conceptCEWS for SharePoint

Content Enrichment Web Services. When Search Results Do Matter, regardless of where content is stored.

conceptCEWS for SharePoint

Content continues to grow exponentially. There are a myriad of ways that this growth impacts business performance unless it is proactively managed. One of the issues is the continual degradation of search. The impact of poor search is immediate and impacts productivity, decision making, speed to market, sales, and customer support. For years, it has been virtually ignored. The time has come when search results do matter.

The Content Enrichment Web Services (CEWS) is a content processing framework for search that supports both Content Enrichment Web Service (CEWS) in SharePoint 2013/2016 and the Pipeline Extensibility feature in FAST Search for SharePoint 2010. Using CEWS, custom processing of documents occurs as they are indexed. conceptClassifier for SharePoint’s automatically generated multi-term metadata is classified providing rich compound terms to the search engine index. The resulting classifications are stored directly in the search index and are available in the SharePoint search refinement panel as navigational aids.

search-structured-databases

Do your users need to access multiple search interfaces to obtain the information they need?

identification-of-content-for-reuse

Do you need better search to support e-Discovery, FOIA, intelligence or paid for research applications?

concept-searching

Would you see the benefit in concept based searching, and navigational aids to assist users?

Key Features

Key Features

By leveraging the conceptClassifier for SharePoint platform through the availability of connectors for content management and search solutions, Concept Searching fills the gap in allowing content enrichment for all other source types. Out of the box Support for SharePoint 2010, 2013, 2016 and File System Sources.

  • Adds multi-word terms and phrases to the search engine index, making concept searching an enterprise reality
  • Provides consistent, accurate, and non-subjective metadata through elimination of end user tagging
  • Supports navigational, location, and discovery search (typically not found in semantic search)
  • Improves Information Literacy (IL) as the technologies are not based on end user search skills
  • Infrastructure savings is achieved through a reduced on-premises server footprint
  • Provides unified search experience for the end-users
  • Achieves enterprise information governance
  • Enables concept based searching
  • Eliminates end user tagging increasing accuracy of tagged content and improving productivity
  • Eliminates the development of pipeline stages, testing, and human resources
Key Benefits

Key Benefits

The functionality enables automatically generated metadata to be auto-classified to one or more taxonomies. Migration, search, records management, data security and protection of confidential information, eDiscovery, and enterprise wide information governance can also be achieved through better understanding of content wherever it resides.