Wyniki wyszukiwania dla: Igor O. Popov

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Connecting the Dots: A Multi-pivot Approach to Data Exploration

Igor O. Popov, M. C. Schraefel, Wendy Hall, Nigel Shadbolt

Lecture Notes in Computer Science > The Semantic Web – ISWC 2011 > Research Track > 553-568

The purpose of data browsers is to help users identify and query data effectively without being overwhelmed by large complex graphs of data. A proposed solution to identify and query data in graph-based datasets is Pivoting (or set-oriented browsing), a many-to-many graph browsing technique that allows users to navigate the graph by starting from a set of instances followed by navigation through common...

rozdział

Achieving Maturity: The State of Practice in Ontology Engineering in 2009

Elena Simperl, Malgorzata Mochol, Tobias Bürger, Igor O. Popov

Lecture Notes in Computer Science > On the Move to Meaningful Internet Systems: OTM 2009 > Managing Ontologies > 983-991

In this paper we give an account of the current state of practice in ontology engineering (OE) based on the findings of a 6 months empirical survey that analyzed 148 OE projects. The survey focused on process-related issues and looked into the impact of research achievements on real-world OE projects, the complexity of particular ontology development tasks, the level of tool support, and the usage...

rozdział

Put in Your Postcode, Out Comes the Data: A Case Study

Tope Omitola, Christos L. Koumenides, Igor O. Popov, Yang Yang, więcej

Lecture Notes in Computer Science > The Semantic Web: Research and Applications > Semantic Web in Use Track > 318-332

A single datum or a set of a categorical data has little value on its own. Combinations of disparate sets of data increase the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of “join point”(s) to mesh different...

rozdział

Framework for Value Prediction of Knowledge-Based Applications

Ali Imtiaz, Tobias Bürger, Igor O. Popov, Elena Simperl

Lecture Notes in Business Information Processing > Business Information Systems Workshops > ECONOM / Enterprise X.0 Workshop > 153-158

Knowledge-based applications are characterized by their use of machine-understandable formalizations of expert knowledge. Complex knowledge structures, and the features which exploit them, can have a significant effect on the effort needed to develop such applications. Means to estimate this effort are, however, lacking. Furthermore, precise benefits of such applications, which are directly attributed...

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BENEFIT ESTIMATION (1)
COST ESTIMATION (1)
DATA BROWSING (1)
DATA CONSUMPTION (1)
DATA PUBLICATION (1)
GRAPH-DATA (1)
INTERACTION (1)
KNOWLEDGE-BASED TECHNOLOGIES (1)
LINKED DATA (1)
NODE(TAG=, PARTS=[NODE(TAG=I, PARTS=[FRAMEWORK FOR VALUE PREDICTION])]) (1)
PIVOTING (1)
PUBLIC OPEN DATA (1)
PUBLIC SECTOR INFORMATION (1)
SEMANTIC WEB (1)
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Wyniki wyszukiwania dla: Igor O. Popov

Connecting the Dots: A Multi-pivot Approach to Data Exploration

Achieving Maturity: The State of Practice in Ontology Engineering in 2009

Put in Your Postcode, Out Comes the Data: A Case Study

Framework for Value Prediction of Knowledge-Based Applications

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