8.swiss_sharepoint_club_digital_asset_mgt_in_sharepoint_2013_krum_haesli_botsbits
•Transferir como PPTX, PDF•
1 gostou•645 visualizações
The document discusses implementing a digital asset management system using SharePoint 2013. It covers key SharePoint enterprise search features like enhanced user interfaces, display templates, analytics and suggestions, and query rules. It also discusses video and media features in SharePoint 2013 like thumbnails, players, and supported formats. The document recommends using out-of-the-box SharePoint features for DAM, including search, taxonomy-based classification, and remote blob storage. It concludes with contact information for the author.
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (20)
Destaque
Destaque (7)
Semelhante a 8.swiss_sharepoint_club_digital_asset_mgt_in_sharepoint_2013_krum_haesli_botsbits
Semelhante a 8.swiss_sharepoint_club_digital_asset_mgt_in_sharepoint_2013_krum_haesli_botsbits (20)
Mais de Swiss SharePoint Club
Mais de Swiss SharePoint Club (7)
Último
Último (20)
8.swiss_sharepoint_club_digital_asset_mgt_in_sharepoint_2013_krum_haesli_botsbits
- 1. Krum Haesli, BotsBits SA Implementing Digital Asset Management with SharePoint 2013
- 2. http://botsbits.com http://botsbitsverse.com Digital Content Management 3D Design Models Digital Fabrication & Prototyping
- 3. The ITC DAM Solution Overview
- 4. Key SharePoint Enterprise Search Features Enhanced User-Friendly Interface Display Templates Analytics and Suggestions Query Rules
- 5. Enterprise Search: User Interface Fluid Search Results Content Previews Mixing of Content Flyout panels
- 6. Enterprise Search: Display Templates Specific display of search results based on the type of content Custom display templates can be easily created using standard JavaScript Huge potential for enhancing and improving search user interface
- 7. Enterprise Search: analytics and suggestions Search Engine, tracks clicks and provides suggestions Search Engine captures user behaviour and makes recommendations Analytics and Suggestions can be used to enhance content discovery on the Intranet
- 8. Enterprise Search - Query Rules responding intelligently to users with Query Rules acting Recognize a product, promote the Knowledge Center Resources Recognize an image search, query for images of cameras Recognize a top Video search, show videos of the Surface understanding Learn more about our products Find pictures of our cameras What can the Surface do? communicating
- 9. SharePoint 2013 Video Features
- 10. SharePoint 2013 Video Features - Thumbnails
- 11. SharePoint 2013 Video Features - Player
- 12. SharePoint 2013 Supported Media Formats
- 13. How Remote BLOB Storage Works 2. Enforce Business Logic 1. Save Request 3. Save Blob 4. Write Blob 5. Return BLOB ID 6. Save Metadata & BLOB ID 7. Back to User
- 14. The SharePoint 2013 Platform
- 15. DAM Home Page
- 16. Searching/ Filtering / “Faceted Search”
- 17. New album creation and classification
- 18. Assets Uploading Create Album than upload images: – Using standard Browser Interface (Drag & Drop) – Using Windows Explorer , where album appears as a folder
- 19. Asset Classification - Taxonomy
- 20. Asset Classification – Legacy Data
- 21. Assets Approval
- 23. Assets Sharing
- 27. LIVE DEMONSTRATION International Trade Centre’s Digital Asset Management Media Library http://dam.itc-cci.net/
- 28. Usability Issues
- 29. Key Points / Lessons Learned • SharePoint search is a good platform to build robust and efficient applications • Use as much as possible “out-of-the-box” standard features, provided by the SharePoint platform • Use well defined taxonomy/assets classification based on the standard SharePoint Metadata service • Classify assets with external Legacy Data, using the SharePoint BCS Services • Remote Blob Storage should be correctly configured and maintained • Site blob storage should be correctly configured . Check SharePoint Log files for any cache critical errors.
- 30. Contact Information: Email: krum.haesli@botsbits.ch LinkedIn: http://ch.linkedin.com/in/haesli Twitter: @haesli http://sharepointsimply.com/
Notas do Editor
- SharePoint 2013 Search Based Application: Search Verticals for Albums, Videos, Images, Audio and Illustrations Custom Search Display templates to show relevant assets information Custom Search “Facets”/Filters display templates to narrow down results SharePoint 2013 Assets Library to manage content Remote Blob Storage (RBS) to store large media content outside the database Comprehensive Digital Assets classification taxonomy – more than 10’000 terms Bulk classification based on Assets Albums (based on SharePoint Document Sets) Standard SharePoint publication approval process
- Faceted navigation is the process of browsing for content by filtering on refiners that are tied to category pages. Faceted navigation lets you specify different refiners for category pages, even when the underlying page displaying the categories is the same. Faceted search From Wikipedia, the free encyclopedia Faceted search, also called faceted navigation or faceted browsing, is a technique for accessing information organized according to a faceted classification system, allowing users to explore a collection of information by applying multiple filters. A faceted classification system classifies each information element along multiple explicit dimensions, enabling the classifications to be accessed and ordered in multiple ways rather than in a single, pre-determined, taxonomic order.[1] Facets correspond to properties of the information elements.[2] They are often derived by analysis of the text of an item using entity extraction techniques or from pre-existing fields in a database such as author, descriptor, language, and format. Thus, existing web-pages, product descriptions or online collections of articles can be augmented with navigational facets. “Faceted search” is the rubrick for a site that allows users to refine search results by categories (aka “facets”). This kind of interface appears on a lot of sites (Kayak and Kudzu are two examples that come to mind). If not implemented with care, faceted metadata search interfaces can be a huge problem SEO-wise, as they create an almost infinite set of pages for a search engine robot to get hung up on. Consider the following sets of category metadata on a restaurant search: - restaurant - chinese - italian - quiet - romantic - pleasanton By clicking around on these categories you can get a huge number of results (6*5 factorial? – any Einsteins out there?) such as: - Chinese restaurant - Quiet Chinese restaurant - Romantic Chinese restaurant - Romantic quiet Chinese restaurant - Romantic quiet Chinese restaurant in Soho - Romantic quiet Chinese Italian restaurant in Soho - etc. So you get a bunch of problems – too many pages, confusing navigation and probably a duplicate page problem to boot as a lot of these pages tend to have the same data on them. So how do you solve this and still offer faceted search? 1. Figure out which are your most important pages among the million possible combinations 2. Create linear paths for the search engine robots to follow using noindex tags, nofollow tags and your robots.txt file 3. Make sure that no page that you are pointing the bots to has more than one of each data type (e.g. quiet but not romantic, and vice-versa) – unless you think having two of a type is good for SEO, but that would involve some complex planning and coding. 4. Remember that if you already have this problem you will need to purge the problem pages from the search engines’ indexes before you try to fix it using bot herding or else the bots will never revisit your problem pages. For more on faceted search check out the following: Intelligenx Drupal faceted search MOSS faceted search Sharepoint faceted search Endeca Technologies