Menu
Formal Ontology in Information Systems Conference 2024
Formal Ontology in Information Systems Conference 2024
FOIS 2024JOWO Workshops

JOWO Workshops

EPISODE X: THE TUKKER ZOMER OF ONTOLOGY

Find below the list of accepted workshops at JOWO 2024.

CAOS8

Title: Cognition And OntologieS (CAOS8)

With the disruptive advent of AI in everyday life, the notion of embodied cognition and cognitive computing, as well as the connection between symbolic and neuro-symbolic methods and the cognitive sciences is becoming of pivotal importance. The convergence of knowledge representation, symbolic approaches, and current large language models capabilities portends significant opportunities for advancing our comprehension of cognitive phenomena. The advancement of artificial intelligence and the understanding of cognitive phenomena can greatly benefit from classic methods in knowledge representations and ontologies. CAOS investigates key cognitive phenomena and concepts (and the involved terminology) that can be found across language, psychology, and reasoning, and how they can be formally and ontologically understood and analysed. The exploration of the connection between cognitive sciences/experimental psychology and ontologies, as well as, more generally, symbolic AI, aims also to provide formal and logical modelling and reasoning approaches for capturing such connections.

Website: https://caos.inf.unibz.it/

Organization committee:

Emsusto

Title: Energy, Materials and Sustainability Ontology (Emsusto) Workshop 2024

The Energy, Materials and Sustainability Ontology (Emsusto) Workshop 2024 provides a venue for presenting ontologies and their applications in the domains of renewable energy, materials and sustainability. The primary goal of this workshop is to offer researchers and practitioners in these domains an opportunity to meet and exchange experiences in developing and using ontologies, and to provide a forum for the exchange of knowledge and best practices for ontologies in these domains. We welcome participation also from those who have just started to apply ontologies in these domains or who are not yet using ontologies in these domains but are interested in learning more.

Website: https://emsusto.github.io/jowo2024/

Organization committee:

FOAM

Title: FAIR Principles for Ontologies and Medatata in Knowledge Management (FOAM)

The FAIR Principles for Ontologies and Medatata in Knowledge Management Workshop (FOAM Workshop) is a combination of the Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), the Conceptual Modeling, Ontologies and Metadata Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data (CMOMM4FAIR) and the FAIR Ontology Harmonization and TRUST Data Interoperability Workshop (FOHTI). The main objectives of this workshop are to bring together new methods to enable FAIR research results (data, software, workflows, ontologies, mappings, etc.) through ontologies and vocabularies; to discuss techniques, metrics and guidelines to improve the FAIRness of ontologies and vocabularies; and to share experiences, identify new challenges and opportunities in applying FAIR for different communities.

Website: https://w3id.org/foam

Organization committee:

FOMI

Title: 13th International Workshop on Formal Ontologies Meet Industry (FOMI)

FOMI is an international forum and the flagship meeting of the Industry and Standards Technical Committee (ISTC) of IAOA. Researchers and practitioners are invited to participate in the FOMI workshop to analyze and discuss issues related to methods, theories, tools, and applications based on formal ontologies, knowledge modeling and the semantic interoperability in broad industrial contexts. The objective is to collect results, discuss issues, and share lessons learned by implementing theoretical views and lessons learned by theoretical/ontological analyses of existing industrial application systems.

Website: https://appliedontolab.github.io/fomi2024/

Organization Committee:

FOUST VIII

Title: Workshop on Foundational Ontology (FOUST VIII)

Foundational Ontologies are attempts to systematise very high-level categories of thought or reality. In practical terms, they aim to understand and formalise the meaning of very general terms, such as object, event, property, time, quality, relation, and process. Once formalised, these terms provide the top-level categories that are in principle common to many (if not all) domains of application. Consequently, Foundational Ontologies are widely acknowledged as crucial tools for tackling system and software interoperability issues. Despite this recognition, there is less consensus on the specific entities a foundational ontology should cover, its organisational structure, its scope, and even its role in relation to more specialised domain ontologies. This lack of consensus often reflects deep-rooted debates stemming from different philosophical perspectives on reality, mind, and language.

Traditionally FOUST concentrates on a series of topics in foundational ontology. This encompasses discussing philosophical foundations, presenting new research on specific foundational ontologies, discussing existing foundational ontologies, comparing them, and examining their relevance to the broader ontological enterprise. In some editions, FOUST adds a special topic to attract attention to some research questions. Along with this tradition, this year's focus revolves around the role of constructional approaches in applied ontology.

We warmly welcome everyone interested in foundational aspects of applied ontology to submit their research and join the FOUST community!

Website: https://foust.inf.unibz.it

Organization committee:

IFOW 2024

Title: Integrated Food Ontology Workshop (IFOW 2024)

Announcing the fifth annual Integrated Food Ontology Workshop (IFOW), a half-day workshop at FOIS 2024 at the University of Twente, Enschede, Netherlands July 15-19th!  The application of ontologies to food systems involves a number of perspectives that altogether promise a more stable, permanent open-source vocabulary which can evolve incrementally to describe food system behaviour as it spans from ecosystem and anthropogenic source, to individual and population-level nutritional and socioeconomic import.  Philosophical discussion of food semantics helps to arrive at a consensus model/language of food materials, roles, dispositions, functions, and processes – a middle/upper-level ontology that we can all agree upon.  A technical / applied ontology perspective brings structure and tools for vocabulary curation, quality control, lookup, and reuse, as well as application focus on food related biosample collection, plant or animal breeding, robotics, industrial automation, etc.  A sociotechnical view wraps all of this work into a broader interdisciplinary “lingua franca of data science” effort to blend tangential domains of knowledge – from life science, animal and plant rearing, industrial and distribution infrastructure, food traceability, and regulatory management towards public and environmental health and security.  Our time of rapid change demands narratives that identify, anticipate and explain courses of action to alleviate hunger, food insecurity, environmental degradation and climate change, narratives that rely on ontologies to salvage learning by enabling precise integration and comparison of past and present food system research and production data.

Website: https://foodon.org/ifow-2024-workshop/

Organization committee:

KM4LAW

Title: 3rd International Workshop KM4LAW – Knowledge Management and Process Mining for Law

Artificial Intelligence (AI), Knowledge Modeling (KM), and Information Extraction (IE) methods are increasingly important for legal informatics. A recent research line engages with transformers and Large Language Models (LLMs) techniques applied in the legal domain. Another recent topic is the analysis of legal event logs through Process Mining (PM) techniques, i.e., for regulatory compliance checking, mining legal event logs for process discovery, and applying predictive process monitoring on legal cases. There is a rising volume of research works on the limits and unexplored opportunities offered by AI for the representation and extraction of knowledge in the legal domain. Typical research objectives may include classification of legal sources, legal design and legal ontologies, similarity among norms and clustering, process mining for legal compliance, mining of legal event logs for process discovery, prediction and support in decision-making processes, semi-automatic legal interpretation, mapping of evolving legal concepts and definitions over time, information extraction and classification, detection of linguistic phenomena and patterns in legal sources, multilingual alignment of concepts of domestic and international legal sources, extraction and analysis of legal references and network analysis, analogical reasoning and compliance checking. The Knowledge Management and Process Mining for Law (KM4LAW) workshop intends to be a forum to address the current and emerging challenges of legal informatics from a broad perspective.

Website: https://km4law.di.unito.it/

Organization committee:

OK4I

Title: Ontologies and Knowledge Graphs for Industry (OK4I)

Although semantic technologies have made significant advances in the last years, adoption within the organizations remains a key challenge in industry. The goal of this workshop is to foster exchange on key challenges for adoption, and solutions to overcome them. We are interested not only in concrete use cases based on knowledge graphs and ontologies and how they are embedded in the overall enterprise environment, but also in visionary proposals how recent improvements in the area of semantic technologies and generative AI can help improve data integration and management, knowledge discovery, and AI use cases. OK4I  welcomes contributions describing positive as well as negative results, coming from small or large companies as well as academic partners. Across all submissions, emphasis should be put on demonstrating the business value and impact (intended to be) created by using knowledge graphs and semantic technologies to address industry problems.

Website: https://www.iai.kit.edu/ok4i

Organization committee:

OntoCom X

Title: 10th International Workshop on Ontologies and Conceptual Modeling (OntoCom X)

The International Workshop on Ontologies and Conceptual Modeling (OntoCom) is an academic workshop focusing on the practical and formal application of ontologies to conceptual modeling. The importance of conceptual modeling has grown over the years, and it is now common to find examples of conceptual models being developed and used in a range of diverse disciplines not related to computing, including, for example, biology, business, construction and engineering. Among the reasons for this disciplinary expansion is also the increasing digitalisation of all aspects of modern life as well as the increased complexity that such digitalisation entails in terms of emerging needs and requirements. The natural consequence is a proliferation of conceptual models of multiple real-world domains which sooner or later require data and systems to interoperate and/or integrate. In this emerging scenario ontology-driven conceptual modeling becomes even more fundamental to modern life due to its intrinsic ability to represent reality in a theoretically and semantically consistent manner. Foundational (or upper ontologies) have the potential to resolve the difficult problems that derive from a lack of a consistent and sound ontological theory. The benefits that can derive from the application of a foundational ontology include improved mapping to the real-world domain, increased level of communication and understanding among stakeholders, model reuse, semantic integration and interoperability and increased overall efficiency and effectiveness of information systems development and evolution. The application of foundational ontologies can also assist in overcoming the inscrutable nature of most mainstream artificial intelligence methods (i.e. neural networks and machine learning). We intend to bring together academics, researchers and practitioners (with a background in IS engineering and/or ontology development) to develop an agenda of future collaborations that combine research and industrial expertise.

Website: https://ontocomworkshops.github.io/OntoCom2024/

Organization committee:

PwM

Title: Playing with Meanings (PwM)

Formal and applied ontologies can be powerful tools to define and disambiguate meanings, to promote shared semantics within and between domains, yet they can be complicated to learn and challenging to develop and apply. This hinders their usability, understandability, quality, and their utility for interoperability. The Playing with Meanings (PwM) workshop explores interaction design techniques for learning, developing, and using ontologies and ontology-based conceptual models. In this half-day session we will (i) collectively reflect on the challenges of teaching, learning and applying ontologies, (ii) introduce game and play methodologies for participatory sense-making (i.e. situated, socially coordinated learning through action), and (iii) engage hands-on with a series of ontology games. These include simple discursive artefacts that examine ontological notions, more elaborate and adversarial games that incite philosophical debate, and ontology-based knowledge co-production tools for transdisciplinary social-ecological systems research. Throughout, we will reflect on the potentials of game and play to create space, structure communication, and reveal complexity as accessible and fun, and share an emergent practice of developing interaction scripts to analyse and apply conceptual models and ontologies that can be reused in a variety of teaching, learning and domain-specific applications.

Website: https://humanfactorsinsemantics.net/JOWO2024.html

Organization committee:

Semantic Shields I

Title: 1st International Workshop on Modeling for Cybersecurity (Semantic Shields I)

Semantic Shields I: 1st International Workshop on Modeling for Cybersecurity is a one-day event focusing on theoretical aspects and practical applications of conceptual models and ontologies to cybersecurity.

Cybersecurity, which concerns both human and technological aspects, refers to a set of techniques used to protect the integrity of networks, programs, and data from attack, damage, or unauthorized access. With the spread of systems and applications, attacks continue to grow in sophistication, with attackers using an ever-expanding variety of tactics such as social engineering, malware, and ransomware. For this reason, to reduce the risk of cyber-attacks and protect against exploitations, new methods and technologies are emerging. Formal methods, in particular ontologies, constitute an effective approach to mitigate the incompleteness and ambiguity of security directives and to semantically characterize security stakeholders, ranging from offensive techniques to compliance, vulnerability, encryption, data protection, authentication, confidentiality, integrity, and availability. The  “Semantic Shields: International Workshop on Modeling for Cybersecurity” aims to bring together cybersecurity experts, conceptual modelers, and ontologists, from scholars to practitioners, to develop applications, methods, and tools impacting the cybersecurity domain.

Website: https://www.utwente.nl/en/eemcs/semantic-shields/

Organization committee:

ST4DM

Title: Semantic Technologies for Data Management (ST4DM)

Knowledge Graphs (KGs) have become a popular format of data representation, mainly due to their flexible data model which renders them particularly suited to those tasks where data coming from multiple, possibly heterogeneous, sources has to be integrated in order to be fully exploited. KGs have received both the attention of academia, through foundational efforts stemming from scientific literature such as Knowledge Representation, Machine Learning, or Databases, and the enterprise world. Enterprise applications, in particular, exploit tools implementing recommendations from the Semantic Web community (such as RDF or OWL), and proprietary formats based on property graphs. The general data model of KGs allows for representing both extensional knowledge, the data itself, and intensional information made available by domain ontologies. Hence, KGs provide a way to enrich data coming from legacy sources with semantic information coming from the application domain. This empowers users with automated inference, enriches interpretability of data, and overall facilitates access and integration. The aim of the present workshop is to provide a dedicated venue for authors working in the context of semantic technologies for KGs where the focus is both on data and ontologies. Currently, many venues are very focused on the former (e.g., the whole Database community), or the latter (e.g., the Knowledge Representation or Semantic Web communities). However, initiatives focusing on leveraging semantic technologies for data management necessitate an integrated perspective that merges data with semantics. This also calls for bespoke techniques that seamlessly combine the two.

Website: https://sites.google.com/diag.uniroma1.it/st4dm/

Organization committee:

Workshop on the Convergence of Large Language Models and Ontologies

Title: Workshop on the Convergence of Large Language Models and Ontologies

The rapid development and deployment of Large-Language Models (LLMs) has led to growing interest in leveraging ontologies and knowledge graphs to enhance LLM capabilities and address limitations. Combining the semantically rich architectures provided by ontologies and knowledge graphs with the generative strengths of LLMs promises to provide a path towards more explainable artificial intelligence systems, more trustworthy output, and a deeper understanding of vulnerabilities arising from integrated architectures. This workshop, associated with a special issue of Applied Ontology, is dedicated to exploring the convergence of knowledge representation and LLM strategies, design patterns, models, and benchmarks. We aim to bring together researchers, practitioners, and enthusiasts from industry, academia, and government in the interest of exploring possible convergence points and advancing each field.

Website: https://johnbeve.github.io/LLMO-FOIS/

Organization committee:

YODA

Title: ContemporarY Ontologies for Digital Archives (YODA)

The increasing number of digital archives, libraries and collections encompassing a variety of cultural heritage documents (such as manuscripts, books, prints, music scores, works of art, etc.) and the emphasis on making these materials accessible according to FAIR principles requires a well-planned knowledge engineering process: from crafting a model underlying a collection, through compiling metadata about individual documents and digital collections, and considering integration across systems of various institutions to exchange and complement information about collections, to supporting advanced processing scenarios in philological, historical, amateur research. The aim of the YODA workshop is to provide a venue for discussion of all the issues associated with such a process.

Website: https://geist.re/yoda:start

Organization committee:

Close
Suggestions