Taxonomic content is the key to next generation Content Intelligence solutions. Building a taxonomy for most organizations can take 2-3 hours per concept, resulting in taxonomies too small and restricted to cover the entire business effectively. Previous attempts at automation failed to provide taxonomies with the embedded knowledge that experts provide.
Intellisophic has developed a disruptive technology for creating deep, authoritative reference content on any subject area. Unlike other methods for taxonomy development which are limited by the expense of corporate librarians and subject matter experts, Intellisophic content is machine developed, leveraging knowledge from the world’s most respected reference works. Through this patented process, we have created the largest library of taxonomic content, covering several million topics defined by hundreds of millions of terms.
Our taxonomy library is constantly growing with the addition of new titles and publishing partners. Currently contributing to our library are esteemed reference publishers like John Wiley & Sons, Thomson Gale, Oxford University Press, Pharmaceutical Press, Woodhead Publishing, WorldBook Encyclopedia, Encyclopedia Britannica, C. Hurst and Company, Aspen Publishers and American Society of Microbiology.
The taxonomies are delivered in a variety of commonly used formats such as XTM (XML Topic Map) format, OWL (Web Ontology Language) and RDF (Resource Description Framework). Intellisophic can also customize this format for specific applications such as Inxight, Mark Logic, Convera, Verity, among others. These taxonomies provide a table of contents for navigating the concept tree as well as concept signatures that are essential for identifying all concept instances in a text document. In other words, the taxonomies are rich with content, organized for effective usage and easily integrate into existing applications.
Intellisophic provides taxonomic content and technology that enables the systematic use of unstructured information. Detailed taxonomies are necessary to derive understanding from unstructured data sources. Without taxonomies, companies are left dealing with unstructured data as a collection of words. By using detailed taxonomies, businesses can map taxonomies into structured entities knows as concepts.
The heart of Intellisophic’s technology is the identification of concepts inside unstructured data. A concept is any abstract thought or idea. A concept is defined by a collection of words and phrases that distinguish one concept from another within a specific taxonomy.
For example, a concept like ‘balance sheet’ in a business taxonomy might look like: liabilities, balance sheet, owners, realizable, balance, sheets, consolidated, total current, amount of cash, balance sheets, payable, assets, current, current liabilities, historical cost, current assets, owners equity, consolidated balance sheet, valuation, sheet
These terms, when taken together, define the distinguishing characteristics for this concept. A collection of concepts that define a specific area of knowledge is referred to as a concept taxonomy. Typically, this is represented as a hierarchy of concepts.
A number of taxonomies grouped together in the same business area, define a subject area. Intellisophic technology uses concept taxonomies to identify the existence of concepts in unstructured data, whether or not the word ‘balance sheet’ is contained in the data. Once identified, these concept attributes are stored in a relational database where they can be queried for search and understanding, trend analysis, data mining or enrichment with other structured data.
Intellisophic taxonomies can be used by themselves or in combination with company specific taxonomies. Intellisophic’s team of experts will evaluate the customer and pick the right combination of taxonomies to meet the business needs. Taxonomy details can be found by following the sector of interest below: