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Ontology is a general term used by researchers who want to share information in a specific domain. One of the hallmarks of the greatest success of a powerful manager of an organization is his ability to interpret unplanned and unrelated…

Computers and Society · Computer Science 2025-03-11 Neda Bagherzadeh , Saeed Setayeshi , Samaneh Yazdani

As ontologies proliferate and automatic reasoners become more powerful, the problem of protecting sensitive information becomes more serious. In particular, as facts can be inferred from other facts, it becomes increasingly likely that…

Artificial Intelligence · Computer Science 2009-04-02 Genady Grabarnik , Aaron Kershenbaum

Training and refreshing a web-scale Question Answering (QA) system for a multi-lingual commercial search engine often requires a huge amount of training examples. One principled idea is to mine implicit relevance feedback from user behavior…

Information Retrieval · Computer Science 2020-06-17 Linjun Shou , Shining Bo , Feixiang Cheng , Ming Gong , Jian Pei , Daxin Jiang

Ontologies usually suffer from the semantic heterogeneity when simultaneously used in information sharing, merging, integrating and querying processes. Therefore, the similarity identification between ontologies being used becomes a…

Artificial Intelligence · Computer Science 2010-06-24 Amjad Farooq , Syed Ahsan , Abad Shah

In the search for more effective education, there is a widespread effort to develop better approaches to personalize student education. Unassisted, educators often do not have time or resources to personally support every student in a given…

Computers and Society · Computer Science 2024-09-06 Ryan Hare , Ying Tang

With the development of the Semantic Web technology, the use of ontologies to store and retrieve information covering several domains has increased. However, very few ontologies are able to cope with the ever-growing need of frequently…

Computation and Language · Computer Science 2020-04-24 Mohammed Maree , Mohammed Belkhatir

Relational data sources are still one of the most popular ways to store enterprise or Web data, however, the issue with relational schema is the lack of a well-defined semantic description. A common ontology provides a way to represent the…

Machine Learning · Computer Science 2018-01-31 Natalia Ruemmele , Yuriy Tyshetskiy , Alex Collins

Reasoning with ontologies is one of the core fields of research in Description Logics. A variety of efficient reasoner with highly optimized algorithms have been developed to allow inference tasks on expressive ontology languages such as…

Artificial Intelligence · Computer Science 2015-10-01 Nourhène Alaya , Sadok Ben Yahia , Myriam Lamolle

Metamodeling refers to scenarios in ontologies in which classes and roles can be members of classes or occur in roles. This is a desirable modelling feature in several applications, but allowing it without restrictions is problematic for…

Logic in Computer Science · Computer Science 2025-02-14 Haya Majid Qureshi , Wolfgang Faber

Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it helps avoid irrelevant information and captures the users' search intents.…

Machine Learning · Computer Science 2023-10-06 Jianghong Zhou , Joyce C. Ho , Chen Lin , Eugene Agichtein

The quality of ontologies and their alignments is crucial for developing high-quality semantics-based applications. Traditional debugging techniques repair ontology networks by removing unwanted axioms and mappings, but may thereby remove…

Artificial Intelligence · Computer Science 2024-07-29 Ying Li , Patrick Lambrix

We addressed the problem of a lack of semantic representation for user-centric explanations and different explanation types in our Explanation Ontology (https://purl.org/heals/eo). Such a representation is increasingly necessary as…

Artificial Intelligence · Computer Science 2020-10-06 Shruthi Chari , Oshani Seneviratne , Daniel M. Gruen , Morgan A. Foreman , Amar K. Das , Deborah L. McGuinness

Query optimization has been studied using machine learning, reinforcement learning, and, more recently, graph-based convolutional networks. Ontology, as a structured, information-rich knowledge representation, can provide context,…

Databases · Computer Science 2025-11-11 Songhui Yue , Yang Shao , Sean Hayes

Successful management of emotional stimuli is a pivotal issue concerning Affective Computing (AC) and the related research. As a subfield of Artificial Intelligence, AC is concerned not only with the design of computer systems and the…

Artificial Intelligence · Computer Science 2009-03-05 Marko Horvat , Sinisa Popovic , Nikola Bogunovic , Kresimir Cosic

In semantic parsing of geographical queries against real-world databases such as OpenStreetMap (OSM), unique correct answers do not necessarily exist. Instead, the truth might be lying in the eye of the user, who needs to enter an…

Computation and Language · Computer Science 2021-06-23 Michael Staniek , Stefan Riezler

This paper presents the principles of ontology-supported and ontology-driven conceptual navigation. Conceptual navigation realizes the independence between resources and links to facilitate interoperability and reusability. An engine builds…

Information Retrieval · Computer Science 2007-05-23 Michel Crampes , Sylvie Ranwez

A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks. Different from the state-of-the-art approaches, the proposed approach simultaneously selects the…

Signal Processing · Electrical Eng. & Systems 2020-05-04 Metin Ozturk , Attai Ibrahim Abubakar , Rao Naveed Bin Rais , Mona Jaber , Sajjad Hussain , Muhammad Ali Imran

The task of verifying the compatibility between interacting web services has traditionally been limited to checking the compatibility of the interaction protocol in terms of message sequences and the type of data being exchanged. Since web…

Artificial Intelligence · Computer Science 2020-07-17 Priyankar Ghosh , Pallab Dasgupta

A lot of information on the web is geographically referenced. Discovering and retrieving this geographic information to satisfy various users needs across both open and distributed Spatial Data Infrastructures (SDI) poses eminent research…

Information Retrieval · Computer Science 2014-06-10 Adeyinka K. Akanbi , Olusanya Y. Agunbiade , Sadiq Kuti , Olumuyiwa J. Dehinbo

Semantic web is the next generation web, which concerns the meaning of web documents It has the immense power to pull out the most relevant information from the web pages, which is also meaningful to any user, using software agents. In…

Information Retrieval · Computer Science 2011-02-01 Debajyoti Mukhopadhyay , Chandrima Chakrabarti , Sounak Chakravorty