FLOPPIES: A Framework for Large-Scale Ontology Population of Product Information from Tabular Data in E-commerce Stores
| Autor: | Flavius Frasincar, Damir Vandic, Lennart J. Nederstigt, Steven S. Aanen |
|---|---|
| Přispěvatelé: | Econometrics |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
education.field_of_study
Information Systems and Management Database computer.internet_protocol Computer science business.industry Population E-commerce Ontology (information science) computer.software_genre Semantics OWL-S Management Information Systems Arts and Humanities (miscellaneous) Developmental and Educational Psychology Ontology Product (category theory) business education computer Semantic Web Information Systems |
| Zdroj: | Decision Support Systems, 59, 296-311. Elsevier |
| ISSN: | 0167-9236 |
| Popis: | With the vast amount of information available on the Web, there is an urgent need to structure Web data in order to make it available to both users and machines. E-commerce is one of the areas in which growing data congestion on the Web impedes data accessibility. This paper proposes FLOPPIES, a framework capable of semi-automatic ontology population of tabular product information from Web stores. By formalizing product information in an ontology, better product comparison or parametric search applications can be built, using the semantics of product attributes and their corresponding values. The framework employs both lexical and pattern matching for classifying products, mapping properties, and instantiating values. It is shown that the performance on instantiating TVs and MP3 players from Best Buy and Newegg.com looks promising, achieving an F^1-measure of approximately 77%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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