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“Information Retrieval” is a tool and general education courses of Shandong polytechnic university, It practices of “21st Century Education revitalization plan”, implements of innovative training mode, reconstructs of the curriculum system, focuses on enhancing the student's quality and ability. Our students should be applied talent and have international vision, we need to learn from the American...
Ontology Model and Semantic Link Network (SLN) are two important semantic data models in Semantic Web. Ontology Model can describe network resource in concept space, while SLN can describe various links and relations between network resources. Combination of Ontology Model and SLN can help to improve the effect of network resource retrieval, but data transfer and exchange between ontological knowledge...
The R*-tree, as a state-of-the-art spatial index, has already been applied in many fields. But in high-dimensional space its performance is not better than sequential scan algorithm. To solve time-series retrieval problem, we introduce a new index structure - Hierarchical Index Tree. Each time-series of database is divided into several segments with same length, each segment of which corresponds to...
Retrieving similar data has drawn many research efforts in the literature due to its importance in data mining, database and information retrieval. This problem is challenging when the data is incomplete. In previous research, data incompleteness refers to the fact that data values for some dimensions are unknown. However, in many practical applications (e.g., data collection by sensor network under...
In order to improve the recall of search results and calculate file relevancy in P2P sharing systems, a file clustering algorithm using self-organized k-means method was proposed, which is based on the hierarchical structure of file sharing directories and file names' implication of classification. With uploaded file path information built into the indexes, a tree-structure like vector space model...
Spatial Information Grid (SIG) can share spatial data and computing resources with users from different fields. But there are some semantic problems in SIG. The solutions of these problems face great challenges. Among all the resolutions of semantic problem, Semantic Ontology appears more suitable to solve these semantic problems in SIG. To address the challenges, this paper proposes and analyzes...
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