Extracting Semantic Information for e-Commerce

Charron, Bruno; Hirate, Yu; Purcell, David; Rezk, Martín

doi:10.1007/978-3-319-46547-0_27

Cited by 19 publications

(8 citation statements)

References 23 publications

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“…Data semantics is not just to reveal the actual content of the message but also to determine the framework of words used in the subject matter. It is found that adding suitable semantic and syntactic classification systems to the questions significantly improved question classification efficiency [10,38]. The researchers used various information sources to calculate "semantic-relatedness" between words [38].…”

Section: Semantic Importance In Information Retrievalmentioning

confidence: 99%

Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques

Ali

2022

IJCIT

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The Web contains an enormous amount of information, which is managed to accumulate, researched, and regularly used by many users. The nature of the Web is multilingual and growing very fast with its diverse nature of data including unstructured or semi-structured data such as Websites, texts, journals, and files. Obtaining critical relevant data from such vast data with its diverse nature has been a monotonous and challenging task. Simple key phrase data gathering systems rely heavily on statistics, resulting in a word incompatibility problem related to a specific word's inescapable semantic and situation variants. As a result, there is an urgent need to arrange such colossal data systematically to find out the relevant information that can be quickly analyzed and fulfill the users' needs in the relevant context. Over the years ontologies are widely used in the semantic Web to contain unorganized information systematic and structured manner. Still, they have also significantly enhanced the efficiency of various information recovery approaches. Ontological information gathering systems recover files focused on the semantic relation of the search request and the searchable information. This paper examines contemporary ontology-based information extraction techniques for texts, interactive media, and multilingual data types. Moreover, the study tried to compare and classify the most significant developments utilized in the search and retrieval techniques and their major disadvantages and benefits.

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Section: Semantic Importance In Information Retrievalmentioning

confidence: 99%

Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques

Ali

2022

IJCIT

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“…Since access points are typically based on materialised special purpose database views, to make a new view or to modify an existing one, IT staff typically use external tools, such as Feature Manipulation Engine (FME). 5 The process of making such view consists of the three ETL steps (extracting, transforming, and loading data) Building such ETL processes that establishes an access point for a complex information need consists of a myriad of data access and processing steps, many of which require deep knowledge of the data that is being processed and how it is represented. Figure 2 shows an excerpt of an FME process that establishes an access point for gathering the information for the information need about overlapping core samples that we took from Equinor and anonymised.…”

Section: Finding Data Is As Hard As Finding Oilmentioning

confidence: 99%

“…In the last decade a number of standardised machine processable ontology languages have been developed, where the most popular are W3C standardised RDF (w3.org/RDF/), OWL 2 (w3.org/TR/owl2-overview/). Ontologies have been successfully used in many applications, including Web search [3], Medicine [4], E-commerce [5], Media [6], etc.…”

Section: Introductionmentioning

confidence: 99%

Finding Data Should be Easier than Finding Oil

Kharlamov

Skjaveland

Mailis

et al. 2018

2018 IEEE International Conference on Big Data (Big Data)

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The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive companies such as Equinor, a Norwegian multinational oil and gas company with more than 20,000 employees, gathering such data is not a trivial task due to the growing size and complexity of corporate information sources. As a result, the data gathering task is often the most time-consuming part of the decision making process, in particular when it comes to the work processes of Equinor's exploration geologists that should find in a timely manner new exploitable accumulations of oil or gas in given areas by analysing data about these areas. In this work we present our experience in addressing this data challenge tast at Equinor. We have developed and deployed at Equinor a semantic data access system that relies on the Ontology Based Data Access (OBDA) approach. Our system is based on our solid theoretical contributions and has been extensively evaluated at Equinor.

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“…e NERC system will have a lot of di culty in using such non-atomic products. Work has also been done on ontologies that are focused more on the catalog side [2,15]. Catalog-side ontologies are closer to searchside ontologies as compared to supply-side ontologies but are still not perfectly aligned with a search perspective.…”

Section: Ontologymentioning

confidence: 99%

Towards a simplified ontology for better e-commerce search

Kutiyanawala,

Verma,

Zheng

2018

Preprint

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ery Understanding is a semantic search method that can classify tokens in a customer's search query to entities like Product, Brand, etc.is method can overcome the limitations of bag-of-words methods but requires an ontology. We show that current ontologies are not optimized for search and propose a simpli ed ontology framework designed specially for e-commerce search and retrieval. We also present three methods for automatically extracting product classes for the proposed ontology and compare their performance relative to each other.

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Extracting Semantic Information for e-Commerce

Cited by 19 publications

References 23 publications

Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques

Review of Semantic Importance and Role of using Ontologies in Web Information Retrieval Techniques

Finding Data Should be Easier than Finding Oil

Towards a simplified ontology for better e-commerce search

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