Partially constructed knowledge for semantic query

Wang, Tzone I.; Hsieh, Tung Cheng; Tsai, Kun Hua; Chiu, Ti Kai; Lee, Ming-Che

doi:10.1016/j.eswa.2008.12.030

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…Adolfo [10] fused two ontologies to product a third ontology by the OM (Ontology merging) algorithm without human intervention which can accumulate enough knowledge about a certain topic. Tzone [2] developed a query-based ontology knowledge acquisition system which dynamically constructed user ontology based on FCA to provide proficient answers for users' queries. Vallet et al [4] utilized an ontology based on contextual information to provide personalized content retrieval.…”

Section: Relate Workmentioning

confidence: 99%

A Concept Lattice Merger Approach for Ontology Construction

Han

Wang

et al. 2011

AMR

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The method of merging concept lattice in domain ontology construction can describe the implicit concepts and relationships between concepts more appropriately for semantic representation and query match. In order to enrich semantic query, the paper intends to apply the theory of Formal Concept Analysis (FCA) to establish source concept lattices, through which the domain concepts are extracted from source concept lattices to generate the optimized concept lattice. Then, the ontology tree is generated by lattice mapping ontology algorithm (LMOA) combing some hierarchical relations in the optimized concept lattice. The experiment proves that the domain ontology can be achieved effectively by merging concept lattices and provide the semantic relations more precisely.

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Section: Relate Workmentioning

confidence: 99%

A Concept Lattice Merger Approach for Ontology Construction

Han

Wang

et al. 2011

AMR

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“…For example, Setchi et al [9] develop an image retrieval tool through ontological concepts, Chu et al [10] construct a concept map learning system for education, and Dong et al [11] propose a semantic service search engine for digital ecosystem. Meanwhile, as a knowledge representation form, ontology has been applied in the system development to provide implication query results, such as peer knowledge management system [12] and query-based ontology knowledge acquisition system [13]. In this paper, we are inspired by the idea of domain ontology and apply the definitions of concept and instance in the ontology to establish a subject aware graph in the tourism domain.…”

Section: Introductionmentioning

confidence: 99%

Domain-Oriented Subject Aware Model for Multimedia Data Retrieval

Wang

2013

Mathematical Problems in Engineering

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With the increment of the scale of internet information as well as the cross-correlation interaction, how to achieve accurate retrieval of multimedia data is an urgent question in terms of efficiently utilizing information resources. However, existing information retrieval approaches provide only limited capabilities to search multimedia data. In order to improve the ability of information retrieval, we propose a domain-oriented subject aware model by introducing three innovative improvements. Firstly, we propose the text-image feature mapping method based on the transfer learning to extract image semantics. Then we put forward the annotation document method to accomplish simultaneous retrieval of multimedia data. Lastly, we present subject aware graph to quantify the semantics of query requirements, which can customize query threshold to retrieve multimedia data. Conducted experiments show that our model obtained encouraging performance results.

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