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Felix Michel

dblp:90/77 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 4 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
3 papers
Data models and query languages · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
XML
0.122007
XML-based XML schema access · WWW 2007
SPath: a path language for XML schema · WWW 2007
Data models and query languages › schema languages
XML schema
0.122007
SPath: a path language for XML schema · WWW 2007
Extensible schema documentation with XSLT 2.0 · WWW 2007

Methods — techniques the papers use, named apart from their topics

schematron · 0.1XSLT · 0.1XPath extension · 0.1
YearPublicationVenuePosition
2015 A Task-Centered Framework for Computationally-Grounded Science Collaborations
abstract
Collaboration is ubiquitous in today's science, yet there is limited support for coordinating scientific work. The general-purpose tools that are typically used (e.g., email, shared document editing, social coding sites), have still not replaced in-person meetings, phone calls, and extensive emails needed to coordinate and track collaborative activities. Scientists with diverse knowledge and skills around the globe could collaborate by opening scientific processes that expose all tasks and activities publicly to achieve a shared scientific question. This paper describes the Organic Data Science framework to support scientific collaborations that revolve around complex science questions that require significant coordination, entice contributors to remain engaged for extended periods of time, and enable continuous growth to accommodate new contributors as the work evolves over time. We discuss how the design of this framework incorporates principles followed by successful on-line communities. We present initial results to date of several communities that are collaborating using this framework.
Yolanda Gil, Felix Michel, Varun Ratnakar, Matheus Hauder, Christopher J. Duffy, Hilary Dugan, Paul C. Hanson
e-Science2
2015 Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes
Yolanda Gil, Felix Michel, Varun Ratnakar, Jordan S. Read, Matheus Hauder, Christopher J. Duffy, Paul C. Hanson, Hilary Dugan
ESWC2
2007 Extensible schema documentation with XSLT 2.0
abstract
XML Schema documents are defined using an XML syntax, which means that the idea of generating schema documentation through standard XML technologies is intriguing. We present X2Doc, a framework for generating schema-documentation solely through XSLT. The framework uses SCX, an XML syntax for XML Schema components, as intermediate format and produces XML-based output formats. Using a modular set of XSLT stylesheets, X2Doc is highly configurable and carefully crafted towards extensibility. This proves especially useful for composite schemas, where additional schema information like Schematron rules are embedded into XML Schemas.
Felix Michel, Erik Wilde
WWW1
2007 SPath: a path language for XML schema
abstract
XML is increasingly being used as a typed data format, and therefore it becomes more important to gain access to the type system; very often this is an XML Schema. The XML Schema Path Language (SPath) presented in this paper provides access to XML Schema components by extending the well-known XPath language to also include the domain of XML Schemas. Using SPath, XML developers gain access to XML Schemas and thus can more easily develop software which is type- or schema-aware, and thus more robust.
Erik Wilde, Felix Michel
WWW2
2007 XML-based XML schema access
abstract
XML Schema's abstract data model consists of components, which are the structures that eventually define a schema as a whole. XML Schema's XML syntax, on the other hand, is not a direct representation of the schema components, and it proves to be surprisingly hard to derive a schema's components from the XML syntax. The Schema Component XML Syntax (SCX) is a representation which attempts to map schema components as faithfully as possible to XML structures. SCX serves as the starting point for applications which need access to schema components and want to do so using standardized and widely available XML technologies.
Erik Wilde, Felix Michel
WWW2