A5018319857- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Web Data Mining and Analysis
- Data Quality and Management
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Advanced Data Storage Technologies
- Biomedical Text Mining and Ontologies
- Complex Network Analysis Techniques
- Algorithms and Data Compression
- Natural Language Processing Techniques
- Graph Theory and Algorithms
- Video Analysis and Summarization
- Data Mining Algorithms and Applications
- Web visibility and informetrics
- Logic, Reasoning, and Knowledge
- Genomics and Phylogenetic Studies
- Multimedia Communication and Technology
- Topic Modeling
- Peer-to-Peer Network Technologies
- Information Retrieval and Search Behavior
- Distributed systems and fault tolerance
- Recommender Systems and Techniques
Ollscoil na Gaillimhe – University of Galway
2007-2013
Enterprise Ireland
2007-2008
National University of Ireland
2007
Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to 'linked-data' approach de-referencing resource URIs. Existing search engines are focused database-like functionality, compromising index size, query performance live updates. We present Sindice, a lookup over resources. Our allows applications automatically locate documents containing information about given resource. In addition, we allow retrieval through inverse-functional properties, offer...
One of the reasons for slow adoption SPARQL is complexity in query formulation due to data diversity. The principal barrier a user faces when trying formulate that he generally has no information about underlying structure and vocabulary data. In this paper, we address problem at maximum scale can think of: providing assistance formulating queries over entire Sindice collection - 15 billion triples counting coming from more than 300K datasets. We present method help users complex across...
Object-oriented programming is the current mainstream paradigm but existing RDF APIs are mostly triple-oriented. Traditional techniques for bridging a similar gap between relational databases and object-oriented programs cannot be applied directly given different nature of Semantic Web data, example in semantics class membership, inheritance relations, object conformance to schemas.
We demonstrate Sig.ma, both a service and an end user application to access the Web of Data as integrated information space.
In many applications, it is convenient to substitute a large data graph with smaller homomorphic graph. This paper investigates approaches for summarising massive graphs. general, graphs are processed using shared-nothing infrastructure such as MapReduce. However, accurate summarisation algorithms suboptimal this kind of environment they require multiple iterations over the We investigate approximate that efficient compute in infrastructure. define quality assessment model summary regards...
More and more (semi) structured information is becoming available on the Web in form of documents embedding metadata (e.g., RDF, RDFa, Microformats others). There are already hundreds millions such accessible their number growing rapidly. This calls for large scale systems providing effective means searching retrieving this semi-structured with ultimate goal making it exploitable by humans machines alike. article examines shift from traditional web document model to a data object (entity)...
We present Sig.ma, both a service and an end user application to access the Web of Data as integrated information space. Sig.ma uses holistic approach in which large scale semantic indexing, logic reasoning, data aggregation heuristics, ad-hoc ontology consolidation, external services responsive interaction all play together create rich entity descriptions. These consolidated descriptions then form base for embeddable mashups, machine oriented well browsing services. Finally, we discuss...