Interactive Query Construction for Keyword Search on the Semantic Web

Zenz, Gideon; Zhou, Xuan; Minack, Enrico; Siberski, Wolf; Nejdl, Wolfgang

doi:10.1007/978-3-642-25008-8_5

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…There have been recently several complicated mechanisms converting from natural language to semantic one (Cimiano, Haase, & Heizmann, 2007;Lopez, Pasin, & Motta, 2005). For example, QUICK search engine (Zenz, Enrico, Wolf, & Wolfgang, 2012) generates a complete semantic query space, that is, a set of all possible semantic queries for a given set of keywords. It first identifies all possible query patterns called query template, then generates semantic queries by binding keywords to query templates.…”

Section: Do Extractionmentioning

confidence: 99%

Smart interactive search for Vietnamese disease by using data mining-based ontology

Nguyen

Lam

et al. 2017

Journal of Information and Telecommunication

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In disease information retrieval, usually, users only know a top of basic information about the disease such as headache and high fever symptoms. Most search engines rely on keyword search and do not return exact results because they only literally find the records matching with the keywords of the queries. In this work, we propose a novel interactive search for disease information by using data mining-based ontology. In particular, a human disease ontology is used as a knowledge base to semantically recognize the input for the search engine. The association rule is applied to generate associated relations among keywords (including symptoms, derives from, located in …) for interactive query refinement. A Bayesian-based ranking algorithm is also proposed to arrange the search result. Prospectively, our approach is valuable not only to increase the accuracy of searching human disease, but also provide a significant approach in data mining ontology. ARTICLE HISTORY

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Section: Do Extractionmentioning

confidence: 99%

Smart interactive search for Vietnamese disease by using data mining-based ontology

Nguyen

Lam

et al. 2017

Journal of Information and Telecommunication

View full text Add to dashboard Cite

show abstract

“…Users using keyword based query input has an advantage that the query can be posed quickly ignoring the grammatical mistakes. Some interfaces help users in constructing the query [8].…”

Section: Review Of Natural Language Interfaces To Ontologiesmentioning

confidence: 99%