Computer Science ›› 2015, Vol. 42 ›› Issue (4): 147-150.doi: 10.11896/j.issn.1002-137X.2015.04.029

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Multi-layer Temporal Data Model Supporting Multi-modality Fusion Entity Search in Heterogeneous Information Spaces

YANG Dan, CHEN Mo, SUN Liang-xu and WANG Gang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Faced with a large number of associated heterogeneous entities such as projects,authors,papers,products,movies with temporal information in heterogeneous information spaces,an entity and association centered multi-layer temporal data model,named multi-layer temporal entity network MTE-Network,was proposed which captures temporal information of entities and associations effectively.Moreover,multi-modality query model of entity search was proposed which supports users to search entities and related entities of any entity class in heterogeneous information spaces,and supports entity search on entity level,entity aggregation level and time line,and it can satisfy the information needs of users’ multi-modality entity search.The experimental results on real data set demonstrate the feasibility and effectiveness of the proposed temporal data model and query model.

Key words: Heterogeneous information spaces,Multi-modality fusion,Entity search,Temporal data model

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