{"id":{"repo_id":"uno","oai_identifier":"oai:scholarworks.uno.edu:td-2630"},"canonical_url":"https://search.dev.ndltd.org/etd/uno/oai:scholarworks.uno.edu:td-2630","repository":{"repo_id":"uno","name":"University of New Orleans","base_url":"https://scholarworks.uno.edu/do/oai/"},"display":{"title":"Application of Web Mashup Technology to Oyster Information Services","abstract":"<p>Web mashup is a lightweight technology used to integrate data from remote sources without direct access to their databases. As a data consumer, a Web mashup application creates new contents by retrieving data through the Web application programming interface (API) provided by the external sources. As a data provider, the service program publishes its Web API and implements the specified functions.</p> <p>In the project reported by this thesis, we have implemented two Web mashup applications to enhance the Web site <em>oystersentinel.org</em>: the <em>Perkinsus marinus </em>model and the Oil Spill model. Each model overlay geospatial data from a local database on top of a coastal map from Google Maps. In addition, we have designed a Web-based data publishing service. In this experimental system, we illustrated a successful Web mashup interface that allows outside developers to access the data about the local oyster stock assessment.</p>","abstract_html":"&lt;p&gt;Web mashup is a lightweight technology used to integrate data from remote sources without direct access to their databases. As a data consumer, a Web mashup application creates new contents by retrieving data through the Web application programming interface (API) provided by the external sources. As a data provider, the service program publishes its Web API and implements the specified functions.&lt;/p&gt; &lt;p&gt;In the project reported by this thesis, we have implemented two Web mashup applications to enhance the Web site &lt;em&gt;oystersentinel.org&lt;/em&gt;: the &lt;em&gt;Perkinsus marinus &lt;/em&gt;model and the Oil Spill model. Each model overlay geospatial data from a local database on top of a coastal map from Google Maps. In addition, we have designed a Web-based data publishing service. In this experimental system, we illustrated a successful Web mashup interface that allows outside developers to access the data about the local oyster stock assessment.&lt;/p&gt;","abstract_has_math":false,"creators":["Chuindja Ngniah, Christian"],"institution":null,"degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Shengru Tu"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-12-15T08:00:00Z","date_published":"2012-12-15T08:00:00Z","updated_at":"2026-07-24T05:29:47Z","subjects":["Web mashup","Oysters","Web application","Perkinsus Marinus","Oil Spill","Application Programming Interface","Aquaculture and Fisheries","Databases and Information Systems","Other Computer Sciences"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uno.edu/td/1568","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shengru Tu"]},{"key":"dc:creator","label":"Author","values":["Chuindja Ngniah, Christian"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Web mashup","Oysters","Web application","Perkinsus Marinus","Oil Spill","Application Programming Interface","Aquaculture and Fisheries","Databases and Information Systems","Other Computer Sciences"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uno.edu/td/1568"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Web mashup is a lightweight technology used to integrate data from remote sources without direct access to their databases. 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As a data provider, the service program publishes its Web API and implements the specified functions.</p> <p>In the project reported by this thesis, we have implemented two Web mashup applications to enhance the Web site <em>oystersentinel.org</em>: the <em>Perkinsus marinus </em>model and the Oil Spill model. Each model overlay geospatial data from a local database on top of a coastal map from Google Maps. In addition, we have designed a Web-based data publishing service. In this experimental system, we illustrated a successful Web mashup interface that allows outside developers to access the data about the local oyster stock assessment.</p>"],"dc:identifier":["https://scholarworks.uno.edu/td/1568"],"dc:subject":["Web mashup","Oysters","Web application","Perkinsus Marinus","Oil Spill","Application Programming Interface","Aquaculture and Fisheries","Databases and Information Systems","Other Computer Sciences"],"dc:title":["Application of Web Mashup Technology to Oyster Information Services"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."]},"updated_at":"2026-07-24T05:29:47Z"}