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Table 1: The Ontology Base

in Scalability and Knowledge Reusability in Ontology
by unknown authors
"... In PAGE 4: ... Applications that commit to this ontology may retain their internal data models4. As discussed before, In DOGMA framework, ontology is decomposed into ontology base, as a set of lexons, and into instances of their explicit ontological commitments that form a commitment layer; respectively, Table1 and Table 2 represent the ontology base and the commitment layer of the ontology drawn in fig 2. The representation of the rules in the commitment layer is not restricted to a particular ontology language or standard, but we adopt a notational convention to specify which rules system/standard is used, in the form of a prefix of the rule.... ..."

Table 4.1 - Evaluation Method and Metrics for ontology-based versus keyword-based IR using recall and precision as criteria

in IST Project IST-2000-29243 OntoWeb OntoWeb: Ontology-based Information Exchange for Knowledge Management and Electronic Commerce D2.2 Successful Scenarios for Ontology-based Applications V1.0 OntoWeb
by Ontology-Based Information Exchange, Yannick Bouillon, Ecoublet Atlantide, Rose Dieng, Of Karlsruhe, Asuncion Gomez-perez, Mariano Fernández López

Table 1: The Challenge tools and their descriptions. Detailed descriptions of all the Challenge tools are available in the CKC workshop proceedings [15]

in The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
by Natalya F. Noy, Abhita Chugh, Harith Alani

Table 3: Ontology base for Example 2

in An Architecture and Toolset for Practical Ontology Engineering and Deployment: the DOGMA Approach
by Robert Meersman, Mustafa Jarrar, Vub Starlab 2002
Cited by 4

TABLE III A SAMPLE OF THE INTELLIONTO ONTOLOGY BASE

in Mining World Knowledge for Analysis of Search Engine Content
by John D. King, Yuefeng Li, Xiaohui Tao, Richi Nayak

Table 1. A summary of work that attempts to (semi-)automatically extract instance- like content from the web or other text corpora. Note that an ontology-based system al- most always utilizes a domain-specific ontology, but may still be a domain-independent system if it can easily exploit input ontologies from many different domains.

in Ontology-driven information extraction with OntoSyphon
by Luke K. McDowell, Michael Cafarella 2006
"... In PAGE 3: ... 2 Related work on Information Extraction from the Web The general task we face is to learn information from some textual source, such as the WWW, and encode that information in a structured language such as RDF. Table1 provides an interpretation of the most relevant other work in this area. The rows of this table distinguish systems that are domain-independent from those that rely on domain-specific techniques or extraction patterns.... In PAGE 3: ... The rows of this table distinguish systems that are domain-independent from those that rely on domain-specific techniques or extraction patterns. The columns of Table1 explain the extent to which each system utilizes an explicit ontology. In the leftmost column ( Text-based ) are information extrac- tion systems that are not explicitly based on an ontology.... ..."
Cited by 6

Table 1: Requirements for ontology selection and the evaluation and selection approaches that address them.

in Ontology Selection: Ontology Evaluation on the Real Semantic Web
by Marta Sabou, V. Lopez, Enrico Motta, Victoria Uren
"... In PAGE 4: ... 3.4 Requirements Summary In this section we synthesize the requirements brought forward both by libraries and new ontology based tools (see Table1 for an overview). The large size of ontology libraries requires selection methods to be automatic and to deal with several ontologies at the same time.... In PAGE 6: ...e addressed in the future (Section 5.5). 5.1 Requirements Met by Evaluation As evident from Table1 , only a few of the identified re- quirements for the real Semantic Web are addressed by cur- rent evaluation approaches. Indeed, these approaches have been developed for dealing with one ontology at a time.... ..."

Table 1. Sequences, clusters and number of cDNA libraries associated with each species of nematode hosted by NEMBASE

in Blaxter M: NEMBASE: a resource for parasitic nematode ESTs
by John Parkinson, Claire Whitton, Ralf Schmid, Marian Thomson, Mark Blaxter 2004
"... In PAGE 2: ...solution. This process has been applied to each of the 10 species of nematodes for which we are currently generating sequence data (see Table1 ). Web front ends are constructed using PHP, Perl-CGI scripts and custom Java tools to allow results from user-specified queries to be generated on the fly.... ..."
Cited by 5

Table 1: Benefits and drawbacks of the different ontology- based integration approaches

in Ontology-Based Integration of Information - A Survey of Existing Approaches
by H. Wache, T. Vögele, U. Visser, H. Stuckenschmidt, G. Schuster, H. Neumann, S. Hübner 2001
Cited by 110

Table 1. Evaluation of the Semantic Web layered architecture

in Abstract TOWARDS A SEMANTIC WEB LAYERED ARCHITECTURE
by A. J. Gerber
"... In PAGE 3: ... 3 The Evaluation of the Semantic Web Lay- ered Architecture The criteria for layered architectures are useful for the de- sign of new architectures or the evaluation of existing ones. In Table1 we summarise the adherence of the Semantic Web language architectures of Figures 1 and 2 using the criteria list from section 2.3.... ..."
Results 1 - 10 of 81,347