Abstract
Next-generation enterprise management systems are beginning to be developed based on the Systems of Engagement (SOE) model. We visualize an SOE as a set of entities. Each entity is modeled by a single parent document with dynamic embedded links (i.e., child documents) that contain multi-modal information about the entity from various networks. We address the problem of efficiently retrieving the top-k entities in an SOE for keyword-based queries. In particular, we propose an efficient bitmap-based approach for quickly identifying the candidate set of entities, whose parent documents contain all queried keywords. Moreover, we propose the two-tier HI-tree index, which uses both hashing and inverted indexes, for efficient document relevance score lookups. Our performance evaluation with both real and synthetic datasets demonstrates the overall effectiveness of our proposed schemes.
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Mondal, A., Padhariya, N., Mohania, M. (2020). Towards Efficient Retrieval of Top-k Entities in Systems of Engagement. In: Huang, Z., Beek, W., Wang, H., Zhou, R., Zhang, Y. (eds) Web Information Systems Engineering – WISE 2020. WISE 2020. Lecture Notes in Computer Science(), vol 12343. Springer, Cham. https://doi.org/10.1007/978-3-030-62008-0_4
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DOI: https://doi.org/10.1007/978-3-030-62008-0_4
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