Integration, Provenance, and Temporal Queries for Large-Scale Knowledge Bases
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Summary
This dissertation proposes a framework that supports knowledge integration, temporal query evaluation and user-friendly interfaces for large-scale knowledge bases, and introduces IBMiner, a novel NLP-based system that derives knowledge bases from free text and preserves the provenance of extracted triples.
- Type
- article
- Published
- 2016-01-01
- Cited by
- 0
- References
- 84
- Access
- Open access
- OpenAlex
- https://openalex.org/W2767671820
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:30854557
Keywords
SPARQL, Computer science, RDF, Information retrieval, Knowledge base
References
- WHAD: Wikipedia historical attributes data - Historical structured data extraction and vandalism detection from the Wikipedia edit history
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- Business Information Systems, 13th International Conference, BIS 2010, Berlin, Germany, May 3-5, 2010. Proceedings
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- Immortal DB: transaction time support for SQL server
- Analysis of two existing and one new dynamic programming algorithm for the generation of optimal bushy join trees without cross products
- The BT-tree: A Branched and Temporal Access Method
- Query Processing Techniques for Multiversion Access Methods
- A New Framework for Textual Information Mining over Parse Trees
- Mining Semantic Structures from Syntactic Structures in Free Text Documents
- Point vs. interval-based query languages for temporal databases (extended abstract)
- IQ: The Case for Iterative Querying for Knowledge
- Towards the web of concepts
- SWiPE: searching wikipedia by example
- The RDF-3X engine for scalable management of RDF data
- A guided tour to approximate string matching
- Entity Synonyms for Structured Web Search
- TextRunner: Open Information Extraction on the Web
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