20 research outputs found
State-of-the-art on evolution and reactivity
This report starts by, in Chapter 1, outlining aspects of querying and updating resources on
the Web and on the Semantic Web, including the development of query and update languages
to be carried out within the Rewerse project.
From this outline, it becomes clear that several existing research areas and topics are of
interest for this work in Rewerse. In the remainder of this report we further present state of
the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give
an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs;
in Chapter 4 event-condition-action rules, both in the context of active database systems and
in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks
State-of-the-art on evolution and reactivity
This report starts by, in Chapter 1, outlining aspects of querying and updating resources on
the Web and on the Semantic Web, including the development of query and update languages
to be carried out within the Rewerse project.
From this outline, it becomes clear that several existing research areas and topics are of
interest for this work in Rewerse. In the remainder of this report we further present state of
the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give
an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs;
in Chapter 4 event-condition-action rules, both in the context of active database systems and
in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks
Survey over Existing Query and Transformation Languages
A widely acknowledged obstacle for realizing the vision of the Semantic Web is the inability
of many current Semantic Web approaches to cope with data available in such diverging
representation formalisms as XML, RDF, or Topic Maps. A common query language is the first
step to allow transparent access to data in any of these formats. To further the understanding
of the requirements and approaches proposed for query languages in the conventional as well
as the Semantic Web, this report surveys a large number of query languages for accessing
XML, RDF, or Topic Maps. This is the first systematic survey to consider query languages from
all these areas. From the detailed survey of these query languages, a common classification
scheme is derived that is useful for understanding and differentiating languages within and
among all three areas
Web and Semantic Web Query Languages
A number of techniques have been developed to facilitate
powerful data retrieval on the Web and Semantic Web. Three categories
of Web query languages can be distinguished, according to the format
of the data they can retrieve: XML, RDF and Topic Maps. This article
introduces the spectrum of languages falling into these categories
and summarises their salient aspects. The languages are introduced using
common sample data and query types. Key aspects of the query
languages considered are stressed in a conclusion
Tool Support for Finding and Preventing Faults in Rule Bases
This thesis analyzes challenges for the correct creation of rule bases. Based on experiences and data from three rule base development projects, dedicated experiments and a survey of developers, ten main problem areas are identified. Four approaches in the area of Testing, Debugging, Anomaly Detection and Visualization are proposed and evaluated as remedies for these problem areas
Integrated software architecture to support modern experimental biology
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.Includes bibliographical references (p. 127-132).Over the past several years, the explosive growth of biological data generated by new high-throughput instruments has virtually begun to drown the biological community. There is no established infrastructure to deal with these data in a consistent and successful fashion. This thesis presents a new informatics platform capable of supporting a large subsection of the experimental methods found in modem biology. A consistent data definition strategy is outlined that can handle gel electrophoresis, microarray, fluorescence activated cell sorting, mass spectrometry, and microscopy within a single coherent set of information object definitions. A key issue for interoperability is that common attributes are made truly identical between the different methods. This dramatically decreases the overhead of separate and distinct classes for each method, and reserves the uniqueness for attributes that are different between the methods. Thus, at least one higher level of integration is obtained. The thesis shows that rich object-oriented modeling together with object-relational database features and the uniform treatment of data and metadata is an ideal candidate for complex experimental information integration tasks. This claim is substantiated by elaborating on the coherent set of information object definitions and testing the corresponded database using real experimental data. A first implementation of this work--ExperiBase--is an integrated software platform to store and query data generated by the leading experimental protocols used in biology within a single database. It provides: comprehensive database features for searching and classifying; web-based client interfaces; web services; data import and export capabilities to accommodate other data(cont.) repositories; and direct support for metadata produced by analysis programs. Using JDBC, Java Servlets and Java Server Pages, SOAP, XML, and IIOP/CORBA's technologies, the information architecture is portable and platform independent. The thesis develops an ExperiBase XML according to the single coherent set of information object definitions, and also presents a new way of database federation--translating heterogeneous database schemas into the common ExperiBase XML schema and then merging the output: XML messages to get data federated. ExperiBase has become a reference implementation of the I3C Life Science Object Ontologies group.by Shixin Zhang.Ph.D