All White Papers
Check out all of our white papers below
- Words matter
- Humans continuously curate knowledge in the form they know best: natural language.
A large part of the world’s information is unstructured
Even looking at Wikipedia and its structured siblings DBpedia and Wikidata, it becomes evident that much more information is generated in unstructured form even today that is codified in formats accessible to computation. The fate of the semantic web painfully illustrates this.
This juncture between query and understanding is where ayfie makes a difference
That means it is available in natural language text, accessible to humans who are willing to invest the time to read it, but inaccessible to any but the most rudimentary automated analysis. As such, unstructured information is still the stepchild of the big data revolution. Words matter but have little value without context.
Unearth the semantic structure behind troves of text and make knowledge accessible to analysis and prediction algorithms even in its most unstructured form. Uncover the meaning in words so they really can matter.
- eDiscovery modules
- Almost all operations in ayfie are based on linguistically motivated document profiles.
eDiscovery sometimes requires the review of hundreds of thousands of documents
Ayfie ingest each one as a sequence of tokens to help ensure each one is always searchable. During the ingestion process, we identify all the relevant terminology in the document. Terminology can consist of entity names, domain vocabulary or individual expressions such as acronyms, measurements, etc. This terminology is often not represented by single terms but by multi-word expressions. (e.g., “revenue sharing agreement” or “Jim McGhee”).
Save and time and money
Ayfie groups these terms together based on spelling variants, inflectional forms and similar methodologies and enriches them with synonyms. The resulting term groups make up the document profile which is a linguistic signature that describes the document content at an abstract level. Term groups result in a faster, more accurate eDiscovery process and yields both time and financial savings for most legal firms. Learn about eDiscovery modules in this whitepaper.
- Boosting relevance with language technology.
- Searching without linguistics is like searching without knowledge.
Search technology has come a long way since the early days of web search. Open source implementations of indexing algorithms and platform distribution are getting better-and-better and have reached a level of excellence that makes them suitable for almost any retrieval application – from enterprise document search to web research engines. Consequently, more and more businesses turn to consultancy companies for custom-made search applications based on their specific content and goals.
Today, with all of the advancements in search, most companies do not deliver an adequate search experience that fits both the data and the users perfectly. The actual user experience with most search engines is hardly better than the standard from the 1990s and early 2000s. How is that possible?
Learn how you can build a better search experience
The answer lay in a misunderstanding about what a search engine as such is capable of — and what it is supposed to be doing. This whitepaper explains some of the core technologies that can help build a better search experience and deliver a more robust and intuitive user experience.