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<!--
	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=sparql">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=sparql]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for sparql]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/318/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1015/CAPD-A-Context-Aware-Policy-Driven-Framework-for-Secure-and-Resilient-IoBT-Operations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/955/YieldPredict-A-Crop-Yield-Prediction-Framework-for-Smart-Farms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/939/The-Universal-Decompositional-Semantics-Dataset-and-Decomp-Toolkit"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/331/GoRelations-an-Intuitive-Query-System-for-DBPedia-and-LOD-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/360/Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/94/UMBC-Semantic-Web-Reference-Card-v2"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/97/UMBC-Semantic-Web-Reference-Card-v2-A4-"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores">
  <title><![CDATA[Attribute-based Fine Grained Access Control for Triple Stores]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/477/Attribute-based-Fine-Grained-Access-Control-for-Triple-Stores</link>
  <description><![CDATA[The maturation of semantic web standards and associated web-based data representations like schema.org have made RDF a popular model for representing graph data and semi-structured knowledge. However, most existing SPARQL endpoint supports simple access control mechanism preventing its use for many applications. To protect the data stored in RDF stores, we describe a framework to support attribute-based fine grained access control and explore its feasibility. We implemented a prototype of the...]]></description>
  <dc:date>2015-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup">
  <title><![CDATA[Semantic Web Meetup]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup</link>
  <description><![CDATA[The UMBC Ebiquity Lab is hosting the November meeting of the Lotico Central Maryland Semantic Web Meetup from 6:00-8:00 pm in room 456 of the ITE building (directions).  All are welcome.  If you want to attend, please join the  Central MD Semantic Web Meetup group and RSVP.  The meeting will start with a pizza social from 6:00pm to 6:45pm and then continue with a series of short presentations of current Semantic Web research being done in our lab.

  Tim Finin: introduction and overview

...]]></description>
  <dc:date>2011-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies">
  <title><![CDATA[Combining NoSQL Products to Further Enhance Semantic Technologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/405/Combining-NoSQL-Products-to-Further-Enhance-Semantic-Technologies</link>
  <description><![CDATA[AllegroGraph is a fully ACID and highly scalable RDF triplestore that
can be programmed with compiled, server side JavaScript. This allows
programmers to easily manipulate individual triples and create their
own intelligent graph or reasoning algorithms. However, one wish that
has been expressed by many programmers is to work on the level of
objects instead of individual triples, where an object would be
defined as all the triples with the same subject. So we created a
MongoDB interfac...]]></description>
  <dc:date>2011-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia">
  <title><![CDATA[PowerRelations: A Question Answering System for DBPedia]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia</link>
  <description><![CDATA[Large amounts of structured and semi-structured semantic data are available on the Web. A well-known example is DBpedia, which extracts data from Wikipedia, encodes it in the Semantic Web language RDF, and stores it in a triplestore. Although a formal query language, SPARQL, is available for accessing such data, it remains challenging for users to query the knowledge unless they are familiar with SPARQL and the particular ontologies used. We have developed an intuitive system for users to ex...]]></description>
  <dc:date>2011-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/318/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web">
  <title><![CDATA[Blackbook3:  A Graph Analytic Processing Platform For The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/318/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web</link>
  <description><![CDATA[Lance Byrd and Set Cruz will talk about Blackbook, a Graph Analytic Processing Platform For The Semantic Web.

 Started in 2006, Blackbook3 is primarily an RDF middleware framework for integrating data and executing algorithms.  Its purpose is to enable content providers and developers to focus on their unique problem, allowing Blackbook3 to handle the production-level, enterprise framing that is commonly duplicated.  Security, web services, ingestion tools, visualizers,workflow, and analys...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web">
  <title><![CDATA[Database Infrastructure for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web</link>
  <description><![CDATA[Oracle Database has support for native storage, querying and inference of semantic datasets containing hundreds of millions to billions of triples. This scalable and secure infrastructure can be used to build applications for data integration, metadata (knowledge) representation, ontology usage and management, ontology enhanced search, and so on. Several new features have been added to the database infrastructure support:

    Native inferencing for a part of OWL (basic constructs, property...]]></description>
  <dc:date>2007-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/178/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations">
  <title><![CDATA[Graph of Relations]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations</link>
  <description><![CDATA[ 
Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest.  Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical ``skeleton'' for a query and anno...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[LLM based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1207/LLM-based-Knowledge-Graph-Approach-to-Automating-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Advanced medical devices increasingly rely on AI driven frameworks to automate compliance processes, ensuring safety and efficacy while reducing regulatory burdens. In the US, software-based medical devices, including those utilizing AI/ML models, are regulated by the FDA’s Center for Devices and Radiological Health (CDRH) under the Code of Federal Regulations (CFR) Title 21. These regulations are extensive, cross-referenced documents that require significant human effort to parse, leading ...]]></description>
  <dc:date>2025-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin">
  <title><![CDATA[Security Compliance for Smart Manufacturing using Knowledgegraph based Digital Twin]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin</link>
  <description><![CDATA[The combination of Information Technology (IT) and Operational Technology (OT) in smart manufacturing, driven by smart factory innovations and Internet of Things (IoT) devices, generates vast, diverse, and rapidly evolving Big Data, which in turn increases cybersecurity and compliance issues. Adherence to security standards, such as NIST SP 800-171, which requires rigorous access control and audit reporting, is currently obstructed by the resource-intensive and error-prone aspects of manual e...]]></description>
  <dc:date>2025-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance">
  <title><![CDATA[MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1186/MedReg-KG-KnowledgeGraph-for-Streamlining-Medical-Device-Regulatory-Compliance</link>
  <description><![CDATA[Healthcare providers are deploying a large number
of AI-driven Medical devices to help monitor and medicate
patients. For patients with chronic ailments, like diabetes or
gastric diseases, usage of these devices becomes part of their
daily lifestyle. These medical devices often capture personally
identifiable information (PII) and hence are strictly regulated by
the Food and Drug Administration (FDA) to ensure the safety
and efficacy of the medical device. Medical device regulations
a...]]></description>
  <dc:date>2024-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices">
  <title><![CDATA[Semantically Rich Approach to Automating Regulations of Medical Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1180/Semantically-Rich-Approach-to-Automating-Regulations-of-Medical-Devices</link>
  <description><![CDATA[Advanced medical devices increasingly use sophisticated AI/ML models to enable real-time analytics for monitoring patients. In the US, these AI models, which often form the underlying device software, are regulated by the Center for Devices & Radiological Health (CDRH) at the Food & Drug Administration (FDA) to ensure the safety & efficacy of the medical device. These regulations for medical devices are currently available as large textual documents, called Code of Federal Regulations (CFR) T...]]></description>
  <dc:date>2024-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1015/CAPD-A-Context-Aware-Policy-Driven-Framework-for-Secure-and-Resilient-IoBT-Operations">
  <title><![CDATA[CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1015/CAPD-A-Context-Aware-Policy-Driven-Framework-for-Secure-and-Resilient-IoBT-Operations</link>
  <description><![CDATA[The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share information, and be resilient to adversary attacks in contested multi-domain operations. CAPD addresses this problem by providing a context-aware, policy-driven framework supporting data and knowledge exchange among autonomous entities in a battlespace. We...]]></description>
  <dc:date>2022-04-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks">
  <title><![CDATA[Cybersecurity Knowledge Graph Improvement with Graph Neural Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks</link>
  <description><![CDATA[Cybersecurity Knowledge Graphs (CKGs) help in
aggregating information about cyber-events. CKGs combined
with reasoning and querying systems such as SPARQL enable
security researchers to look up information about past cyberevents
that is helpful in understanding future cyber-events or
drawing similarity with a known cyber-event recorded in a
CKG. CKGs have assertions in the form of semantic triples. The
triples describe a relationship between a subject and object, both
of which are cyb...]]></description>
  <dc:date>2021-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/955/YieldPredict-A-Crop-Yield-Prediction-Framework-for-Smart-Farms">
  <title><![CDATA[YieldPredict: A Crop Yield Prediction Framework for Smart Farms]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/955/YieldPredict-A-Crop-Yield-Prediction-Framework-for-Smart-Farms</link>
  <description><![CDATA[In recent years, machine learning approaches are gaining popularity with the advent of big data. The massive amount of data generated, when served as an input to machine learning approaches, provides useful insights. Adoption of these approaches in the agricultural sector has immense potential to increase crop productivity and quality. In this paper, we analyze the crop data collected from an agriculture site in Rajasthan, India, that includes both Rabi and Kharif cropping patterns. In additi...]]></description>
  <dc:date>2020-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/939/The-Universal-Decompositional-Semantics-Dataset-and-Decomp-Toolkit">
  <title><![CDATA[The Universal Decompositional Semantics Dataset and Decomp Toolkit]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/939/The-Universal-Decompositional-Semantics-Dataset-and-Decomp-Toolkit</link>
  <description><![CDATA[We present the Universal Decompositional Semantics (UDS) dataset (v1.0), which is bundled with the Decomp toolkit (v0.1). UDS1.0 unifies five high-quality, decompositional semantics-aligned annotation sets within a single semantic graph specification---with graph structures defined by the predicative patterns produced by the PredPatt tool and real-valued node and edge attributes constructed using sophisticated normalization procedures. The Decomp toolkit provides a suite of Python 3 tools for...]]></description>
  <dc:date>2019-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements">
  <title><![CDATA[A Question and Answering System for Management of Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements</link>
  <description><![CDATA[One of the key challenges faced by consumers is to efficiently manage and monitor the quality of cloud services. To manage service performance, consumers have to validate rules embedded in cloud legal contracts, such as Service Level Agreements (SLA) and Privacy Policies, that are available as text documents. Currently, this analysis requires significant time and manual labor and is thus inefficient. We propose a cognitive assistant that can be used to manage cloud legal documents by automati...]]></description>
  <dc:date>2017-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources">
  <title><![CDATA[Querying Large Linked Data Resources]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources</link>
  <description><![CDATA[. Exploring large complex linked data resources is challenging as it requires not only mastering SPARQL syntax and semantics but also understanding the RDF data model and large ontology vocabularies comprising of thousands of classes, hundreds of properties and millions of URIs for instances of interest. Natural language question answering systems solve the problem, but these are still subjects of research. We describe a compromise in which non-experts specify a graphical query ‘skeleton’...]]></description>
  <dc:date>2015-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web">
  <title><![CDATA[Blackbook3: A Graph Analytic Processing Platform For The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web</link>
  <description><![CDATA[Started in 2006, Blackbook3 is primarily an RDF middleware framework for integrating data and executing algorithms. Its purpose is to enable content providers and developers to focus on their unique problem, allowing Blackbook3 to handle the production-level, enterprise framing that is commonly duplicated. Security, web services, ingestion tools, visualizers,workflow, and analyst applications are provided as additional features. This talk will go into the current and future use cases for Bla...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/331/GoRelations-an-Intuitive-Query-System-for-DBPedia-and-LOD-">
  <title><![CDATA[GoRelations: an Intuitive Query System for DBPedia (and LOD)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/331/GoRelations-an-Intuitive-Query-System-for-DBPedia-and-LOD-</link>
  <description><![CDATA[Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest. Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical “skeleton” for a query and annotat...]]></description>
  <dc:date>2011-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents">
  <title><![CDATA[Predicting food web connectivity: Phylogenetic scope, evidence thresholds, and intelligent agents]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents</link>
  <description><![CDATA[Presentation at the Ecological Society of America annual meeting in Memphis, TN  August 8, 2006. Part of a symposium organized by Tim Keitt and Bill Fagan: Structure and Dynamics of Ecological Networks.

We parameterize a model for predicting trophic links using previously published interaction networks and phylogenetic/taxonomic trees. Interactors in given food webs are identified where possible to scientific name at the most appropriate taxonomic level so that a tree can used to search fo...]]></description>
  <dc:date>2006-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/360/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/360/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Slides for Lushan Han's dissertation defense, Schema Free Querying of Semantic Data.

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces addre...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/94/UMBC-Semantic-Web-Reference-Card-v2">
  <title><![CDATA[UMBC Semantic Web Reference Card - v2]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/94/UMBC-Semantic-Web-Reference-Card-v2</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card is a handy "cheat sheet" for Semantic Web developers.  It can be printed double sided on one sheet of paper and tri-folded.  
The card includes the following content:

 RDF/RDFS/OWL vocabulary
 RDF/XML reserved terms (they are outside RDF vocabulary) 
 a simple RDF example in different formats
 SPARQL semantic web query language reference
 many handy facts for developers

Please send any comments or suggestions to feedback@ebiquity.umbc.edu.

An...]]></description>
  <dc:date>2005-11-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/97/UMBC-Semantic-Web-Reference-Card-v2-A4-">
  <title><![CDATA[UMBC Semantic Web Reference Card - v2 (A4)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/97/UMBC-Semantic-Web-Reference-Card-v2-A4-</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card is a handy "cheat sheet" for Semantic Web developers.  It can be printed double sided on one sheet of paper and tri-folded.  
The card includes the following content:

 RDF/RDFS/OWL vocabulary
 RDF/XML reserved terms (they are outside RDF vocabulary) 
 a simple RDF example in different formats
 SPARQL semantic web query language reference
 many handy facts for developers

Please send any comments or suggestions to feedback@ebiquity.umbc.edu.

A...]]></description>
  <dc:date>2005-11-04</dc:date>
 </item>
</rdf:RDF>
