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Heflin, Jeff

Overview
Works: 18 works in 34 publications in 1 language and 509 library holdings
Genres: Conference papers and proceedings 
Roles: Editor, Thesis advisor, Author
Classifications: QA76.M3, 004.678
Publication Timeline
Key
Publications about Jeff Heflin
Publications by Jeff Heflin
Most widely held works by Jeff Heflin
The Semantic Web -- ISWC 2012 11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012, Proceedings, Part I by Philippe Cudré-Mauroux( file )
11 editions published in 2012 in English and held by 33 libraries worldwide
This book constitutes the refereed proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2011, held in Beijing, China, in July 2011.The 8 revised full papers and the 5 short papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on terrorism informatics and crime analysis; intelligence analysis and knowledge discovery; information access and security; and infectious disease informatics
The Semantic Web -- ISWC 2012 Pt. II: 11th International Semantic Web Confrence, Boston, MA, USa, November 11-15, 2012, Proceedings by Philippe Cudr-̌Mauroux( file )
1 edition published in 2012 in English and held by 4 libraries worldwide
Query-based selection and integration of semantic web data sources by Abir Qasem( Book )
1 edition published in 2009 in English and held by 2 libraries worldwide
The thesis formally defines a source selection problem for the Semantic Web. Given a Semantic Web query, the source selection framework can be used to identify the data sources that are potentially relevant to a given query. Therefore, during query answering, an algorithm need only use the subset of a knowledge base that is necessary to answer a given query. As the size of a knowledge base significantly impacts the query response time, the source selection framework is more efficient than an approach that considers all available data sources, irrespective of its relevance to a given query. Furthermore, the framework supports a dynamic environment because the source is only accessed right before it is actually used to answer a query, and thus the data is as fresh as possible. Two algorithms that use the source selection framework have been developed. The first algorithm is an adaptation of a well known information integration algorithm. The adaptation provides fast source selection and adds the processing of ontological information present in the data. The second algorithm can work with a more expressive ontology language and can handle scenarios in which identical data elements have been expressed using different identifiers. Experiments conducted using synthetic data have demonstrated that a system based on these algorithms performs well over a wide range of queries. For instance, a typical response time for a substantial work load of more than 100 (possibly mapped) ontologies and 500 data sources is less than 2 seconds
Towards a linked semantic web: Precisely, comprehensively and scalably linking heterogeneous data in the semantic web by Dezhao Song( Book )
1 edition published in 2014 in English and held by 2 libraries worldwide
The amount of Semantic Web data is growing rapidly today. Individual users, academic institutions and businesses have already published and are continuing to publish their data in Semantic Web standards, such as RDF and OWL. Due to the decentralized nature of the Semantic Web, the same real world entity may be described in various data sources with different ontologies and assigned syntactically distinct identifiers. Furthermore, data published by each individual publisher may not be complete. This situation makes it difficult for end users to consume the available Semantic Web data effectively. In order to facilitate data utilization and consumption in the Semantic Web, without compromising the freedom of people to publish their data, one critical problem is to appropriately interlink such heterogeneous data. This interlinking process is sometimes referred to as Entity Coreference, i.e., finding which identifiers refer to the same real world entity. In the Semantic Web, the owl:sameAs predicate is used to link two equivalent (coreferent) ontology instances. An important question is where these owl:sameAs links come from. Although manual interlinking is possible on small scales, when dealing with large-scale datasets (e.g., millions of ontology instances), automated linking becomes necessary. This dissertation summarizes contributions to several aspects of entity coreference research in the Semantic Web. First of all, by developing the EPWNG algorithm, we advance the performance of the state-of-the-art by 1% to 4%. EPWNG finds coreferent ontology instances from different data sources by comparing every pair of instances and focuses on achieving high precision and recall by appropriately collecting and utilizing instance context information domain-independently. We further propose a sampling and utility function based context pruning technique, which provides a runtime speedup factor of 30 to 75. Furthermore, we develop an on-the-fly candidate selection algorithm, P-EPWNG, that enables the coreference process to run 2 to 18 times faster than the state-of-the-art on up to 1 million instances while only making a small sacrifice in the coreference F1-scores. This is achieved by utilizing the matching histories of the instances to prune instance pairs that are not likely to be coreferent. We also propose Offline, another candidate selection algorithm, that not only provides similar runtime speedup to P-EPWNG but also helps to achieve higher candidate selection and coreference F1-scores due to its more accurate filtering of true negatives. Different from P-EPWNG, Offline pre-selects candidate pairs by only comparing their partial context information that is selected in an unsupervised, automatic and domain-independent manner. In order to be able to handle really heterogeneous datasets, a mechanism for automatically determining predicate comparability is proposed. Combing this property matching approach with EPWNG and Offline, our system outperforms state-of-the-art algorithms on the 2012 Billion Triples Challenge dataset on up to 2 million instances for both coreference F1-score and runtime. An interesting project, where we apply the EPWNG algorithm for assisting cervical cancer screening, is discussed in detail. By applying our algorithm to a combination of different patient clinical test results and biographic information, we achieve higher accuracy compared to its ablations. We end this dissertation with the discussion of promising and challenging future work
Dynamic Ontologies on the Web ( Article )
1 edition published in 2000 in Undetermined and held by 1 library worldwide
Knowledge Representation on the Internet: Achieving Interoperability in a Dynamic, Distributed Environment ( Article )
1 edition published in 2000 in Undetermined and held by 1 library worldwide
Semantic Web for Everyone: Exploring Semantic Web Knowledge Bases via Contextual Tag Clouds and Linguistic Interpretations by Xingjian Zhang( Book )
1 edition published in 2014 in English and held by 1 library worldwide
We then extend the definition of tags to more general categories, particularly including property values, chaining property values, or functions on these values. With a totally different scenario and more general tags, we find the system can be used to discover interesting value space patterns. To adapt the different dataset, we modify the infrastructure with new indexing data structure, and propose two strategies for online queries, which will be chosen based on different requests, in order to maintain responsiveness of the system
The Zen of the Web ( Book )
1 edition published in 2003 in English and held by 1 library worldwide
SHOE : a knowledge representation language for Internet applications by Jeff Heflin( Book )
1 edition published in 1999 in English and held by 1 library worldwide
It is our contention that the World Wide Web poses challenges to knowledge representation systems that fundamentally change the way we should design KR languages. In this paper, we describe the Simple HTML Ontology Extensions (SHOE), a KR language which allows web pages to be annotated with semantics. We present a formalism for the language and discuss the features which make it well suited for the Web. We describe the syntax and semantics of this language, and discuss the differences from traditional KR systems that make it more suited to modern web applications. We also describe some generic tools for using the language and demonstrate its capabilities by describing two prototype systems that use it. We also discuss some future tools currently being developed for the language. The language, tools, and details of the applications are all available on the World Wide Web
An Evaluation of Knowledge Base Systems for Large OWL Datasets ( file )
1 edition published in 2004 in English and held by 0 libraries worldwide
In this paper, we present our work on evaluating knowledge base systems with respect to use in large OWL applications. To this end, we have developed the Lehigh University Benchmark (LUBM). The benchmark is intended to evaluate knowledge base systems with respect to extensional queries over a large dataset that commits to a single realistic ontology. LUBM features an OWL ontology modeling university domain, synthetic OWL data generation that can scale to an arbitrary size, fourteen test queries representing a variety of properties, and a set of performance metrics. We describe the components of the benchmark and some rationale for its design. Based on the benchmark, we have conducted an evaluation of four knowledge base systems (KBS). To our knowledge, no experiment has been done with the scale of data used here. The smallest dataset used consists of 15 OWL files totaling 8MB, while the largest dataset consists of 999 files totaling 583MB. We evaluated two memory-based systems (OWLJessKB and memory-based Sesame) and two systems with persistent storage (database-based Sesame and DLDB-OWL). We show the results of the experiment and discuss the performance of each system. In particular, we have concluded that existing systems need to place a greater emphasis on scalability
A Model Theoretic Semantics for Ontology Versioning ( file )
1 edition published in 2004 in English and held by 0 libraries worldwide
We show that the SemanticWeb needs a formal semantics for the various kinds of links between ontologies and other documents. We provide a model theoretic semantics that takes into account ontology extension and ontology versioning. Since the Web is the product of a diverse community, as opposed to a single agent, this semantics accommodates different viewpoints by having different entailment relations for different ontology perspectives. We discuss how this theory can be practically applied to RDF and OWL and provide a theorem that shows how to compute perspective-based entailment using existing logical reasoners. We illustrate these concepts using examples and conclude with a discussion of future work
Semantic Web Technologies for Aerospace ( file )
1 edition published in 2003 in English and held by 0 libraries worldwide
Emerging Semantic Web technology such as the DARPA Agent Markup Language (DAML) will support advanced semantic interoperability in the next generation of aerospace architectures. The basic idea of DAML is to mark up artifacts (e.g. documents sensors databases legacy software) so that software agents can interpret and reason with the information DAML will support the representation of ontologies (which include taxonomies of terms and semantic relations) via extensions to XML, XML alone is not sufficient for agents because it provides only syntactic interoperability that depends on implicit semantic agreements DAML is the official starting point for the Web Ontology Language an emerging standard from the World Wide Web Consortium. This paper will cover promising aerospace applications and significant challenges for Semantic Web technologies Potential applications include higher-level information fusion collaboration in both operational and engineering environments and rapid systems integration. The challenges that will be discussed include the complexity of ontology development automation of markup semantic mismatch between current object-oriented models and Semantic Web ontologies scalability issues related to reasoning with large knowledge bases and technology transition issues. The paper will explain ongoing research that is focused on addressing these challenges
Semantic Interoperability on the Web ( file )
1 edition published in 2000 in English and held by 0 libraries worldwide
XML will have a profound impact on the way data is exchanged on the Internet. An important feature of this language is the separation of content from presentation, which makes it easier to select and/or reformat the data. However, due to the likelihood of numerous industry and domain specific DTDs, those who wish to integrate information will still be faced with the problem of semantic interoperability. In this paper we discuss why this problem is not solved by XML, and then discuss why the Resource Description Framework is only a partial solution. We then present the SHOE language, which we feel has many of the features necessary to enable a semantic web, and describe an existing set of tools that make it easy to use the language
The Semantic Web - Iswc 2015 14th International Semantic Web Conference, Bethlehem, Pa, USA, October 11-15, 2015, Proceedings, Part I by International Semantic Web Conference( file )
8 editions published in 2015 in English and held by 0 libraries worldwide
The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015, held in Bethlehem, PA, USA, in October 2015. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. The papers cover topics such as querying with SPARQL; querying linked data; linked data; ontology-based data access; ontology alignment; reasoning; instance matching, entity resolution and topic generation; RDF data dynamics; ontology extraction and generation; knowledge graphs and scientific data publication; ontology instance alignment; knowledge graphs; data processing, IoT, sensors; archiving and publishing scientific data; I oT and sensors; experiments; evaluation; and empirical studies. Part 1 (LNCS 9366) contains a total of 38 papers which were presented in the research track. They were carefully reviewed and selected from 172 submissions. Part 2 (LNCS 9367) contains 14 papers from the in-use and software track, 8 papers from the datasets and ontologies track, and 7 papers from the empirical studies and experiments track, selected, respectively, from 33, 35, and 23 submissions
Searching the Web with SHOE ( file )
1 edition published in 2000 in English and held by 0 libraries worldwide
Although search engine technology has improved in recent years, there are still many types of searches that return unsatisfactory results. This situation can be greatly improved if web pages use a semantic markup language to describe their content. We have developed SHOE, a language for this purpose, and in this paper describe a scenario for how the language could be used by search engines of the future. A major challenge to this system is designing a query tool that can exploit the power of a knowledge base while still being simple enough for the casual user. We present the SHOE Search tool, which allows the user to specify a context for his or her query, and then uses the context to help the user build a query by example
Dynamic Ontologies on the Web ( file )
1 edition published in 2000 in English and held by 0 libraries worldwide
We discuss the problems associated with managing ontologies in distributed environments such as the Web. The Web poses unique problems for the use of ontologies because of the rapid evolution and autonomy of web sites. We present SHOE, a web-based knowledge representation language that supports multiple versions of ontologies. We describe SHOE in the terms of a logic that separates data from ontologies and allows ontologies to provide different perspectives on the data. We then discuss the features of SHOE that address ontology versioning, the effects of ontology revision on SHOE web pages, and methods for implementing ontology integration using SHOE's extension and version mechanisms
DLDB: Extending Relational Databases to Support Semantic Web Queries ( file )
1 edition published in 2004 in English and held by 0 libraries worldwide
We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage
 
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