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Data Centric Transformation
Semantic Arts is a professional services company in the business of helping enterprises become data-centric. The transformation pathway is a process that will occur over a series of projects. Each project will deliver value and get you one step closer to the goal of converting data from a problem to manage into a resource to exploit.
Projects typically involve two to three Semantic Arts consultants working alongside your existing team. We start with a simple model of the information managed by your enterprise or line of business. We then load data from several sources into a knowledge graph and work with your team to add capabilities and additional data sets.
Our Consultants Are Experts In The Following
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Data-Centric Architecture
Semantic Arts designs systems around data requirements, rather than trying to make data fit the architecture. Our approach does not require lengthy integration activities and many layers of data replication. Instead of standing up new databases and building additional silos, data-centric architecture enables data to be shared and reused across all your applications without making copies. By eliminating data copies and integration efforts, new solutions can be built in days instead of weeks.Ontology Development
Semantic Arts team of developers has extensive expertise in knowledge representation and ontology engineering. Whether it is the complexities of life science, financial services, publishing, manufacturing or any other information-intensive industry, our experts have the knowledge and capability to design ontologies tailored to your specific domain. We work closely with your subject experts to capture requirements and develop custom ontologies that align with your business objectives.Nul text
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Semantic Data Modeling
Our consultants understand how to infuse data with semantic meaning to enable more intelligent and contextual decision-making. We focus on integrating data from disparate sources including both structured databases and unstructured text. We originated many of the principles of ontology design that are currently in use throughout the industry. We make your data-centric transformation journey possible.Data-Centric Deployment
Semantic Arts has developed a structured methodology for integrating your knowledge graph with existing infrastructure to ensure that it is production ready. Our consultants work closely with you to understand your specific objectives before we identify and harvest data from databases and APIs. We manage the data pipeline to ensure that data is normalized, annotated and tested – and work with your business users to develop query interfaces and analytical tools.Nul text
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Consulting and Training
Semantic Arts has developed an apprenticeship program to ensure self-sufficiency for our clients. We provide full details and documentation about our methodology as well as our approach to ontology development.Our Consultants Are Experts In The Following
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Data-Centric Architecture
Semantic Arts designs systems around data requirements, rather than trying to make data fit the architecture. Our approach does not require lengthy integration activities and many layers of data replication. Instead of standing up new databases and building additional silos, data-centric architecture enables data to be shared and reused across all your applications without making copies. By eliminating data copies and integration efforts, new solutions can be built in days instead of weeks.Nul text
Ontology Development
Semantic Arts team of developers has extensive expertise in knowledge representation and ontology engineering. Whether it is the complexities of life science, financial services, publishing, manufacturing or any other information-intensive industry, our experts have the knowledge and capability to design ontologies tailored to your specific domain. We work closely with your subject experts to capture requirements and develop custom ontologies that align with your business objectives.Nul text
Semantic Data Modeling
Our consultants understand how to infuse data with semantic meaning to enable more intelligent and contextual decision-making. We focus on integrating data from disparate sources including both structured databases and unstructured text. We originated many of the principles of ontology design that are currently in use throughout the industry. We make your data-centric transformation journey possible.Nul text
Data-Centric Deployment
Semantic Arts has developed a structured methodology for integrating your knowledge graph with existing infrastructure to ensure that it is production ready. Our consultants work closely with you to understand your specific objectives before we identify and harvest data from databases and APIs. We manage the data pipeline to ensure that data is normalized, annotated and tested – and work with your business users to develop query interfaces and analytical tools.Nul text
Consulting and Training
Semantic Arts has developed an apprenticeship program to ensure self-sufficiency for our clients. We provide full details and documentation about our methodology as well as our approach to ontology development.
Methodology
Semantic Arts has perfected a “think big” (enterprise) “start small” (business domain) methodology that allows clients to migrate toward data-centric one sub-domain at a time. At each stage of the project, you realize a use case of value and demonstrate the validity of the data-centric architecture approach to systems design.
We start with a single and simple model of all the information managed by your enterprise or line of business. This forms the scaffolding that is used to add additional projects on an incremental basis.
From that baseline, our consultants load data from several sources into a knowledge graph for maximum flexibility. Direct updates to the graph start small. Each new project adds more sources and value to the knowledge graph. We then work with you to add capability to the knowledge graph architecture in terms of visualizations and natural language search capability.
This is the inflection point for the enterprise, giving you the ability to build additional use cases directly into the graph. These additional use cases are linked directly to the ontology and should be viewed as completely modular. With the use case capability in place, the graph can become the source system of record for data that is precisely defined, reusable, traceable and fully searchable.
Partners
Semantic Arts Plays Well with Others — Our partnerships are grounded in real client engagements—not just press releases or licensing deals. Here are a few examples:
Be Informed
Be Informed is an internationally operating, independent software vendor. The Be Informed business process platform transforms administrative processes. We worked with Be Informed on the P&G project to redefine how they tracked and obtained approval for materials used in their many projects worldwide.
Coherent Knowledge
Coherent Knowledge offers the tools the increasingly knowledge-based economy needs. We teamed with Coherent Knowledge on the Schneider –Electric project to create a semantic rule-based approach to electric product configuration.
Fluree
We have developed a joint service offering with Fluree in the pharmaceutical and life sciences domain to accelerate eCTD filings.
Franz Inc
We have partnered with Franz on a number of important client projects, including more recently with MD Anderson and IBB for the development of the Industry Knowledge Graph. Their Allegro Graph Triple Store is one of the easiest to set up and administer. We have been using it internally for over a decade (we run our timekeeping and project management on an Allegro Graph instance), and it has run without a hitch for that entire time.
Global IDs
Global IDs allows organizations to follow a systematic approach to taking cost out the data ecosystem. We have just penned our MSA with Global IDs and plan to begin a joint project soon.
Graphwise
We are working with Graphwise to develop enterprise semantic search capabilities for organizations using SharePoint and anticipating the need for taxonomy and ontology development.
Lymba
We have worked with Lymba on several projects, including one where they extracted triples from Equity Analyst Research Reports and conformed the information to the ontology we built, and also worked with them on chatbot automation and question rewriting.
Lymba sells a suite of products including the K-Extractor. The K-Extractor can extract RDF triples from unstructured documents. In the default configuration, it extracts a small set of known predicates. They have a rule-writing capability that allows both the recognition and the mapping to a specific (Enterprise) ontology. Two of our consultants have been trained to write these custom rules, and we are about to build a proof of concept using K-Extractor to extract information from documents to adjust their retention classification.
Ontotext
Ontotext is a global leader in enterprise knowledge graph technology and semantic database engines and a trusted technology provider since 2000. Their technologies and solutions are spread wide across the value chain of the most knowledge-intensive enterprises in Financial Services, Publishing, Healthcare, Pharma, Industry, Public sectors, and Defense. GraphDB is their leading RDF database for knowledge graphs. It allows you to link diverse data, index it for semantic search, and enrich it via text analysis pipelines to build big knowledge graphs. GraphDB open-sourced its front-end and engine plugins to further empower knowledge graph solutions.
RDFox
RDFox is the high-performance knowledge graph and semantic reasoning engine developed by Oxford Semantic Technologies—a rapidly growing deep tech start-up, spun out from the University of Oxford and backed by leading investors including Samsung Ventures and Oxford Science Enterprises.
These solutions are supported by RDFox’s industry-leading speed and stability, with enterprise features like high availability and loading times that are orders of magnitudes faster than other graph databases.
We are currently working with RDFox at Payzer, a software services firm for the HVAC contractor space.
Progress
We worked with a Progress team at Sallie Mae to convert our ontology into a canonical message model in the Progress tool DXSI, and then subsequently built out the SOA messages to support the integration of a new line of business with Sallie Mae’s existing applications and architecture. We are currently evaluating the Corticon suite for compatibility with the architectures we are deploying.
PWC
We have a deal with Price Waterhouse Coopers that sets us up to work in either of three modes:
- They can subcontract us as experts on their projects that involve semantic technology
- We can subcontract them either in areas of their vast domain expertise or to help scale out (sometimes projects need more resources)
- We can jointly bid on projects that combine our skills.
ROI Training
3 Round Stones
We teamed with 3 Round Stones on a project at Sentara to build a personalized medicine mashup. The proof of concept combined anonymized discharge records from asthmatic hospital admissions, and very detailed air quality information from the EPA. The air data included 5 air components (Ozone, Nitrous Oxide, Carbon Monoxide, Sulfur Dioxide, and Small Particulates) by day for the zip code of the patient’s residence. The mash-up allowed patients to see the specific components of the air on the days they were admitted and had the same information for the current date.
Soal Technologies
We worked with Soal on creating an enterprise architecture and a long range plan for the Texas Teachers Retirement System.
Stardog
Stardog is a premier, global semantic knowledge graph supplier, founded on the vision of making data usable when it counts – not for answers tomorrow or next week, but for right now. And that starts with breaking the cycle of repeatedly copying and transforming data for each new project. If you want to drive growth and innovation in today’s complex world of never-ending data capture, you can’t be bogged down with rigid data structures. You’ve got to let your data flow.
We’ve partnered with Stardog professional services and product teams during implementation and tool enhancement with two of our largest clients; Morgan Stanley and IDA.
TopQuadrant
We have taught our DBBO course at least six times using TopBraid and Maestro from TopQuadrant. We also used TopBraid on our ontology-building projects with P&G, Sallie Mae, and LexisNexis.
an open-source upper ontology
gist represents the fundamental concepts and relationships that exist for most business use cases and is specifically designed to be domain independent. This flexibility allows gist to be applied to a wide spectrum of domains and facilitates both interoperability and integration of knowledge. We have designed gist for clarity and completeness to cover nearly all the concepts that exist in real-world ontology development.
gist is an upper-level ontology containing a minimal set of concepts required for most business applications. It has been developed and maintained by Semantic Arts since 2012. The gist ontology is free to use and is distributed under the Creative Commons CC BY 4.0 license. You can use it as you see fit for any purpose, as long as you give us attribution and keep it in the gist namespace.
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The Periodic Table of Gist
The gist ontology consists of just over 135 classes and about 140 properties and serves as a foundation for building more specialized ontologies. We have culled out highly abstract concepts to promote disambiguation. You are invited to contribute to gist by adding your comments to issue discussion threads and submitting new issues and pull requests.
gist Resources
gist resources are available in the following GitHub repositories:
Download gist
Below are two quick-start ways to get the latest version of gist.
By downloading gist, you acknowledge the license requirements found here:
- Download the latest gist release package
- Import gist directly into Protégé with this link: [https://w3id.org/semanticarts/ontology/gistCore]
gist Forum
We maintain an active gist community where practitioners and users of gist come together to discuss the gist model, implementation best practices, and evolution. Virtual meetings take place the first Thursday of each month. Click here to become involved.
