EK’s Senior Consultant Heather Hedden will present “Challenges in Creating Taxonomies for Learning & Development” in a joint session with Walmart’s Senior Manager, KM & Capacity, Amber Simpson on March 19 at 12:00 noon EDT. Taxonomies can help provide a foundation to align skills to roles and to learning content. Simpson will discuss Walmart’s current effort to push learning content to associates, and Hedden will look at issues involved in developing a taxonomy of skills, considering the different taxonomy users, how skills can be linked to roles in a simple ontology, and the challenges in application front-end design.

EK’s Data Engineer Ethan Hamilton will be speaking on a panel of thought leaders, “A Roundtable Discussion: Using Knowledge Graphs to Bridge the Gaps in Generative AI,” on March 19 at 1:30 pm EDT. Despite their popularity, many worry about the risks Generative AI and LLMs pose: trustworthiness, ethics, missing information, suitability for workplace decisions, etc. This roundtable will seek to answer some of these questions and present another alternative: Explainable AI. Panelists will speak to the strengths of combining these generative technologies with knowledge graphs that can help explain the results and support the generation of high-quality data to train the models.

The event is free to anyone interested. Learn more and register for the Summit here.

The post EK’s Ethan Hamilton and Heather Hedden to Speak at the Virtual PoolParty Summit 2024 appeared first on Enterprise Knowledge.

Wahl and Hilger will deliver a talk titled Employee 360 in Action. In the talk, they will discuss how EK has been using PoolParty to build knowledge graphs that improve the way organizations manage employees across the enterprise. This concept of Employee 360 has the potential to deliver holistic views of an employee. As part of the presentation, Zach and Joe will share stories and best practices around creating knowledge graphs that capture the full lifecycle of the employee journey from hiring through when they leave the organization. Attendees will learn how to integrate information from multiple sources into a single view that shares everything about an employee.

The event is free to anyone interested. Learn more and register for the Summit here. 

The post EK’s Wahl and Hilger Speaking at PoolParty Summit 2021 appeared first on Enterprise Knowledge.

• Manage content more effectively;
• Maximize findability and discoverability of information;
• Increase the reuse of “hidden” and unknown information;
• Elevate SEO for public sites; and
• Create relationships between disparate and distributed information items.

EK’s Semantic Web Starter Kit is an easy and efficient way for organizations to get started with their first Semantic solution. The starter kit will help your organization to:

• Get introduced to semantic technologies;
• Take up to 28 hours of web-based training on ontologies and the semantic web;
• Develop an initial ontology that can grow over time;
• Validate the ontology using real content and information; and
• Implement a pilot version of PoolParty to manage your ontology.

The Semantic Web Starter Kit begins with a customized workshop where we introduce semantic technologies to your business and technology teams, align with the organization’s content relationships management goals, and develop measurable success criteria for the pilot.

We utilize the industry leading taxonomy, thesaurus, and ontology management tool PoolParty, developed by our partners Semantic Web Company. PoolParty allows us to help our clients model their domain knowledge, utilize available Linked Data resources, and integrate disparate internal and external data sources with both structured and unstructured data to provide seamless integration across the enterprise.

As part of the Semantic Web Starter Kit, we work with your knowledge management and IT specialists to define an initial ontology or augment your existing ones. With the starter ontology completed, we validate it using your existing content from various sources and iteratively adjust it to best model your domain knowledge and provide high-quality auto-tagging suggestions, concept identification, and knowledge linking.   

We implement PoolParty in a reusable and scalable proof of concept instance to help you achieve next generation knowledge integration across your organization.

Benefits & Outcomes

	Streamlined introduction to Semantic Web concepts and best practices.
	Quick, working, and reusable proof of concept installation of PoolParty to manage ontologies for your organization.
	Completed starter ontology validated against your existing content.
	Auto-tagging suggestions based on your content.
	Clear, practical, and tailored next-steps plan for enriching and expanding the starter ontology to the rest of your organization.
	Training and transfer of knowledge to your knowledge managers and SMEs, including web-based certification courses in Semantic Web concepts and PoolParty administration.

Semantic Web Starter Kit Process

The Semantic Web Starter Kit is a 10 to 20-day engagement, depending on the defined scope and complexity of the proof of concept. We break down this project in the following tasks:

	Kick-off Workshop Vision and objectives for the Starter Kit project Presentation of ontology primer High-level review of existing taxonomies, thesauri, and/or ontologies
	Prototype specification Analysis of existing taxonomies/ontologies and content Interviews and focus groups with Subject Matter Experts as necessary Technical and functional description of targeted functionality
	Test environment   Installation and configuration of PoolParty at customer site or cloud server with a 90-day free license
	Data analysis and processing Iterative analysis and development of initial ontology/taxonomy Integration of predetermined internal and external data sources Validation and tuning of initial ontology/taxonomy
	Your prototype Functional prototype/proof of concept of a PoolParty instance utilizing a predetermined subset of your taxonomy/ontology and data sources Starter taxonomy/ontology based on your domain
	Roadmap Guidance on how to continue enriching your ontology Best practices for PoolParty administration and integration
	Access to PoolParty Academy online training and certification for 2 project team members for 3 months covering: Taxonomy, ontology, linked data, and semantic web concepts PoolParty configuration and administration to allow you to manage your taxonomies and/or ontologies and integrate additional data sources into your knowledge graph

Contact us at info@enterprise-knowledge.com to get your Semantic Web Starter Kit.

The post Semantic Web Starter Kit appeared first on Enterprise Knowledge.

Auto-tagging is a popular method of applying taxonomy and thesaurus concepts to a large corpus of content. The rich relationships that define a thesaurus are often ambiguous to auto-tagging tools. This means that terms are frequently incorrectly applied to content when performing auto-tagging, reducing the effectiveness of thesauri. PoolParty is one popular auto-tagging tool that offers two complementary capabilities, disambiguation and negation, to overcome this common issue. These capabilities allow PoolParty knowledge engineers to easily enhance auto-tagging rules without complicated coding or scripting languages.

Disambiguation

Every so often, when using the Text Mining and auto-tagging tools in PoolParty, incorrect terms will appear. When wrong annotations in the text extraction process continuously appear, you can specify the context in which terms should appear. This is done through disambiguation. Disambiguation allows knowledge engineers to help the system identify correct thesaurus terms when performing auto-tagging even if it shares Simple Knowledge Organization System (SKOS) relationships with other thesaurus terms.

For example, the thesaurus terms “Tata Consulting Group.” and “Tata Motors Inc.” both share the SKOS alternative label “Tata.” Thus, both terms will frequently appear together when performing auto-tagging regardless of context despite being unrelated organizations. Disambiguation is a method that can be used to correct this issue. In the example on the right, the thesaurus term “Tata Motors Inc.” has a related concept “clean energy.”

By selecting the” has related” relationship in disambiguation, the text mining feature in PoolParty will be able to determine the correct value to select in the correct context based on related terms in the thesaurus.

Once activated, the PoolParty extractor will annotate the thesaurus term “Tata Motors Inc.” when it is found near the term “clean energy”.

To access Disambiguation in PoolParty select Corpora and navigate to Disambiguation Settings: 

From the Disambiguation Settings menu, knowledge engineers can specify any SKOS relationships and/or custom relationships that they wish to be included when calculating terms in text extraction.  This is found in the Distance Calculation tab:

In Distance Calculation, you can decide which graph transversal patterns are allowed in principle to calculate the “closeness” between thesaurus terms and all SKOS labels.  This allows users to improve the effectiveness of auto-classification and enhance information retrieval by shaping how PoolParty weighs specific terms.

Indirect Relations and Disambiguation

Disambiguation can also be used to eliminate ambiguity when auto-tagging through indirect relations by assessing the entire graph and thesaurus structure. One example of this is when two different concepts share the same preferred label. In this example, Europe is used to represent a physical location and a character from Greek mythology:

If the phrase “Skiing is popular in Europe” appears in a piece of content included in the auto-tagging process, the system should apply the thesaurus term “Europe” that represents a physical location.  In the thesaurus, there is only one path between Skiing and the correct thesaurus term “Europe”:

Skiing –> 1976 Winter Olympics –> Innsbruck –> Austria –> Europe:

Skiing –> 1976 Winter Olympics

1976 Winter Olympics –> Innsbruck

Innsbruck–> Austria –> Europe

By specifying the entire graph and thesaurus structure in Disambiguation, knowledge engineers can ensure the correct term will be selected when auto-tagging in any scenario.

Negation

It is also possible to improve PoolParty’s auto-tagging capabilities through Negation.  Negation allows users to define when a specific term should or should not appear based on thesaurus relations.  In this example, the thesaurus term “Jaguar” is used poly-hierarchically to represent both the brand of a car and an animal.  The term “Jaguar” used to represent a brand of car frequently appears out of context when performing auto-tagging when content references “Jaguar” as an animal.  Using negation, knowledge engineers can prevent the brand “Jaguar” from displaying when the word “cat” is present.

To access Negation, select Corpora and navigate to Disambiguation Settings: 

From the Disambiguation Settings menu select the Negation tab:

In the Negation tab, knowledge engineers can select any applicable SKOS or custom relationship to enhance auto-tagging through negation:

The post Common Issues In Auto-Tagging Thesauri appeared first on Enterprise Knowledge.

Faceted Navigation

Faceted navigation uses categories to help users navigate the site and narrow their search.  When users seek to find content, they iteratively modify their search queries based on information presented in the search results. Faceted navigation takes advantage of this behavior and allows users to simultaneously search and browse while narrowing the amount of content they interact with. This reduces the number of queries a user must enter and gives users better insight into the structure and semantic categories used on the site or intranet.  When this search functionality is implemented in an intranet or website, it brings a common and positive user experience while increasing findability. PoolParty can be used to create faceted navigation like the one below:

Online demo: http://marklogic-demo.poolparty.biz/

Semantic Links

When we expand the hierarchical relationships found in a taxonomy to support associative and equivalence relationships, we create a thesaurus. Thesauri allow us to take advantage of the benefits provided by a taxonomy while managing synonyms and associative relationships. Thesauri help guide users to one term regardless of what terms they use to search. This makes search results more accurate. Connecting synonyms, near-synonyms, acronyms, abbreviations, lexical variants, common misspellings, and related terms to one preferred term allows us to create rich semantic links and minimize semantic ambiguity. If the information environment is multilingual, equivalent terms in other languages can be displayed. Semantic links of search terms can be displayed in addition to the actual search results. Consequently, the user receives not only documents but also contextual information around a topic of interest. The example below shows how additional information around ‘photovoltaic’ helps to navigate to related topics like ‘solar cells’ or ‘solar thermal’.

Infobox contextualizes a search term and provides semantic links

Landing or topic pages

 Taxonomies help publishers to maintain and create landing or topic pages dynamically. For example, a taxonomy as illustrated on the left, could aggregate all content assets annotated with any of the subconcepts (recursively) of ‘Psychotherapy’. This approach supports a more dynamic creation of menu items and decouples the semantics of an asset from its position in a navigation structure. The result is a search-driven customer journey  rather than a static navigation structure that can be  modified and extended at any time e.g. to support temporary campaigns. In this four-layered content architecture (see image below), navigation and menu structures are clearly separated from metadata, and from taxonomies that describe the semantics of metadata independently from the underlying content assets. As a result, menu points can be modelled as ‘containers’ of concepts derived from the taxonomy (e.g. with skos:Collection). This approach for a dynamic management of navigation structures is highly efficient, especially in multi-site environments. With the use of poly-hierarchies, multiple navigation paths can be created, which lead to the same content from various menus and sub-menus.

Four-layered content architecture

Personalization

The basic foundation to delivering a personalized customer experience is common semantics of user interests or skills and available contents or products. Controlled vocabularies, taxonomies, and domain ontologies help to link user interest or skill profiles to related content assets. Recommender Systems based on semantic knowledge graphs are more precise than other techniques like  Vector Space Models: concept based approaches don’t use just the words being found in a text, but rather use the concepts behind the content assets to predict its semantic similarity to other objects. This makes it possible to find relations between entities that do not have anything in common at first glance, i.e. when taking a look at the words or phrases being used.

Conclusion

Consistency is the foundation of any positive user experience. When users can quickly understand an information environment they are more likely to enjoy using it and use it frequently. Taxonomies and thesauri allow us to categorize and centralize an information environment in a way that makes sense to the user. This creates a consistent mental model that users can easily understand. In short, taxonomies drive user experience. PoolParty (www.poolparty.biz) is one of our favorite tools for developing and managing effective taxonomies and thesauri that create positive user experiences across any information environment.  

This blog was co-written by Andreas Blumauer of Semantic Web Company.

Andreas Blumauer (Semantic Web Company)

Andreas is CEO of Semantic Web Company and Product Architect of PoolParty Semantic Suite. He has worked on semantic web technologies, products, and methodologies since 2001. He is passionate about providing added value to organizations by linking and contextualizing information in a meaningful way based on semantic web standards.

https://www.linkedin.com/in/andreasblumauer

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