際際滷shows by User: MartinCzygan / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MartinCzygan / Wed, 08 Jun 2016 13:56:25 GMT 際際滷Share feed for 際際滷shows by User: MartinCzygan Build your own discovery index of scholary e-resources /slideshow/build-your-own-discovery-index-of-scholary-eresources/62855622 slides-160608135625
Providing discovery systems for eresourcesis essential for library services today. Commercial search engine indices have been a widely used solution in recent years. In contrast, running an own discovery service is undoubtedly a challenging task but promises full control over data processing, enrichment, performance and quality. Building an own aggregated index of eresourcesincludes gathering the right mix of data sources, clearing licensing issues, and negotiating data availability. Technically, these threads are resumed by data harvesters, filters and workflow orchestration tools.]]>
Providing discovery systems for eresourcesis essential for library services today. Commercial search engine indices have been a widely used solution in recent years. In contrast, running an own discovery service is undoubtedly a challenging task but promises full control over data processing, enrichment, performance and quality. Building an own aggregated index of eresourcesincludes gathering the right mix of data sources, clearing licensing issues, and negotiating data availability. Technically, these threads are resumed by data harvesters, filters and workflow orchestration tools.]]> Wed, 08 Jun 2016 13:56:25 GMT /slideshow/build-your-own-discovery-index-of-scholary-eresources/62855622 MartinCzygan@slideshare.net(MartinCzygan) Build your own discovery index of scholary e-resources MartinCzygan Providing discovery systems for eresourcesis essential for library services today. Commercial search engine indices have been a widely used solution in recent years. In contrast, running an own discovery service is undoubtedly a challenging task but promises full control over data processing, enrichment, performance and quality. Building an own aggregated index of eresourcesincludes gathering the right mix of data sources, clearing licensing issues, and negotiating data availability. Technically, these threads are resumed by data harvesters, filters and workflow orchestration tools. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-160608135625-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Providing discovery systems for eresourcesis essential for library services today. Commercial search engine indices have been a widely used solution in recent years. In contrast, running an own discovery service is undoubtedly a challenging task but promises full control over data processing, enrichment, performance and quality. Building an own aggregated index of eresourcesincludes gathering the right mix of data sources, clearing licensing issues, and negotiating data availability. Technically, these threads are resumed by data harvesters, filters and workflow orchestration tools.
Build your own discovery index of scholary e-resources from Martin Czygan
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