Cross-language hybrid keyword and semantic search

Authors:
David W. Embley;Stephen W. Liddle;Deryle W. Lonsdale;Joseph S. Park;Byung-Joo Shin;Andrew J. Zitzelberger
Affiliations:
Department of Computer Science, Brigham Young University, Provo, Utah;Information Systems Department, Brigham Young University, Provo, Utah;Department of Linguistics and English Language, Brigham Young University, Provo, Utah;Department of Computer Science, Brigham Young University, Provo, Utah;Department of Computer Science & Engineering, Kyungnam University, Kyungnam, Korea;Department of Computer Science, Brigham Young University, Provo, Utah
Venue:
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Year:
2012

Citing 11
Cited 0

Large-scale machine translation: an interlingua approach

IEA/AIE '94 Proceedings of the 7th international conference on Industrial and engineering applications of artificial intelligence and expert systems
A Conceptual-Modeling Approach to Extracting Data from the Web

ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

IEEE Transactions on Knowledge and Data Engineering
CE2: towards a large scale hybrid search engine with integrated ranking support

Proceedings of the 17th ACM conference on Information and knowledge management
Towards Linguistically Grounded Ontologies

ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Semplore: an IR approach to scalable hybrid query of semantic web data

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Hybrid search: effectively combining keywords and semantic searches

ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Expressive and flexible access to web-extracted data: a keyword-based structured query language

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation

Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation
A Survey of Automatic Query Expansion in Information Retrieval

ACM Computing Surveys (CSUR)
Multilingual ontologies for cross-language information extraction and semantic search

ER'11 Proceedings of the 30th international conference on Conceptual modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

The growth of multilingual web content and increasing internationalization portends the need for cross-language information retrieval. As a solution to this problem for narrow-domain, data-rich web content, we offer ML-HyKSS: MultiLingual Hybrid Keyword and Semantic Search. The primary component of ML-HyKSS is a collection of linguistically grounded conceptual-model instances called extraction ontologies. Extraction ontologies can recognize keywords and applicable semantics; when coupled with cross-language mappings at the conceptual level, they enable cross-language information retrieval and query processing. Our experimental results are promising, yielding good results for cross-language information retrieval with contrasting languages, application content, and cultures.