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Titlebook: Semantic Technology; Third Joint Internat Wooju Kim,Ying Ding,Hong-Gee Kim Conference proceedings 2014 Springer International Publishing Sw

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樓主: exterminate
41#
發(fā)表于 2025-3-28 16:38:07 | 只看該作者
42#
發(fā)表于 2025-3-28 19:06:03 | 只看該作者
43#
發(fā)表于 2025-3-29 02:54:42 | 只看該作者
44#
發(fā)表于 2025-3-29 03:04:43 | 只看該作者
45#
發(fā)表于 2025-3-29 08:20:33 | 只看該作者
Semantic Web Services for University Course Registrationvices Modeling Language (WSML) to semantically specify the functionality of web services for on-line course registration, a goal for consuming the provided functionality, as well as the ontologies needed for a shared terminology between the service and?goal.
46#
發(fā)表于 2025-3-29 13:08:53 | 只看該作者
Context-Aware Music Recommendation with Serendipity Using Semantic Relationscreate the ‘renso’ relation on the Music Linked Data. Our system proposes a way of finding suitable but novel music according to the users’ contexts. Finally, preliminary experiments confirm balance of accuracy and serendipity of the music recommendation.
47#
發(fā)表于 2025-3-29 18:36:21 | 只看該作者
48#
發(fā)表于 2025-3-29 23:29:26 | 只看該作者
Implementing Mobility Service Based on Japanese Linked Datausing the service and compared with conventional services. As a result, the possibilities of Linked Data to respond to various queries easily and to apply for information services by crossing some domains were explored.
49#
發(fā)表于 2025-3-30 00:32:18 | 只看該作者
Federating Heterogeneous Biological Resources on the Web: A Case Study on TRP Channel Ontology Constusing a single request. As a practical scenario, we generate RDF triples from TRIP Database by referring to TRP Ontology designed to have links with UniProt. A federated way of collecting contents from two different services is proposed.
50#
發(fā)表于 2025-3-30 05:17:23 | 只看該作者
Ontology-Based Information System.1 endpoint that enables organization users to view and edit the data, while outside users can get read-only access to the endpoint. The system prototype is implemented and successfully tested with Latvian medical data ontology with 60 classes and imported 5 000 000 data-level triples.
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