichment and valuation of product resources. catalogue, spend a lot of time looking for products that meet user needs and the scarcity of the works carried out in this field, not enough research and tries to improve the quality of Semantic Web technologies enable people to create data the e-commerce service, pushed us to study some works done stores on the Web, build vocabularies, and write rules for especially those that deal with all that is semantic search, handling data. Those technologies such as RDF, OWL, tools used to implement the semantic web in e-commerce to SPARQL... highlight the existing and the different possibilities to improve it. 2.1. RDF Faced with these difficulties, semantic Web technologies [6] now offer solutions. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from many researchers and industrial partners. The result of this work is a study of different technologies most used in the semantic web for e-commerce and a new approach proposed in the section “Toward a new semantic search engine” to create the first semantic search engine for e-commerce, using semantic extraction method proposed in other article [4] and GoodRelations ontology, this search Figure 1: RDF Example engine will make life easier for users when searching for different products on the internet. If a user reads this part of code, he can distinguish what is a This article is organized as follows: Section 2 presents an title, who is the author, what is the menu of the site, what is overview of semantic web technologies that allow producers the license of this page.