最初
发表于 2025-3-27 00:12:39
Roee M. Francos,Alfred M. Brucksteine between expressiveness and efficiency of maintenance. In particular, we characterize the associated implication problem axiomatically, and algorithmically by a low-degree polynomial time decision procedure. Our class is precious as small extensions in expressiveness result in intractability.
Adenoma
发表于 2025-3-27 04:15:01
Nasiru Aboki,Ilche Georgievski,Marco Aielloinformation at various abstraction levels such as items, time and locations, and then discuss the use of SQL query language to manipulate RFID databases. Finally, we present a graph data model called a Tag Movement Graph (TMG) to capture the moving information of tagged objects.
间谍活动
发表于 2025-3-27 05:44:35
Andrew Barber,Peter Culmer,Jordan H. Boyleform-based interfaces into a conceptual schema. The same principles can also serve as a basis to support the inverse translation process that aims at deriving a set of form-based interfaces from a conceptual schema.
恶臭
发表于 2025-3-27 11:56:59
Adding Meaning to Your Steps (Keynote Paper)is keynote paper intends to provide the foundations of a semantic approach to data about movement. It focuses on the definitions of the most important concepts about mobility data, concepts that are frequently used but rarely rigorously defined.
大量杀死
发表于 2025-3-27 16:19:06
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ASSET
发表于 2025-3-27 19:06:04
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Fecundity
发表于 2025-3-28 00:43:10
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collateral
发表于 2025-3-28 03:16:55
Multilingual Ontologies for Cross-Language Information Extraction and Semantic Searchuage information extraction and semantic search. Further, results from an experimental evaluation of ontology-based query translation and extraction accuracy are remarkably good given the complexity of the problem and the complications of its implementation.
Panacea
发表于 2025-3-28 10:13:45
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施加
发表于 2025-3-28 10:55:16
Developing RFID Database Models for Analysing Moving Tags in Supply Chain Managementinformation at various abstraction levels such as items, time and locations, and then discuss the use of SQL query language to manipulate RFID databases. Finally, we present a graph data model called a Tag Movement Graph (TMG) to capture the moving information of tagged objects.