Available as an Add-in it supports all versions of SharePoint On-premises. Real-time bidirectional population of term sets improves accuracy, reduces maintenance, and the costs of manual entry. Designed as a reusable enterprise framework that improves search, enforces compliance, delivers intelligent migration, provides proactive identification of security exposures, and secure collaboration.
Would the ability to consistently retrieve relevant results in search be of value?
Would you like to be able to tag and classify content accurately without human intervention?
Are you concerned about data breaches and noncompliance regarding records management policies?
Looking for technologies that are easy to install, use, and manage, with little system overhead?
Have you been postponing migration based on past experiences such as budget overruns, time, and costs?
The platform is an infrastructure component providing real-time read/write capabilities with the term store. Classification on upload, workflows, and content type updating are easily implemented. Developed as deploy once, utilize multiple times, it can be integrated with any SharePoint or .Net application.Core Technology White Paper
Concept based searching requires no end user training, provides navigation by taxonomy hierarchy, and supports multiple search methods. In any project that uses metadata you will experience improved outcomes, reduced effort and time, and rapid deployment.Technology Benefits White Paper
This table provides an overview of all Concept Searching product platforms and the components for each platform.
conceptClassifier for SharePoint supports all versions of SharePoint, SharePoint Online, Office 365, and OneDrive for Business. The table below illustrates the functionality and features available in SharePoint and Office 365. Please visit our conceptClassifier for Office 365 page for more information.
For more information on a specific feature please use the hover function over the specific Feature/Function.
conceptClassifier for SharePoint is based on an open architecture with all APIs based on XML and Web Services. Transparent access to system internals including the statistical profile of terms, is standard. conceptClassifier for SharePoint supports SharePoint 2007, 2010, and 2013. conceptClassifier for Office 365 supports Office 365. The base platform is installed as a feature set and comprises the following components.
Both automated and manual classification is supported to one or more term sets within the Term Store and across content hubs.
This is an advanced enterprise class, easy-to-use taxonomy and term set development and management tool. It integrates natively with the SharePoint Term Store reading and writing in real-time ensuring that the taxonomy/term set definition is maintained in only one place, the SharePoint Term Store. Designed for use by Subject Matter Experts, the Term Store and/or taxonomy is easily developed, tested, and refined.
Term Set Migration tools are also a component of conceptTaxonomyManager that enable term sets to be developed on one server (e.g. on-premise server) and then migrated to another server (e.g. Office 365 server) in an incremental fashion and preserving all GUIDs. This is a key requirement in migration.
Watch the webcast – Concept Searching’s conceptTaxonomyManager
Licensed for the sole use of building and refining the taxonomy/term set the engine provides automatic semantic metadata generation that extracts multi-word terms or concepts along with keywords and acronyms. conceptSearch is an enterprise search engine and is sold as a separate product.
Provides SharePoint integration and an additional multi-value picklist browse taxonomy control enabling users to combine free text and taxonomy browse searching.
Provides scalability to accommodate size of end user community.
Provides scalability of classification to increase speed of classification throughput especially when classification on the fly is an important requirement.
All the functions you need to start gaining control over your unstructured content are included in the base platforms. Our clients have discovered the unique and varied uses of the technology to solve a wide variety of content management challenges. Below is a list of the base platform and optional products that are needed to solve your particular business process challenge and leverage your technology investment.
Why wait? Improve your business processes and positively impact your bottom line starting today.
SharePoint has no ability to automatically update the content type for records management or privacy protection and route to the appropriate repository
SharePoint has no taxonomy management tools to manage, test, and validate taxonomies based on the Term Store
SharePoint has no auto-classification capabilities
SharePoint has no ability to generate semantic metadata and surface it to search engines to improve search results
SharePoint has no ability to automatically create and store classification metadata
SharePoint has no ability to automatically tag content with vocabulary or retention codes for records management
SharePoint has no ability to provide intelligent migration capabilities based on the semantic metadata within content, identify previously undeclared documents of record, unidentified privacy exposures, or information that should be archived or deleted
SharePoint has no ability to provide granular and structured identification of people, content recommendations, and organizational knowledge assets
When evaluating a technology purchase and the on-going investment required to deploy, customize, and maintain, the costs can scale quickly. Because conceptClassifier for SharePoint is an enterprise infrastructure component, you can leverage your investment through:
The real value of your investment includes both technology and the demonstrable ROI that can be generated from improving business processes. conceptClassifier for SharePoint has been deployed by clients to solve individual or multiple challenges including:
Concept Searching has a current Enterprise Authority to Operate (ATO) US Air Force, a current Enterprise Certificate of Networthiness (CoN) US Army, and has been deployed on the SIPR, NIPR, and DISA networks.
Concept Searching’s industry unique compound term processing technology delivers outcomes that are not achieved by any other classification engine. Compound term processing means that Concept Searching’s statistical engine can understand, out-of-the-box, the incremental value of keywords, multi-word fragments, and compound terms. As a result, it can identify concepts resident within an organization’s own information repositories that are highly correlated to particular topics. With the identification of these highly correlated topics in the form of keywords, multi-word fragments and compound terms the result is automatically generated intelligent metadata that is unique to the organization. By using these compound terms in any application that requires metadata, the outcomes are highly accurate, because the ambiguity inherent in single words is no longer an issue.
A search for ‘triple heart bypass’ will locate documents about this topic even if this precise phrase is not contained in any document. A concept search using compound term processing can extract the key concepts, in this case “triple heart bypass” and use these concepts to retrieve relevant documents containing concepts such as ‘heart surgery’, ‘coronary artery bypass’, or ‘open heart surgery’.
conceptTaxonomyManager remains unique in the industry in features that provide the ability to rapidly and easily change the taxonomy as the organizational needs and requirements change. This is important as a taxonomy must remain fluid as opposed to static and must be managed in a way that facilitates change. The easy to use taxonomy and automatic classification tools create the framework to classify content based on concepts to one or more nodes in the taxonomy or multiple taxonomies. The conceptTaxonomyManager component is included in the base product in all platforms.
conceptTaxonomyManager is a simple yet powerful tool with an intuitive user interface designed for Subject Matter Experts (SME) without the need for IT, Information Scientists, or specific application skills, to build, maintain and validate taxonomies for the enterprise. This feature has been shown to reduce taxonomy development by up to 80% (client source data).
Eliminating complex Boolean rules and the need for training sets the taxonomy nodes can be automatically generated from the compound terms found in the document corpus. The Subject Matter Expert (SME) has full control of the terms to be used as well as the weighting of the term based on its relevancy. This enables a much more robust taxonomy as the terms are suggested based on the organization’s own content and can offer the SME new terms from the relevant documents that may not have been identified. The Clues can also be assigned a score or weight, either positive or negative to improve the classification. Clues can also be assigned a Type. Types include standard, case-sensitive, metadata, phonetic, and RegEx (Regular Expression).
Automatic document movement feedback enables the SME to see the cause and effect on changing the clue weightings for a node in the taxonomy. The user can also search within the refined node and bring back documents from the whole corpus now classified against the node. The system will indicate if the change has increased the score, reduced the score as well as identify documents that will no longer be classified and the new documents that will be classified.
This feature is a requirement for organizations that have many taxonomy operators, extremely large collections of documents, and where taxonomy management is a critical business process. This feature can be implemented on any number of servers and several taxonomy managers can be assigned to a server to ensure the level of throughput needed. Real time locking mechanisms are used to make nodes of the taxonomy inaccessible to other taxonomy managers while the node is being edited. The taxonomy managers can visually see when a node is locked and who has locked it as well as when it becomes available. The Distributed Taxonomy Management feature is totally transparent to the end user and all locking and unlocking of the nodes by the taxonomy managers are coordinated by the central server.
The product provides a full security model enabling lock down of nodes, branches, and complete taxonomies to particular users and/or groups of users. Also supports rollback to the previous state.
conceptTaxonomyWorkflow is a powerful add-on product to automate manual business processes. It serves as a strategic tool managing migration activities and content type application across multiple SharePoint and non-SharePoint farms and is also platform agnostic. This add-on component delivers value specifically in migration, data privacy, records management or any application or business process that requires workflow capabilities. It is required to apply an action on a document and optionally, automatically apply a content type and route to the appropriate repository for disposition.
Concept Searching is the only available solution that addresses the challenges in managing unstructured and semi-structured data in SharePoint and non SharePoint environments.
Our intelligent metadata enabled solutions address the following challenges with one set of technologies, leverages an enterprises investment in SharePoint, and reduces resources to maintain and manage the solution.
Enterprise Search enables concept based searching by providing the search engine index with the compound terms and semantic metadata.
Records Management is improved through the elimination of end user tagging, automatic declaration of records, and taxonomy workflow capabilities.
Data Privacy and the protection of confidential data as defined by the organization is identified in real-time and routed to a secure repository for disposition.
Intelligent Migration is accomplished through the identification and auto-classification of the unstructured or semi-structured data to one or more taxonomies.
Text Analytics can be performed to extract organizationally defined descriptors and concepts from diverse repositories.
Secure Collaboration ensures only information that is appropriate is shared with staff, partners, and stakeholders.
eDiscovery and FOIA time and costs are reduced through identification of highly detailed information and conceptually similar information that typically would not be found.