Semantic Web Company (SWC) is a leading provider of graph-based metadata, search, and analysis solutions. It offers support to customers in developing and implementing enterprise knowledge graphs, extracting useful knowledge from large datasets, and the integration and linking of structured and unstructured data. Besides, it also helps organizations develop strategies that support the efficient introduction and implementation of innovative graph technologies.
Founded in 2004, the Semantic Web Company is the vendor of PoolParty Semantic Suite (www.poolparty.biz), which is one of the most complete and secure semantic middleware on the global market.
Creating a Niche in Challenging Market
SWC has been creating semantic web solutions since its inception in the early 2000s. At that time, many considered semantic technologies too advanced for everyday use, yet Semantics was confident of its future in the industry. Its vision of intricate knowledge being structured, quickly accessible, and profitable has contributed to driving it forward.
At present, several Fortune 500 companies rely on its semantic information management solutions. From IT services and healthcare to financial services and e-commerce, several industries have adopted the PoolParty Semantic Suite to extract more value from data, reduce costs, and increase efficiency.
An Insightful Leader with Audacious Spirit
Andreas Blumauer has been CEO of the Semantic Web Company for the last 15 years. At SWC, he is the ‘product strategist’ behind PoolParty Semantic Suite and responsible for business development and strategic marketing. Andreas has been pioneering the Semantic Web frontier since 2001 and is author of the first comprehensive book in the Semantic Web area of expertise. He is an experienced consultant in the areas of information management, metadata management, linked data, search, analytics, machine learning, and semantic technologies. Andreas is also the author of the Knowledge Graph Cookbook, which explains how organizations can use the technology to innovate, create value, and increase revenue. He holds a Master’s degree in business studies and information technologies from the University of Vienna.
Delivering Big Data Solutions to Anchor Trade Demands
Semantic Web Company helps clients overcome the limitations of the usual approach to machine learning applications, who cannot understand the context in which data is embedded. To achieve that, the company helps customers build AI applications based on knowledge graphs representing knowledge and act as mediators between humans and machines. In other words, a knowledge graph follows the human way of understanding the world by linking things, ideas, and concepts.
As a result, its clients can acquire more insights from their data, which leads to improved decision making, reduced costs, and increased efficiency. SWC’s technological applications include a range of services like improving search results in content management systems, automatically classifying large amounts of documents, and building recommendation engines into more complex ones such as building question answering systems.
Opting for Partnerships that Augment Data Offerings
Andreas affirms that Semantic technologies can be applied to different contexts, solve various business problems, and offer value-added services to customers in various but unique ways. Consequently, the company tries to team up with enterprises with specific knowledge in a given field to craft solutions that address that field’s particular challenges. As a result, it often integrates the PoolParty Semantic Suite with other software solutions (ECMS, HR-systems, search engines, data catalogs, and more) to benefit from its technology platform has to offer.
One of its most recent, innovative, and successful partnerships is with data.world. Together, they shall combine data catalogs and knowledge graphs to unify unstructured, semi-structured, and structured data to make all that available as if it were one database, a semantic data fabric.
The Vitality of Disruptive Technology for Businesses
According to Andreas, knowledge graphs are at the core of many of the tools that are being used in daily lives, such as voice assistants (Alexa, Siri, or Google Assistant), intuitive search applications, and even online store recommenders. Internet giants and companies from other industries such as BBC, Capital One, Electronic Arts, Zalando, or Roche have already integrated the technology. They are using knowledge graphs to harness the power of all of the data they have accumulated over the years.
The technology’s central promise is to harmonize and link structured and unstructured data, resulting in higher data quality ideal for machine learning. And as a matter of fact, knowledge graphs are the ultimate linking engine for the management of enterprise data and a driver for new approaches in artificial intelligence.
Fostering Effective Management Paradigm
With an average growth rate of 30% per year, Andreas feels this is a challenging time for the company. To boost this figure, Semantic is working on ways to address its clients’ needs while remaining innovative to address the market’s current and future requirements. The company has managed to do that successfully by rolling out lean management processes across the organization and working hard to become even more customer-centric.
Winning Industry Approval through Accolades
The company’s upward trajectory and continuous delivery of outstanding services have earned itself many admirable recognitions. From 2016 to 2020, the Semantic Web Company has been a part of KMWorld’s prestigious list of “100 Companies that Matter in Knowledge Management.” It has recently been added to Gartner’s Magic Quadrant of Metadata Management Solutions in the category Visionary. Further, Andreas has been nominated to the Forbes Technology Council.
Data is the Future
As knowledge graphs go mainstream, SWC will continue working to help organizations benefit from their implementation. Andreas reveals that the company has also been working to offer PoolParty Semantic Suite as an original equipment manufacturer (OEM) integration with large enterprise information management systems. The objective is to benefit from semantic technologies’ capabilities, such as improved search results, automatically tagging large amounts of documents with metadata from controlled vocabularies and more accurate recommendation engines.