Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance

  title={Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance},
  author={Francesco Osborne and Enrico Motta},
  booktitle={International Workshop on the Semantic Web},
Increasingly, organizations are adopting ontologies to describe their large catalogues of items. These ontologies need to evolve regularly in response to changes in the domain and the emergence of new requirements. An important step of this process is the selection of candidate concepts to include in the new version of the ontology. This operation needs to take into account a variety of factors and in particular reconcile user requirements and application performance. Current ontology evolution… 

A systematic review on time-constrained ontology evolution in predictive maintenance

This systematic review presents four research questions to provide a general understanding of the state of the art of the representation of time and ontology evolution in the predictive maintenance field and shows that there are several ways of representing the evolution of knowledge that are fairly established and several specific evolutionary actions are discriminated and analyzed.

ChImp: Visualizing Ontology Changes and their Impact in Protégé

ChImp---a Protege plug-in is developed to display information about the impact of changes in real-time during editing of the ontology, and it is hoped that displaying such metrics will help to improve ontology evolution processes in the long run.

Ontology-Based Recommendation of Editorial Products

Smart Book Recommender (SBR), an ontology-based recommender system developed by The Open University in collaboration with Springer Nature, which supports their Computer Science editorial team in selecting the products to market at specific venues, is created.

The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas

The Computer Science Ontology (CSO), a large-scale, automatically generated ontology of research areas, which includes about 14K topics and 162K semantic relationships is introduced by applying the Klink-2 algorithm on a very large data set of 16M scientific articles.

Ontologies in Cloud Computing - Review and Future Directions

The study shows that four predominant areas of cloud computing—cloud security, cloud interoperability, cloud resources and service description, and cloud services discovery and selection—have attracted the attention of researchers as dominant areas where cloud ontologies have made great impact.

Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies

This work proposes a new measure called Embedding Resemblance Indicator (ERI), which takes into account both the stochasticity of learning embeddings as well as the shortcomings of established comparison methods and suggests that ERI behaves as expected and captures the similarity ofembeddings based on the severity of changes.

Improving Editorial Workflow and Metadata Quality at Springer Nature

The most recent version of Smart Topic Miner (STM), an ontology-driven application that assists the Springer Nature editorial team in annotating the volumes of all books covering conference proceedings in Computer Science, is presented.

Workflow and Metadata Quality at Springer Nature

The most recent version of Smart Topic Miner (STM), an ontology-driven application that assists the Springer Nature editorial team in annotating the volumes of all books covering conference proceedings in Computer Science, is presented.



Ontology evolution: a process-centric survey

An overall process model synthesized from an overview of the existing models in the literature is provided, which concludes on future challenges for techniques aiming to solve that particular stage of ontology evolution.

Ontology Evolution: Assisting Query Migration

A module is presented that receives as input the sequence of changes between the two ontology versions along with a set of queries and automatically identifies the specific change operations that affect the input queries and provides an explanation for the specific invalidation.

A Framework for Ontology Evolution in Collaborative Environments

This paper presents a unified comprehensive set of tools to support different scenarios for ontology maintenance and evolution in a single framework, allowing users to switch between different modes easily.

A Component-Based Framework For Ontology Evolution

It is shown how different representations in the framework are related by describing some techniques and heuristics that supplement information in one representation with information from other representations, which is the kernel of the framework.

A Versioning Management Model for Ontology-Based Data Warehouses

An approach and a model, called the floating version model, that fully automate the whole integration process and supposes that an evolution of an ontology should not make false an axiom that was previously true is proposed.

Ontology versioning on the Semantic Web

Inspired by the work done in database schema versioning and program interface versioning, this paper will propose building blocks for the most important aspects of a versioning mechanism, i.e., ontology identification and change specification.

Ontology Evolution Issues in Adaptable Information Management Systems

The approaches of maintaining the consistency and keeping the continuousness of the dependent applications during the evolution are analyzed and a virtual space based framework is put forward.

SPRAT : a tool for automatic semantic pattern-based ontology population

SPRAT combines aspects from traditional named entity recognition, ontology-based information extraction and relation extraction, in order to identify patterns for the extraction of a variety of entity types and relations between them, and to re-engineer them into concepts and instances in an ontology.

Evaluating the validity of data instances against ontology evolution over the Semantic Web

A Framework for Ontology Learning and Data-driven Change Discovery

Text2Onto remains independent of a concrete target language while being able to translate the instantiated primitives into any (reasonably expressive) knowledge representation formalism, and allows a user to trace the evolution of the ontology with respect to the changes in the underlying corpus.