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Graphium Chrysalis: Exploiting Graph Database Engines to Analyze RDF Graphs
"... Abstract. We present Graphium Chrysalis, a tool to visualize the main graph invariants that characterize RDF graphs, i.e., graph properties that are independent of the graph representation such as, vertex and edge counts, in-and out-degree distribution, and in-coming and out-going h-index. Graph in ..."
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and analyze the invariants that describe graphs of existing RDF benchmarks. Additionally, we will show the expressiveness power of state-of-the-art graph database engine APIs (e.g., Neo4j or Sparksee 1 ), when main graph invariants are computed against RDF graphs.
GRAPHIUM: Visualizing Performance of Graph and RDF Engines on Linked Data
"... Abstract. We present GRAPHIUM a tool to visualize trends and patterns in the performance of existing graph and RDF engines. We will demonstrate GRAPHIUM and attendees will be able to observe and analyze the performance exhibited by Neo4j, DEX, HypergraphDB and RDF-3x when core graph-based and mining ..."
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Abstract. We present GRAPHIUM a tool to visualize trends and patterns in the performance of existing graph and RDF engines. We will demonstrate GRAPHIUM and attendees will be able to observe and analyze the performance exhibited by Neo4j, DEX, HypergraphDB and RDF-3x when core graph
Author manuscript, published in "International Conference on Digital Information Processing and Communications, Ostrava: Czech Republic (2011)" A new approach based on NµSMV Model to query semantic
, 2011
"... Abstract. The language most frequently used to represent the semantic graphs is the RDF (W3C standard for meta-modeling). The construction of semantic graphs is a source of numerous errors of interpretation. Processing of large semantic graphs can be a limit to use semantics in modern information sy ..."
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SMV in order to verify the consistency of the data. The data integration and sharing activities carried on the framework of the Semantic Web lead to large knowledge databases that must be queried, analyzed, and exploited efficiently. Many representation languages of the knowledge of the Semantic Web, starting
Recommended Citation
, 2007
"... Operational risk assessment of chemical industries by exploiting accident databases ..."
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Operational risk assessment of chemical industries by exploiting accident databases
EVALUATION OF THE PAGERANK ALGORITHM EFFECTIVENESS
"... In this paper the challenges in building good search engines are discussed. Many of the search engines use well-known information retrieval algorithms and tech-niques. They use Web crawlers to maintain their index databases amortizing the cost of crawling and indexing over the millions of queries re ..."
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In this paper the challenges in building good search engines are discussed. Many of the search engines use well-known information retrieval algorithms and tech-niques. They use Web crawlers to maintain their index databases amortizing the cost of crawling and indexing over the millions of queries
DOI 10.1007/s00778-012-0302-x SPECIAL ISSUE PAPER Automating the database schema evolution process
"... Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy applicati ..."
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Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy
Castor: Using Constraint Programming to Solve SPARQL Queries
"... As the amount of available data continues to grow in the semantic web, so does the need for efficient query engines. SPARQL [3] is a query language for RDF graphs standardized by the W3C. It is implemented by many triple stores like Sesame, 4store, Virtuoso, etc. However, they are still orders of ma ..."
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As the amount of available data continues to grow in the semantic web, so does the need for efficient query engines. SPARQL [3] is a query language for RDF graphs standardized by the W3C. It is implemented by many triple stores like Sesame, 4store, Virtuoso, etc. However, they are still orders
Towards a query optimizer for text-centric tasks
- ACM Transactions on Database Systems
, 2007
"... Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive structured relations from unstructured text; as another example, focused crawlers explore the Web to locate pages about ..."
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Cited by 15 (6 self)
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specific topics. Execution plans for text-centric tasks follow two general paradigms for processing a text database: either we can scan, or “crawl, ” the text database or, alternatively, we can exploit search engine indexes and retrieve the documents of interest via carefully crafted queries constructed
Contents
, 2007
"... Distributed systems have moved from application-specific, bespoke and mutually incompatible network protocols to open standards based on TCP/IP, HTTP, and SGML- the foundations of the World Wide Web (WWW). The emergence of the WWW has brought about a revolution in computer resource discovery and exp ..."
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online collaborative tool takes advantage of Description Logics, Named Graphs, digital signatures and Grids technologies, to improve collaboration for software engineers working in distributed software development, using semantic knowledge federation and inference rules. Such a system goes well beyond
ABSTRACT To Search or to Crawl? Towards a Query Optimizer for Text-Centric Tasks
"... Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive structured relations from unstructured text; as another example, focused crawlers explore the web to locate pages about ..."
Abstract
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specific topics. Execution plans for text-centric tasks follow two general paradigms for processing a text database: either we can scan, or “crawl, ” the text database or, alternatively, we can exploit search engine indexes and retrieve the documents of interest via carefully crafted queries constructed
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