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Titlebook: Resource Discovery; Second International Zoé Lacroix Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Semantic Web.Web Se

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樓主: 宗派
31#
發(fā)表于 2025-3-26 21:06:10 | 只看該作者
32#
發(fā)表于 2025-3-27 03:48:45 | 只看該作者
Immune-Inspired Method for Selecting the Optimal Solution in Web Service Composition,roach models Web service composition as a multi-layered process which creates a planning-graph structure along with a matrix of semantic links. We have enhanced the classical planning graph with the new concepts of service cluster and semantic similarity link. The semantic similarity links are defin
33#
發(fā)表于 2025-3-27 08:50:31 | 只看該作者
Web Database Schema Identification through Simple Query Interface,t a complex query interface with multiple input fields to perform schema identification of the Web databases, little attention has been paid on how to identify the schema of web databases by simple query interface (SQI), which has only one single query text input field. This paper proposes a new met
34#
發(fā)表于 2025-3-27 13:08:37 | 只看該作者
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發(fā)表于 2025-3-27 17:35:23 | 只看該作者
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發(fā)表于 2025-3-27 18:12:16 | 只看該作者
A Provenance-Based Approach to Resource Discovery in Distributed Molecular Dynamics Workflows,ows are resources to be exchanged among scientists but difficult to be efficiently used due to their heterogeneous and distributed nature. Provenance metadata can ease the discovery of these resources. However, keeping track of the execution of experiments and capturing provenance among distributed
37#
發(fā)表于 2025-3-28 00:51:59 | 只看該作者
On Building a Search Interface Discovery System,es for querying the contents of web databases have been recently proposed, one cannot fully utilize them having most search interfaces unlocated. Thus, the automatic recognition of search interfaces to online databases is crucial for any application accessing the deep Web. This paper describes the a
38#
發(fā)表于 2025-3-28 05:10:29 | 只看該作者
Building Specialized Multilingual Lexical Graphs Using Community Resources,ine community users as a main source, therefore, our approach depends on acquiring contributions from volunteers (explicit approach), and it depends on analyzing users’ behaviors to extract interesting patterns and facts (implicit approach). As a generic repository that can handle the collected mult
39#
發(fā)表于 2025-3-28 09:08:17 | 只看該作者
40#
發(fā)表于 2025-3-28 12:54:08 | 只看該作者
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