Sprylogics Semantic Search Technology to be integrated into 2ya for Facebook Chat Application
TORONTO, Jan. 21, 2013 /CNW/ - Sprylogics International (TSXV: SPY), ("Sprylogics" or "the Company") announced today that its semantic search technology will be integrated into its chat and search application, 2ya for Facebook in the coming weeks. The Company's proprietary semantic search technology will be integrated into both the IOS and Android versions of the 2ya application, both of which are currently available for download internationally.
Over the last year, the Company has concentrated on evolving its semantic technology into an answer engine that can be easily embedded within mobile applications. To support this initiative, the technology leverages numerous sources of information, including wikipedia/dbpedia, freebase as well as sources of general knowledge that are available in unstructured repositories across the web. This modelling of human language has been applied both to input queries as well as to the understanding of unstructured information in order to best provide explicit answers to questions. The first examples of this technology were tested and then unveiled to the public last year through our private beta of the ask.cluuz.com engine.
Unlike several other voice assistant applications, the Company's answer engine does not depend on external APIs for answers to general questions. Instead, answers are derived either from semantic databases housed on the Company's own servers, or through the Natural Language Processing (NLP) of content obtained directly from web search results. This approach is intended to result in a high degree of accuracy across a wide breadth of general knowledge questions, which has been initially validated through internal comparisons against the results from multiple, publicly available answer engines.
Most recently the Company has concentrated on expanding the types of questions that the solution can reliably and accurately provide answers for. First, the Company implemented support for well defined problems such as mathematical expressions, as well as times in various locales and currency conversion.
In addition, the Company has concentrated on two additional domains: food and movies. These two particular verticals are of significance in that they are commonly required in planning of events and consequently have been prioritized to be featured as part of our 2ya, messaging applications' embeddable technology.
The Company's recent breakthroughs, have resulted in a highly compelling and differentiated natural language answer engine for the movie vertical. Answers about current movies are provided based on movie synopsis, actors, directors, producers, theatres and other available information. The Company continues to expand the engine to handle queries about older movies, academy awards, movie quotes and other data elements. The Company's objective is to leverage this ability to answer these types of complex (yet commonly required) queries about movies to drive higher usage, engagement and ultimately revenue of the applications of the Company's and its partners.
Management believes that recent progress in tackling some of the hardest computer science problems in the world, namely, understanding human language and generating answers based on publicly available knowledge to end users. is due in part to rigorously following a methodology of beginning with general knowledge and then expanding to more in-depth verticals. Additional verticals will include videos, images, sports, and financials with the goal of being able to match categories that users can currently discover information in the 2ya messaging application.
The Company believes that the current solution is differentiated from Facebook's recently announced graph search. The answer engine is focussed on answering questions related to general facts about the world, without requiring votes by a community to understand "who starred in which movie?" or "what is the closest restaurant that serves a specific dish?" or "who was the first person on moon?" or "what the score in the game last night was?"
The announced Facebook graph search appears to be based on personal information and may be useful for queries that are an expression of personal tastes. This is a very promising and exciting announcement in search, which is complementary and not competitive to the Company's focus on leveraging semantic technology to improve general knowledge search. Facebook has expressed an interest in working with any search company willing to respect the privacy of people on Facebook. Sprylogics has a history of respecting the privacy of all users and will continue to look for opportunities for additional and deeper integration with the Facebook platform.
Sprylogics International develops advanced search and analysis technology. The patent pending technology platform uses Semantic and Machine Learning techniques to process, analyze and interpret unstructured data including real time conversation, in order to extract key sentiments, facts, user interests and intent. The technology platform is currently being used to develop innovative solutions related to search and discovery of products and places on mobile devices. Find out more at www.sprylogics.com or www.2ya.it
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Cautionary and Forward-looking Statements - Statements contained in this news release which are not historical facts are forward-looking statements that involve risk, uncertainties and other factors that could cause actual results to differ materially from those expressed or implied by such forward-looking statements. There can be no assurance that such statements will prove to be accurate and actual results and future events could differ materially from those anticipated in such statements. All forward-looking statements included in this news release are based on information available to the Company on the date hereof. The Company assumes no obligation to update any forward-looking statements, except as required by applicable securities laws.
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