Abstract—Semantic models of data sources describe the mean-ing of the data in terms of the concepts and relationships defined by a domain ontology. Building such models is an important step toward integrating data from different sources, where we need to provide the user with a unified view of underlying sources. In this paper, we present a scalable approach to automatically learn semantic models of a structured data source by exploiting the knowledge of previously modeled sources. Our evaluation shows that the approach generates expressive semantic models with minimal user input, and it is scalable to large ontologies and data sources with many attributes. I
Neural language models are a powerful tool to embed words into semantic vector spaces. However, lear...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of ...
Semantic data models have emerged from a requirement for more expressive conceptual data models. Cur...
Abstract—Semantic models of data sources describe the mean-ing of the data in terms of the concepts ...
Abstract. Semantic models of data sources and services provide sup-port to automate many tasks such ...
Abstract. Linked data continues to grow at a rapid rate, but a limita-tion of a lot of the data that...
Abstract — The automatic acquisition of models to represent existing domain knowledge is a key step ...
This dissertation attempts to address the changing needs of data science and analytics: making it ea...
The Internet is full of information sources providing various types of data from weather forecasts t...
The infrastructure and tools necessary for large-scale data analytics, formerly the exclusive purvie...
Recent advances in computing, communications, and digital storage technologies, together with develo...
Abstract. Information sources such as spreadsheets and databases con-tain a vast amount of structure...
Abstract. In this paper we demonstrate an automatic approach for emergent semantics modeling of onto...
Everyday huge amount of data is being captured and stored. This can either be due to several social ...
The thesis of this paper is to present and discuss the scalability and reusability capabilities of D...
Neural language models are a powerful tool to embed words into semantic vector spaces. However, lear...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of ...
Semantic data models have emerged from a requirement for more expressive conceptual data models. Cur...
Abstract—Semantic models of data sources describe the mean-ing of the data in terms of the concepts ...
Abstract. Semantic models of data sources and services provide sup-port to automate many tasks such ...
Abstract. Linked data continues to grow at a rapid rate, but a limita-tion of a lot of the data that...
Abstract — The automatic acquisition of models to represent existing domain knowledge is a key step ...
This dissertation attempts to address the changing needs of data science and analytics: making it ea...
The Internet is full of information sources providing various types of data from weather forecasts t...
The infrastructure and tools necessary for large-scale data analytics, formerly the exclusive purvie...
Recent advances in computing, communications, and digital storage technologies, together with develo...
Abstract. Information sources such as spreadsheets and databases con-tain a vast amount of structure...
Abstract. In this paper we demonstrate an automatic approach for emergent semantics modeling of onto...
Everyday huge amount of data is being captured and stored. This can either be due to several social ...
The thesis of this paper is to present and discuss the scalability and reusability capabilities of D...
Neural language models are a powerful tool to embed words into semantic vector spaces. However, lear...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of ...
Semantic data models have emerged from a requirement for more expressive conceptual data models. Cur...