Notes:
Ontologies are a formal representation of knowledge that is used to define the concepts and relationships within a specific domain of information. In the context of dialog systems, ontologies are used to represent the knowledge and information that is relevant to the domain of the dialog system, such as the concepts, entities, and relationships that the system needs to understand and reason about in order to have a meaningful conversation with a user. This allows the dialog system to have a structured and organized understanding of the domain, which is essential for generating coherent and relevant responses to the user’s questions and requests. By using ontologies, dialog systems can better understand the user’s input and provide more accurate and relevant responses.
References:
See also:
AIML & Ontologies | Automatic Ontology & Dialog Systems | Databases & Ontologies | Jena Ontology API | Natural Language & Ontologies | ODP (Ontology Design Patterns) | Ontological Engineering | Ontology Alignment & Dialog Systems | Ontology Builder | Ontology Extraction Module | Ontology Extractor | Ontology In Dialog Systems | Ontology Parsers | Ontology-based QA Systems | Protégé Ontology Editor & Dialog Systems | SUMO (Suggested Upper Merged Ontology) & Dialog Systems
A reusable framework for health counseling dialogue systems based on a behavioral medicine ontology TW Bickmore, D Schulman, CL Sidner – Journal of biomedical informatics, 2011 – Elsevier Automated approaches to promoting health behavior change, such as exercise, diet, and medication adherence promotion, have the potential for significant positive impact on society. We describe a theory-driven computational model of dialogue that simulates a Cited by 53 Related articles All 18 versions
[BOOK] Goal-based communication using bdi agents as virtual humans in training: An ontology driven dialogue system J Van Oijen, W Van Doesburg, F Dignum – 2011 – Springer Abstract Simulations for training can greatly benefit from BDI agents as virtual humans playing the role of key players. Learning to communicate effectively is a key aspect of training to command a team that is managing a crisis. In this paper, we present a goal-based Cited by 15 Related articles All 11 versions
Probabilistic ontology trees for belief tracking in dialog systems N Mehta, R Gupta, A Raux, D Ramachandran… – … and Dialogue, 2010 – dl.acm.org Abstract We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of the underlying domain ontology called a probabilistic ontology tree (POT). POTs embody Cited by 15 Related articles All 18 versions
Ontology-based speech act identification in a bilingual dialog system using partial pattern trees JF Yeh, CH Wu, MJ Chen – Journal of the American Society for …, 2008 – Wiley Online Library Abstract This article presents a bilingual ontology-based dialog system with multiple services. An ontology-alignment algorithm is proposed to integrate ontologies of different languages for cross-language applications. A domain-specific ontology is further extracted Cited by 14 Related articles All 5 versions
Dynamic Use of Ontologies in Dialogue Systems. JP Pardal – HLT-NAACL (Doctoral Consortium), 2007 – aclweb.org Abstract Most dialogue systems are built with a single task in mind. This makes the extension of an existing system one of the major problems in the field as large parts of the system have to be modified. Some recent work has shown that ontologies have a role on the Cited by 7 Related articles All 14 versions
Ontology-based inference for information-seeking in natural language dialog system H Noh, C Lee, GG Lee – 2008 6th IEEE International …, 2008 – ieeexplore.ieee.org Abstract–Many natural language dialog systems have been developed with Relational DataBase (RDB) as a machinereadable knowledge source. However, RDB has some problems for answering the questions which need complex domain-specific information. In Cited by 5 Related articles All 6 versions
Ontology-based User Preferences and Social Search for Spoken Dialogue Systems Y Vanrompay, NB Mustapha… – Semantic and Social …, 2012 – ieeexplore.ieee.org Abstract—Many current spoken dialogue systems for search are domain-specific and do not take into account the preferences and interests of the user. In order to provide a more personalized answer tailored to the user needs, we propose a spoken dialogue system Cited by 3 Related articles All 11 versions
The use of domain ontologies for improving the adaptability and collaborative ability of a web dialogue system M González Bermúdez… – … Information Systems and …, 2013 – upcommons.upc.edu Resumen Dialogue systems can be used for guiding the users accessing web services, enhancing the web usability. However, they are expensive to develop and difficult to adapt to different types of web services. The knowledge model of a web service can be seen as the Cited by 4 Related articles All 7 versions
Ontology-Driven Instant Messaging-Based Dialogue System for Device Control JÁ Noguera-Arnaldos, MÁ Rodriguez-García… – … Internet Systems”, 2015 – Springer Abstract The im4Things platform aims to develop a communication interface for devices in the Internet of the Things (IoT) through intelligent dialogue based on written natural language over instant messaging services. This type of communication can be established Related articles
[BOOK] IT-Case Study: Ontology-Based Answer Selection in Dialog Systems C Pretzsch – 2007 – dl.acm.org Abstract In these days our daily life is more and more affected by computers. For this reason it is necessary to find a simple and intuitive way to interact with complex technologies. Natural language dialog systems could be the solution how humans and machines could
Using Ontology Reasoning in Building a Simple and Effective Dialog System for a Smart Home System CC Huang, A Liu, PC Zhou – Systems, Man, and Cybernetics ( …, 2015 – ieeexplore.ieee.org Abstract—This paper presents a dialog system for the user in interacting with a smart home system. Instead of using just a voice control for appliances, a dialog system gives the user a more natural way of communication with the smart home. The dialog system can take Cited by 1 Related articles
Ontology and parser dependencies approach for spoken dialogue system MS Yakoub, SA Selouani… – 2014 IEEE International …, 2014 – ieeexplore.ieee.org Abstract—In this paper, we propose a mobile spoken dialogue system (MOBILE SDS) based on parser dependencies and ontology. The turn (semantic) analysis algorithm integrated in the spoken dialogue understanding (SLU) module uses, at each turn of the dialogue, the Related articles All 2 versions
A domain ontology based metric to evaluate spoken dialog systems J Kleindienst, J Cur?n, M Labský – DiaHolmia, 2009 – academia.edu Abstract Current methods and techniques for measuring performance of spoken dialog systems are still very immature. They are either based on subjective evaluation (Wizard of Oz or other usability studies) or they are borrowing automatic measures used in speech Related articles All 10 versions
Mobile spoken dialogue system using parser dependencies and ontology MS Yakoub, SA Selouani, R Nkambou – International Journal of Speech …, 2015 – Springer Abstract In this paper, we propose a mobile spoken dialogue system with a new spoken dialogue understanding architecture (SLU). This new SLU module combines an ontology and a dependency graph to do semantic analysis. The turn analysis algorithm integrated in Related articles All 3 versions
Semantic Interoperability of e-Health Systems Using Dialogue-Based Mapping of Ontologies in Diabetes Management P Ganguly – Advances in Therapeutic Engineering, 2012 – books.google.com E-health involves the integration of information, human–machine, and health care technologies. As different modalities ofpatient care require applications running in heterogeneous computing environments, software interoperability is a major issue in e- Related articles All 6 versions
Ontology-based pattern generator and root semantic analyser for spoken dialogue systems Y Benahmed, SA Selouani… – Electrical & Computer …, 2012 – ieeexplore.ieee.org ABSTRACT This paper presents improvements in a dialogue interpreter sub-system for an application that allows the user to interact by speech with a Radio-Frequency IDentification (RFID) network working in a highly noisy environment. A new dialog framework is proposed Related articles All 3 versions
Affective Dialogue Ontology for Intelligent Tutoring Systems: Human Assessment Approach S Jiménez, R Juárez-Ramírez, VC Topete… – … Intelligent Systems and …, 2016 – Springer Abstract Researchers has focused on integrate the dialogue to learning systems, such as Intelligent Tutoring Systems. To date, the researchers have focused on make more intelligent, accuracy and faster this systems. However, they become cold. So, it is important