A5006108971- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Advanced Database Systems and Queries
- Business Process Modeling and Analysis
- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Digital Rights Management and Security
- Library Science and Information Systems
- Data Quality and Management
- linguistics and terminology studies
- Data Management and Algorithms
- Software Engineering Research
- Multi-Agent Systems and Negotiation
- Research Data Management Practices
- Geographic Information Systems Studies
- Wikis in Education and Collaboration
- Topic Modeling
- FinTech, Crowdfunding, Digital Finance
- Advanced Computational Techniques and Applications
- AI-based Problem Solving and Planning
- Web Data Mining and Analysis
- Web Applications and Data Management
- Distributed systems and fault tolerance
Universidad Politécnica de Madrid
2012-2023
Institución Universitaria Esumer
2018
Semantic Designs (United States)
2015
Intelligent Software Components (Spain)
2010-2013
Universidad Complutense de Madrid
2011
Artificial Intelligence Research Institute
2008-2009
Comunidad de Madrid
2008
Intel (United States)
2008
Stanford University
1994-2002
Methontology provides guidelines for specifying ontologies at the knowledge level, as a specification of conceptualization. ODE enables ontology construction, covering entire life cycle and automatically implementing ontologies. To meet challenge building ontologies, we have developed Methontology, framework Ontology Development Environment. We present our experience in using to build chemical ontology.
Ontologies have proven to be an essential element in many applications. They are used agent systems, knowledge management and e-commerce platforms. can also generate natural language, integrate intelligent information, provide semantic-based access the Internet, extract information from texts addition being other applications explicitly declare embedded them. However, not only ontologies useful for which plays a key role, but they trigger major change current Web contents. This is leading...
This paper presents two contributions to the field of Ontology Evaluation. First, a live catalogue pitfalls that extends previous works on modeling errors with new resulting from an empirical analysis over 693 ontologies. Such classifies according Structural, Functional and Usability-Profiling dimensions. For each pitfall, we incorporate value its importance level (critical, important minor) number ontologies where pitfall has been detected. Second, OOPS! (OntOlogy Pitfall Scanner!), tool...
In the last years, development of ontology-based applications has increased considerably, mainly related to semantic web. Users currently looking for ontologies in order incorporate them into their systems, just use experience and intuition. This makes it difficult justify choices. Mainly, this is due lack methods that help user determine which are most appropriate new system. To solve deficiency, present work proposes a method, ONTOMETRIC, allows users measure suitability existing...
The use of methodologies in software and knowledge engineering is very extensive due to their important advantages. In the case development ontologies, until now, several methodological proposals have been presented for building ontologies. Some these are designed ontologies from scratch or reusing other without modifying them, concretely, following cases can be mentioned: Cyc methodology, approach proposed by Uschold King, Grüninger Fox's KACTUS METHONTOLOGY SENSUS methodology. There even a...
The evaluation of ontologies is an emerging field. At present, there absence a deep core preliminary ideas and guidelines for evaluating ontologies. This paper presents brief summary previous work done on the criteria (consistency, completeness, conciseness, expandability, sensitiveness) used to evaluate assess It also addresses possible types errors made when domain knowledge structured in taxonomies ontology bases: circularity errors, exhaustive nonexhaustive class partition redundancy...
This paper describes a scenario-based methodology called the NeOn Methodology framework. The aim of this framework is to speed up construction ontologies and ontology networks by reusing available knowledge resources (ontologies, non-ontological design patterns). m ethodology founded on four pillars: (1) glossary processes activities; (2) set nine scenarios for building networks; (3) two life-cycle models; (4) prescriptive methodological guidelines performing specific activities. also shows...
Scientific workflows are a popular mechanism for specifying and automating data-driven in silico experiments. A significant aspect of their value lies potential to be reused. Once shared, become useful building blocks that can combined or modified developing new However, previous studies have shown storing workflow specifications alone is not sufficient ensure they successfully reused, without being able understand what the aim achieve re-enact them. To gain an understanding workflow, how it...