We deliver agile, professional, and quality solutions that meet our customers’ expectations.
We are committed to the satisfaction of our customers, and it is the only success metric we use.
We use complex event processing technologies to help our customers to create custom messaging systems, live data visualizations, real-time business analytics. Our solutions typically process streaming data, feeds, and browser event data to deliver real-time results. We provide executives and their organizations with the ability to make decisions and immediately act through manual or automated actions.
We produce prediction applications using
machine learning methods (both unsupervised learning and supervised learning models), time series methods, regression analysis,
and data mining methods. We take your project and perform all stages from analysis through design to implementation.
Our close partnerships with academia keep our knowledge always up to date.
We build Decision Systems, usually as rule-based systems, towards automation of business processes or to provide recommendations including scoring applications closely related to business analytics. While the business rules can be created or operated by the business analysts, they can trigger automatic actions as a part of the business process.
We have learned that success with Social Media Management requires focusing on the long term. It requires testing and iterating. There is no secret recipe. The most successful communicators use a calculated blend of art and science to deliver meaningful messages to their fans, the friends of their fans, and the people discovering products for the first time. We deliver a cloud-based service to ensure Social Marketers win.
We help our customers to use semantic annotations providing additional
semantic information (metadata) about their Web content. We develop inside a
and use an universal annotation language
allowing web applications, especially search engines
(e.g. Google, Yahoo, Bing, others) to perform a better indexing.
We are involved in the entire data chain from producing to processing of semantic annotations.
We develop applications allowing our customers to produce and use Linked Data, including Open Data available on the European Union Open Data Portal and national open data sources (such as the German GovData) to produce paid or free applications in various areas including the tourism market and the energy market. We also develop intelligent rich web applications (aka intelligent mashups) dynamically combining data from different sources.
There is an increasing trend towards Online Presence Management tools allowing businesses to produce, track, and analyze conversations on the Web about their brand or about topics of interest, including sales promotions, premiums, prizes, product samples, and discounts.
This is particularly useful in public relation management and campaign tracking, allowing the businesses to foster public engagement.
We use up-to-date software technologies to build Rich Web Applications including Business Mashups, Consumer Mashups, Data Mashups and Intelligent Mashups.
We investigate methods and applications for information systems of the next generation especially Reasoning on the Web and Semantic Web.
Microdata extractor is a REST web service to extract RDF data from Microdata annotations and provide the semantic information as N-Triples, N3 and JSON. The service conforms with the Microdata2RDF specification at W3C, but the generation algorithm may be different from the one proposed by the specification.
More technical info on: http://getschema.org/microdataextractor/about
RDFa extractor is a REST web service to extract RDF data from RDFa Lite annotations and provide the semantic information as N-Triples, N3 and JSON.
JSON Rules is a rule language based on JSON syntax meant to allow HTML5 developers to embed rules into their web pages. JSON Rules support both condition-action rules (production rules) and event-condition-action rules (aka reactions rules)
More information on this project development on our wiki.
Enriching user navigation experience is not a novel paradigm.
Web publishers use various tools to embed related content in their web pages.
However, this experience is related to the publishers and not the readers of the web content.
RuleTheWeb! employs user preferences, Semantic Web annotations and behavioral targeting to create
the best related content towards a semantic navigation on the web.
RuleTheWeb! is enriching the reader experience by considering the semantics of the visited page and user's own preferences encoded as rules.
Find more at http://ruletheweb.org (including download)
Learn more about this project on our wiki.
One should not confuse Social Web Rules with the regular definition of this term such as the one from Wikipedia (Social Rules, Norm, ...). Rather Social Web Rules are simple norms that can be created/generated/shared by browser users as a basic form of human interaction. Users are always motivated to (1) use publicly available rules meeting their goals - public rules are powerful because we tend to believe our friends before believing a marketing message from a brand, (2) create their own private rules and (3) share rules with the community.
More about this project on the wiki.
Rulestore API is a project in partnership with RuleML. The goal of this API is to provide RuleML rules as Linked Data objects to bridge the gap between Linked Data and Rules. While designing rules and rulesets is still an expert-guided task, exposing rules as Linked Data will greatly improve their usage in Web reasoning.
More about the API on the RuleML wiki.