# --------------------------------------------------------
# MySQL database dump: iswc
# --------------------------------------------------------
#
# `conferences`
#
CREATE TABLE conferences (
ConfID int(11) default NULL,
Name text,
URI text,
Date text,
Location text
) TYPE=MyISAM;
#
# `conferences`
#
INSERT INTO conferences VALUES (23541, 'International Semantic Web Conference 2002', 'http://annotation.semanticweb.org/iswc/iswc.daml#ISWC_2002', 'June 9-12, 2002', 'Sardinia');
# --------------------------------------------------------
#
# `organizations`
#
CREATE TABLE organizations (
OrgID int(11) default NULL,
Type text,
Name text,
Address mediumtext,
Location text,
Country text,
URI text,
Belongsto int(11) default NULL,
Homepage text
) TYPE=MyISAM;
#
# `organizations`
#
INSERT INTO organizations VALUES (1, 'Organization', 'USC Information Sciences Institute', '4676 Admirality Way, Marina Del Rey', 'California', 'United States', 'http://trellis.semanticweb.org/expect/web/semanticweb/iswc02_trellis.pdf#ISI', NULL, NULL);
INSERT INTO organizations VALUES (2, 'University', 'University of Karlsruhe', NULL, NULL, NULL, 'http://annotation.semanticweb.org/iswc/iswc.daml#University_of_Karlsruhe', NULL, NULL);
INSERT INTO organizations VALUES (3, 'University', 'International University in Germany', NULL, NULL, NULL, 'http://www.i-u.de/schools/eberhart/iswc2002/#International University in Germany', NULL, NULL);
INSERT INTO organizations VALUES (4, 'Institut', 'AIFB', NULL, 'Karlsruhe', 'Germany', 'http://annotation.semanticweb.org/iswc/iswc.daml#AIFB', 3, 'http://www.aifb.uni-karlsruhe.de/');
INSERT INTO organizations VALUES (5, 'Department', 'Department of Computer Science', 'De Boelelaan 1081a', NULL, 'The Netherlands', 'http://www.cs.vu.nl/~borys/papers/abstracts/ISWC2002.html#CSVUNL', 6, NULL);
INSERT INTO organizations VALUES (6, 'University', 'Universiteit Amsterdam', 'De Boelelaan 1105', NULL, 'The Netherlands', 'http://www.cs.vu.nl/~borys/papers/abstracts/ISWC2002.html#VrijeUniversiteitAmsterdam', NULL, NULL);
INSERT INTO organizations VALUES (7, 'Organization', 'Hewlett-Packard Laboratories, Bristol', NULL, 'Bristol', 'UK', 'http://www.hpl.hp.co.uk#HPL', NULL, 'http://www.hpl.hp.com/');
INSERT INTO organizations VALUES (8, 'Institut', 'Institute for the Protection and Security of the Citizen', 'Institute for the Protection and Security of the Citizen\nVia Enrico Fermi, 1\n21020 - Ispra (Italy)', NULL, NULL, 'http://dma.jrc.it#Institute for the Protection and Security of the Citizen', NULL, NULL);
INSERT INTO organizations VALUES (9, 'Department', 'Dipartimento di Ingegneria dell\'Informazione', ' Via Vignolese 905 – Modena Italy', NULL, 'Italy', 'http://www.dbgroup.unimo.it/iswc/iswc.html#DII', NULL, NULL);
# --------------------------------------------------------
#
# `papers`
#
CREATE TABLE papers (
PaperID int(11) default NULL,
Title text,
Abstract mediumtext,
URI text,
Year text,
Conference int(11) default NULL
) TYPE=MyISAM;
#
# `papers`
#
INSERT INTO papers VALUES (1, 'Trusting Information Sources One Citizen at a Time', 'This paper describes an approach to derive assessments about information \n sources based on individual feedback about the sources. We describe \n TRELLIS, a system that helps users annotate their analysis of \n alternative information sources that can be contradictory and \n incomplete. As the user makes a decision on which sources to dismiss and \n which to believe in making a final decision, TRELLIS captures the \n derivation of the decision in a semantic markup. TRELLIS then uses these \n annotations to derive an assessment of the source based on the \n annotations of many individuals. Our work builds on the Semantic Web and \n presents a tool that helps users create annotations that are in a mix of \n formal and human language, and exploits the formal representations to \n derive measures of trust in the content of Web resources and their \n original source.', 'http://trellis.semanticweb.org/expect/web/semanticweb/iswc02_trellis.pdf#Trusting Information Sources One Citizen at a Time', '2002', 23541);
INSERT INTO papers VALUES (2, 'Automatic Generation of Java/SQL based Inference Engines from RDF Schema and RuleML', 'This paper describes two approaches for automatically converting RDF Schema \nand RuleML sources into an inference engine and storage repository. Rather than \nusing traditional inference systems, our solution bases on mainstream \ntechnologies like Java and relational database systems. While this necessarily \nimposes some restrictions, the ease of integration into an existing IT landscape \nis a major advantage. We present the conversion tools and their limitations. \nFurthermore, an extension to RuleML is proposed, that allows Java-enabled \nreaction rules, where calls to Java libraries can be performed upon a rule \nfiring. This requires hosts to be Java-enabled when rules and code are moved \nacross the web. However, the solution allows for great engineering \nflexibility.', 'http://www.i-u.de/schools/eberhart/iswc2002/#Automatic Generation of Java/SQL based Inference Engines from RDF Schema and RuleML', '2002', 23541);
INSERT INTO papers VALUES (3, 'Integrating Vocabularies: Discovering and Representing Vocabulary Maps', 'The Semantic Web would enable new ways of doing business on the
Web \n that require development of advanced business document
integration \n technologies performing intelligent document
transformation. The \n documents use different vocabularies that
consist of large \n hierarchies of terms. Accordingly, vocabulary
mapping and \n transformation becomes an important task in the whole
business \n document transformation process. It includes several
subtasks: map \n discovery, map representation, and map execution
that must be \n seamlessly integrated into the document integration
process. In this \n paper we discuss the process of discovering the
maps between two \n vocabularies assuming availability of two sets of
documents, each \n using one of the vocabularies. We take the
vocabularies of product \n classification codes as a playground and
propose a reusable map \n discovery technique based on Bayesian text
classification approach. \n We show how the discovered maps can be
integrated into the document \n transformation process.', 'http://www.cs.vu.nl/~borys/papers/abstracts/ISWC2002.html#OmelayenkoISWC2002', '2002', 23541);
INSERT INTO papers VALUES (4, 'Three Implementations of SquishQL, a Simple RDF Query Language', 'RDF provides a basic way to represent data for the Semantic Web. We have \n been experimenting with the query paradigm for working with RDF data in \n semantic web applications. Query of RDF data provides a declarative \n access mechanism that is suitable for application usage and remote \n access. We describe work on a conceptual model for querying RDF data \n that refines ideas first presented in at the W3C workshop on Query \n Languages and the design of one possible syntax, derived from rdfDB, \n that is suitable for application programmers. Further, we present \n experience gained in three implementations of the query language.', 'http://www-uk.hpl.hp.com/people/afs/Abstracts/ISWC2002-SquishQL-Abstract.html#SquishQL', '2002', 23541);
INSERT INTO papers VALUES (5, 'A Data Integration Framework for E-commerce Product Classification', 'A marketplace is \n the place in which the demand and supply of buyers and vendors \n participating in a business process may meet. Therefore, electronic \n marketplaces are virtual communities in which buyers may meet proposals \n of several suppliers and make the best choice. In the electronic \n commerce world, the comparison between different products is blocked due \n to the lack of standards (on the contrary, the proliferation of \n standards) describing and classifying them. Therefore, the need for B2B \n and B2C marketplaces is to reclassify products and goods according to \n different standardization models. This paper aims to face this problem \n by suggesting the use of a semi-automatic methodology, supported by a \n tool (SI-Designer), to define the mapping among different e-commerce \n product classification standards. This methodology was developed for the \n MOMIS-system within the Intelligent Integration of Information research \n area. We describe our extension to the methodology that makes it \n applyable in general to product classification standard, by selecting a \n fragment of ECCMA/UNSPSC and ecl@ss standard.', 'http://www.dbgroup.unimo.it/iswc/iswc.html#A Data Integration Framework for E-commerce Product Classification', '2002', 23541);
# --------------------------------------------------------
#
# `persons`
#
CREATE TABLE persons (
PerID int(11) default NULL,
Type text,
FirstName text,
LastName text,
Address text,
Email text,
Homepage text,
Phone text,
URI text,
Photo text
) TYPE=MyISAM;
#
# `persons`
#
INSERT INTO persons VALUES (1, 'Professor', 'Yolanda', 'Gil', NULL, 'mailto:gil@isi.edu', 'http://www.isi.edu/~gil', '310-448-8794', 'http://trellis.semanticweb.org/expect/web/semanticweb/iswc02_trellis.pdf#Yolanda Gil', NULL);
INSERT INTO persons VALUES (2, 'Angestellter', 'Varun', 'Ratnakar', NULL, 'mailto:varunr@isi.edu', 'http://www.isi.edu/~varunr', NULL, 'http://trellis.semanticweb.org/expect/web/semanticweb/iswc02_trellis.pdf#Varun Ratnakar', NULL);
INSERT INTO persons VALUES (3, 'Wimi', 'Jim', 'Blythe', NULL, 'mailto:blythe@isi.edu', NULL, NULL, 'http://trellis.semanticweb.org/expect/web/semanticweb/iswc02_trellis.pdf#Jim Blythe', NULL);
INSERT INTO persons VALUES (4, 'Wimi', 'Andreas', 'Eberhart', 'International University in Germany Campus 2 76646 Bruchsal Germany', 'mailto:eberhart@i-u.de', 'http://www.i-u.de/schools/eberhart/', '+49 7251 700 222', 'http://www.i-u.de/schools/eberhart/iswc2002/#Andreas Eberhart', 'http://www.i-u.de/images/andi.jpg');
INSERT INTO persons VALUES (5, 'Wimi2', 'Borys', 'Omelayenko', 'Vrije Universiteit, Division of Mathematics and Computer Science, De Boelelaan 1081a,1081hv, Amsterdam, The Netherlands', 'mailto:borys@cs.vu.nl', 'http://www.cs.vu.nl/~borys#Borys', NULL, 'http://www.cs.vu.nl/~borys/papers/abstracts/ISWC2002.html#Bomelayenko', NULL);
INSERT INTO persons VALUES (6, 'Wimi', 'Andy', 'Seaborne', 'Hewlett-Packard Laboratories, Bristol, BS34 8QZ, UK', 'mailto:andy_seaborne@hp.com', 'http://www-uk.hpl.hp.com/people/afs/fhomepage', NULL, 'http://www-uk.hpl.hp.com/people/afs#andy_seaborne', NULL);
INSERT INTO persons VALUES (9, 'Wimi', 'Alberto', 'Reggiori', NULL, 'mailto:areggiori@webweaving.org', 'http://reggiori.webweaving.org', NULL, 'http://reggiori.webweaving.org#Alberto Reggiori', NULL);
INSERT INTO persons VALUES (10, 'Professor', 'Sonia', 'Bergamaschi', 'DII- Universita di Modena e Reggio Emilia via Vignolese 905 41100 Modena', 'mailto:bergamaschi.sonia@unimo.it', 'http://www.dbgroup.unimo.it/Bergamaschi.html', '+39 059 2056132', 'http://www.dbgroup.unimo.it/iswc/iswc.html#S. Bergamaschi', NULL);
INSERT INTO persons VALUES (11, 'Wimi2', 'Francesco', 'Guerra', 'DII- Universita di Modena e Reggio Emilia via Vignolese 905 41100 Modena Italy', 'mailto:guerra.francesco@unimo.it', 'http://www.dbgroup.unimo.it/~guerra/', '+39 059 20561543', 'http://www.dbgroup.unimo.it/iswc/iswc.html#F. Guerra', NULL);
# --------------------------------------------------------
#
# `rel_paper_topic`
#
CREATE TABLE rel_paper_topic (
PaperID int(11) default NULL,
TopicID int(11) default NULL
) TYPE=MyISAM;
#
# `rel_paper_topic`
#
INSERT INTO rel_paper_topic VALUES (1, 4);
INSERT INTO rel_paper_topic VALUES (2, 10);
INSERT INTO rel_paper_topic VALUES (2, 11);
INSERT INTO rel_paper_topic VALUES (3, 5);
INSERT INTO rel_paper_topic VALUES (3, 11);
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INSERT INTO rel_paper_topic VALUES (4, 11);
INSERT INTO rel_paper_topic VALUES (4, 14);
INSERT INTO rel_paper_topic VALUES (5, 2);
INSERT INTO rel_paper_topic VALUES (5, 10);
INSERT INTO rel_paper_topic VALUES (5, 13);
# --------------------------------------------------------
#
# `rel_person_organization`
#
CREATE TABLE rel_person_organization (
PersonID int(11) default NULL,
OrganizationID int(11) default NULL
) TYPE=MyISAM;
#
# `rel_person_organization`
#
INSERT INTO rel_person_organization VALUES (1, 1);
INSERT INTO rel_person_organization VALUES (2, 1);
INSERT INTO rel_person_organization VALUES (3, 1);
INSERT INTO rel_person_organization VALUES (4, 3);
INSERT INTO rel_person_organization VALUES (5, 5);
INSERT INTO rel_person_organization VALUES (5, 6);
INSERT INTO rel_person_organization VALUES (6, 7);
INSERT INTO rel_person_organization VALUES (9, 8);
INSERT INTO rel_person_organization VALUES (10, 9);
INSERT INTO rel_person_organization VALUES (11, 9);
# --------------------------------------------------------
#
# `rel_person_paper`
#
CREATE TABLE rel_person_paper (
PersonID int(11) default NULL,
PaperID int(11) default NULL
) TYPE=MyISAM;
#
# `rel_person_paper`
#
INSERT INTO rel_person_paper VALUES (1, 1);
INSERT INTO rel_person_paper VALUES (1, 3);
INSERT INTO rel_person_paper VALUES (1, 5);
INSERT INTO rel_person_paper VALUES (2, 1);
INSERT INTO rel_person_paper VALUES (3, 1);
INSERT INTO rel_person_paper VALUES (4, 2);
INSERT INTO rel_person_paper VALUES (5, 3);
INSERT INTO rel_person_paper VALUES (6, 4);
INSERT INTO rel_person_paper VALUES (9, 4);
INSERT INTO rel_person_paper VALUES (10, 5);
INSERT INTO rel_person_paper VALUES (11, 5);
# --------------------------------------------------------
#
# `rel_person_topic`
#
CREATE TABLE rel_person_topic (
PersonID int(11) default NULL,
TopicID int(11) default NULL
) TYPE=MyISAM;
#
# `rel_person_topic`
#
INSERT INTO rel_person_topic VALUES (1, 1);
INSERT INTO rel_person_topic VALUES (1, 2);
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INSERT INTO rel_person_topic VALUES (2, 5);
INSERT INTO rel_person_topic VALUES (2, 6);
INSERT INTO rel_person_topic VALUES (2, 7);
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# --------------------------------------------------------
#
# `topics`
#
CREATE TABLE topics (
TopicID int(11) default NULL,
TopicName text,
URI text
) TYPE=MyISAM;
#
# `topics`
#
INSERT INTO topics VALUES (1, 'Knowledge Representation Languages', 'http://annotation.semanticweb.org/iswc/iswc.daml#Knowledge_Representation_Languages');
INSERT INTO topics VALUES (2, 'Knowledge Systems', 'http://annotation.semanticweb.org/iswc/iswc.daml#Knowledge_Systems');
INSERT INTO topics VALUES (3, 'Artificial Intelligence', 'http://annotation.semanticweb.org/iswc/iswc.daml#Artificial_Intelligence');
INSERT INTO topics VALUES (4, 'Semantic Annotation', 'http://annotation.semanticweb.org/iswc/iswc.daml#Semantic_Annotation');
INSERT INTO topics VALUES (5, 'Semantic Web', 'http://annotation.semanticweb.org/iswc/iswc.daml#Semantic_Web');
INSERT INTO topics VALUES (6, 'Semantic Web Languages', 'http://annotation.semanticweb.org/iswc/iswc.daml#Semantic_Web_Languages');
INSERT INTO topics VALUES (7, 'Web Services', 'http://annotation.semanticweb.org/iswc/iswc.daml#Web_Services');
INSERT INTO topics VALUES (8, 'World Wide Web', 'http://annotation.semanticweb.org/iswc/iswc.daml#World_Wide_Web');
INSERT INTO topics VALUES (9, 'Text Mining', 'http://annotation.semanticweb.org/iswc/iswc.daml#Text_Mining');
INSERT INTO topics VALUES (10, 'Databases', 'http://annotation.semanticweb.org/iswc/iswc.daml#Databases');
INSERT INTO topics VALUES (11, 'Semantic Web Infrastructure', 'http://annotation.semanticweb.org/iswc/iswc.daml#Semantic_Web_Iinfrastructure');
INSERT INTO topics VALUES (12, 'XML', 'http://annotation.semanticweb.org/iswc/iswc.daml#XML');
INSERT INTO topics VALUES (13, 'E-Business', 'http://annotation.semanticweb.org/iswc/iswc.daml#e-Business');
INSERT INTO topics VALUES (14, 'Query Languages', 'http://annotation.semanticweb.org/iswc/iswc.daml#Query_Languages');
INSERT INTO topics VALUES (15, 'Knowledge Management', 'http://annotation.semanticweb.org/iswc/iswc.daml#Knowledge_Management');