The European Union Agency for Railways is an authority, tasked with the provision of a legal and technical framework to support harmonized safe cross-border railway operations throughout EU. So far, agency relied on traditional application-centric approaches data exchange among multiple actors interacting within domain. This lead however, isolated digital environments that consequently added ba...

This work presents an embodied agent that can adapt its semantic segmentation network to new indoor environments in a fully autonomous way. Because networks fail generalize well unseen environments, the collects images of environment which are then used for self-supervised domain adaptation. We formulate this as informative path planning problem, and present novel information gain leverages unc...

A natural language interface to a database (NLID) needs both syntactic information about the structure of language and semantic information about what words and phrases mean with respect to the database. A semantic part of the NLID can implicitly or explicitly provide constraints on the input language. A parser can use these constraints to resolve ambiguities and to decrease overall response ti...

Existing approaches to Semantic Web Services (SWS) require a domain ontology and a semantic description of the service. In the case of lightweight SWS approaches, such as SAWSDL, service description is achieved by semantically annotating existing web service interfaces. Other approaches such as OWL-S and WSMO describe services in a separate ontology. So, existing approaches separate service des...

Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguis...

This thesis investigates how semantic resources can be deployed to improve the accuracy of an open domain question answering (QA) system. In particular, two types of semantic resources have been utilized to answer factoid questions: (1) Semantic parsing techniques are applied to analyze questions for semantic structures and to find phrases in the knowledge source that match these structures. (2...

Due to the high complexity of natural language, acquisition of high quality knowledge for the purpose of fine-grained data processing still mainly relies on manual labour at present, which is extremely laborious and time consuming. In this paper, a new automatic approach using semantic annotating and pattern mining is proposed to assist engineers for domain knowledge acquisition. This approach ...

We compare self-training with and without reranking for parser domain adaptation, and examine the impact of syntactic parser adaptation on a semantic role labeling system. Although self-training without reranking has been found not to improve in-domain accuracy for parsers trained on the WSJ Penn Treebank, we show that it is surprisingly effective for parser domain adaptation. We also show that...

The semantic web offers a great deal of deviation from the way in which the current search engines which are based on the traditional information search theory work. Semantic search is carried out by ontology based intelligent information retrieval. So a good semantic search needs a good ontology. The ontology developers need more familiar notations and tools for a uniform representation of ont...

Linked Data use has expanded rapidly in recent years; however there is still a lack of support for casual users to create complex queries over this Web of Data. Until this occurs, the real benefits of having such rich metadata available will not be realised by the general public. This paper introduces an approach to supporting casual users discover relevant information across multiple Linked Da...