ProSWIP: Property-Based Data Access for Semantic Web Interactive Programming

Homoceanu, Silviu; Wille, Philipp; Balke, Wolf‐Tilo

doi:10.1007/978-3-642-41335-3_12

Cited by 5 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors build on the theory of Formal Concept Analysis and caching mechanisms to improve precision and recall for conceptual queries. A similar approach but in the context of Linked Open Data is presented in [30]. Both approaches assume that a shared, domain-specific vocabulary is available.…”

Section: Related Workmentioning

confidence: 99%

Querying concepts in product data by means of query expansion

Homoceanu

Balke

2014

Web Intelligence and Agent Systems: An International Journal

Self Cite

View full text Add to dashboard Cite

The Web has become the primary source of information containing both structured and unstructured information. A good example is e-commerce where products are usually described by technical specifications (structured data) and textual user reviews (unstructured data). Both sources of information complement each other, covering quantifiable as well as perceived aspects of each product. In fact, for most searches users will have more or less abstract concepts in mind, as opposed to clear cut categorical information. In this paper, we develop a novel approach to reveal implicit product features for querying, by combining structured product data with natural-language product reviews. Using a self-supervised learning technique we progressively build a query-aware representation of the product domain under consideration. This representation can then effectively be used for intuitive querying. We performed extensive experiments confirming the effectiveness of our approach over real world product data. In particular, our evaluations show vastly improved precision and recall over the respective IR techniques.

show abstract

Section: Related Workmentioning

confidence: 99%