Information Relevancy
Ardenno offers a dynamic and semantic infrastructure that enables truly relevant knowledge collaboration. While many systems have been developed to facilitate the retrieval of content, most attempt to rank documents in the hope that the documents at the top of the list will actually match user’s search objectives. Unfortunately, these types of searches typically yield a very exhaustive, mostly irrelevant list of documents.
Ardenno believes that the onus of relevant information discovery should be on the software and not on the user. Finding relevant documents through keyword search, concept search or even context search is still not enough—documents are only a part of the picture.
Key developments have improved the quality and true relevancy of search results – most notably, semantic and context-based algorithms. While search engines use only limited keyword tagging and semantic or conceptual indexing, the Ardenno solution is unique in that it also analyzes the activities around information and both personal and business/application context in determining relevance.
Ardenno’s rich metadata considers several objects when establishing relevancy and primacy – documents, people and sources. Not only does Ardenno’s technology automatically distill the content of a document to its bare concepts, it “catalogs” the dynamic interaction over time as pertinent actions are matched to the metadata.