Ontotext has been at the forefront of this technology for more than 20 years – long before it was named knowledge graphs (KG). At this webinar our CEO Atanas Kiryakov will present two maps, which concentrate our knowledge about the variety of Applications that benefit from KGs and the Capabilities needed to deliver solutions and to operate systems based on KGs.
Enterprise Knowledge Graphs serve as hubs for data, metadata and content, offering comprehensive, consistent and unified views to information scattered across different divisions, systems and paradigms.
However, not every graph is a knowledge graph (KG) as the Property Graph advocates allude. A graph of the connections of a LAN network can be useful in many ways, but it is not a KG if there is no schema and semantics. KGs are not about searching paths between nodes! Knowledge graphs are about putting data in context via linking and semantic metadata. KGs are structured around a collection of interlinked descriptions of entities – real-world objects and events, or abstract concepts. These descriptions must have formal semantics to allow people and computers to process them unambiguously.
Semantic metadata is the new gold. Metadata is as important for the data as packaging is for goods. According to Gartner it will have a central role in the next generation data and content management architectures. Data fabric is about putting together metadata of all kinds to allow for flexibility and automation in data integration. Data mashes are about having enough metadata to be able to interpret correctly data produced and provided without much centralization. Insight engines are about having rich metadata to enable profound content discovery and recommendation.
Knowledge graphs are about to disrupt several areas in mainstream enterprise IT: data management, content management and knowledge management. Such a broad field of applications comes with an extensive set of requirements for the platform, which aims to power all of them. Ontotext teams up with portfolio partners to offer a complete platform with best-of-breed tools for schema and taxonomy editing; data transformation and linking; access control and federation; data updates and validation; search and visualization. Our partner ecosystem also includes global and regional delivery partners.
At this webinar Atanas Kiryakov will present:
Who is this webinar for:
Atanas Kiryakov is the founder and CEO of Ontotext and member of the board of the Linked Data Benchmarking Council – standardization body, who's members include the major graph database vendors. Kiryakov obtained his M.Sc. degree in AI from the Sofia University, Bulgaria, in 1995. Today he is a top expert in semantic graph databases, reasoning, knowledge graphs, text mining, semantic tagging, linking and search. Author of signature academic publications with more than 2500 citations. Atanas is partner and board member in Sirma Group Holding – one of the biggest Bulgarian IT businesses, listed at the Sofia Stock Exchange. Atanas started in Sirma as software engineer in 1993 and became a partner in 1997. In the 90s he has led projects in the areas of CASE, CSCW, and b2b for big corporations and government organizations in US and Canada.