Larry Kerschberg

Larry Kerschberg
George Mason University | GMU · Department of Computer Science

PhD

About

180
Publications
15,647
Reads
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2,553
Citations
Citations since 2016
6 Research Items
215 Citations
20162017201820192020202120220102030
20162017201820192020202120220102030
20162017201820192020202120220102030
20162017201820192020202120220102030
Additional affiliations
August 1986 - present
George Mason University
Position
  • Professor (Full)

Publications

Publications (180)
Conference Paper
A Bayesian Network (BN) is a popular framework for causal studies. Causal relationships and interactions can be captured in the topology of a BN, creating a Causal Bayesian Network (CBN). This framework enables us to reason under uncertainty and capture the strength of causal links as conditional probabilities. However, there currently is no quick...
Article
This paper is based on my Keynote Address at the Tools with AI conference on November 4, 2013. The talk focussed on some factors used to determine a user's context — those attributes, both tacit and explicit, which help to ascertain a user's intensions for a search request in order to make a decision. I also explored how social semantic search can...
Article
With the recent growth of the Social Web, an emerging challenge is how we can integrate information from the heterogeneity of current Social Web sites to improve semantic access to the information and knowledge across the entire World Wide Web, the Web. Interoperability across the Social Web sites make the simplest of inferences based on data from...
Patent
Full-text available
A service-oriented system architecture includes a computer-implemented search method and computer-implemented agent system for enabling efficient information searches on, for example, on XML databases, relational databases, and files located on intranets, the Internet, or other computer network systems. Referred to as the Knowledge Sifter architect...
Conference Paper
In recent years, social media has expanded from a niche application with a student-focused user base to a mainstream tool used by individuals and business to maintain and expand their social and business networks. The result is a rich source of data that can help service consumers and service providers connect with each other in new and interesting...
Conference Paper
There is a nexus between information technology and the physical world, where the developments of service science intersect with the technological innovations offered by modern communication systems. When completing a business process, users rarely consume just one type of service; most business processes are a combination of both physical and elec...
Conference Paper
This paper introduces the concept, design, and implementation of the Personal Health Explorer (PHE), a semantic recommender system that allows an individual to perform semantic search and discovery related to conditions and diseases contained in his personal health record. The PHE system consults authoritative ontologies and reputable information s...
Conference Paper
Full-text available
Composing services into executable workflows presents many challenges. One of the most difficult challenges is deciding which option among several available workflows is the best value for the user. Cost, reliability, user preferences, and other factors must be balanced to develop the best recommendation. In this paper we describe a strategy for de...
Conference Paper
Full-text available
This paper proposes rethinking how ontologies are used to compose web services into business processes. Unlike handcrafted ontologies, we describe using a multi-agent system (MAS) to automatically generate semantic mappings from service interfaces. Comparing synonyms and contextual clues, we infer meanings of input and output parameters with no exp...
Article
Full-text available
In this paper, we propose a secure and privacy-preserving Service Oriented Architecture (SOA) for health information integration and exchange in which patients are "part owners" of their medical records, have complete ownership of their integrated health information and decide when and how data is modified or exchanged between healthcare providers...
Chapter
This chapter introduces a hybrid ontology mediation approach for deploying Semantic Web Services (SWS) using Multi-agent systems (MAS). The methodology that the authors have applied combines both syntactic and semantic matching techniques for mapping ontological schemas so as to 1)eliminate heterogeneity; 2)provide higher precision and relevance in...
Conference Paper
Full-text available
This paper highlights an end-to-end framework and process methodology for developing a consistent knowledge model across enterprises. We demonstrate an improved matching algorithm i.e. the Semantic Relatedness Scores (SRS) and the Semantic Web Rule Language (SWRL) and how they can be coupled together to achieve better reliability and precision in m...
Article
Data heterogeneity in the public sector is a serious problem and remains to be a key issue as different naming conventions are used to represent similar data labels. The e-government effort in many countries has provided a platform for government entities and their business partners to exchange data through Information Communication Technologies (I...
Article
Full-text available
This article introduces a hybrid ontology mediation approach for the Semantic Web. It combines both syntactic and semantic matching measures to provide better results for matching data labels. Although ontologies are meant to provide a shared conceptualization of the world, the development practices, lack of standards, and subjective naming convent...
Article
Full-text available
In this paper, we present the problem of ontology evolution and change management. We provide a systematic approach to solve the problem by adopting a multi-agent system (MAS). The core of our solution is the Semantic Relatedness Score (SRS) which is an aggregate score of five well-tested semantic as well as syntactic algorithms. The focus of this...
Article
Full-text available
In this paper, we present a hybrid similarity matching algorithm i.e. Semantic Relatedness Score (SRS) that is used to match ontological concepts and instances in the context of ontology evolution. We combine five out of thirteen well-tested semantic and syntactic algorithms to produce SRS. Specifically we focus on the issue of ontology upgrade and...
Article
Full-text available
This paper addresses the specification of a security policy ontology framework to mediate security policies between virtual organizations (VO) and real organizations (RO). The goal is to develop a common domain model for security policy via semantic mapping. This mitigates interoperability problems that exist due to heterogeneity in security policy...
Conference Paper
Full-text available
This paper addresses the role of case-based reasoning in semantic search, and in particular, as it applies to Knowledge Sifter, an agent-based ontology-driven search system based on Web services. The Knowledge Sifter architecture is extended to include a case-based methodology for collaborative semantic search, including case creation, indexing and...
Conference Paper
Agent ontology systems interact with other agents via automated service discovery to share data and provide services on-the-fly. Resources need to be annotated with meta-data so that they can be correctly discovered and invoked. Ontologies provide shared conceptualization of a domain but it's not easy for everyone to agree on the same ontology for...
Chapter
Full-text available
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agents to coordinate the search for knowledge in heterogeneous sources, including the Web, semi-structured data, relational data and the Semantic Web. The goal is to provide...
Conference Paper
Full-text available
This paper describes the specification, design and development of ACTIVE, a testbed for the testing and simulation of large-scale agent-based systems. ACTIVE is being developed as part of DARPA's Coordinators program. The goal of the ACTIVE testbed is to support the simulation of large collections of distributed cooperating agents in solving constr...
Conference Paper
Full-text available
This paper proposes to model and represent an object's digital persona by means of a conceptual model that uses fragments of schemata that are termed data-DNA. The object may be a person, place or thing of interest; it may be either physical or virtual; and it supports interactions between and among objects. The goal is to provide a framework in wh...
Conference Paper
Full-text available
This paper presents the requirements for just in time knowledge management (JIT-KM). In order to deliver high-value information to user for decision-making, one must understand the user's preferences, biases and decision context. A JIT-KM architecture is presented consisting of user, middleware and data services to search for information from heter...
Conference Paper
Full-text available
Unlike traditional assembly lines, service-oriented processes require individualized and timely information during the execution of steps or phases. This paper discusses the Multi-layered Analytical Knowledge Organization (MAKO) Just-in-Time Process Model (JITPM), which is a framework and methodology for building service-oriented processes that are...
Conference Paper
In seeking a new knowledge management paradigm, the First Workshop on Information Just-in-Time was held as a full day workshop associated with the 3rd Conference on Professional Knowledge Management in Kaiserslautern, Germany.
Article
Full-text available
This paper describes the current state of the OmniSeer system. OmniSeer supports intelligence analysts in the handling of massive amounts of data, the construction of scenarios, and the management of hypotheses. OmniSeer models analysts with dynamic user models that capture an analyst's context, interests, and preferences, thus enabling more effici...
Article
Full-text available
The use of Web services as a means of dynamically discovering, negotiating, composing, executing and managing services to materialize enterprise-scale workflow is an active research topic. Existing approaches involve many disparate concepts, frameworks and technologies. What is needed is a comprehensive and overarching framework that handles the pr...
Conference Paper
Full-text available
The concept of automating Web services, specifically the brokering activities, is an active research topic. We need a comprehensive and overarching framework that seamlessly incorporates intelligent middleware agents within the context of workflow management, and addresses the issues related to virtual organizations. The goal is to add semantics to...
Chapter
Full-text available
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specification is supported by a user agent that accesses multiple ontologies using an integrated conceptual model expressed in the Web Ontolog...
Article
Full-text available
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emerging Semantic Web. User query specification is supported by a user agent that accesses multiple ontologies using an integrated conceptual model. A collection of cooperating...
Conference Paper
The problem considered is that of decomposing a global integrity constraint in a distributed database into local constraints for every local site, such that the local constraints serve as a conservative approximation, i.e., satisfaction of the local constraints by a database instance guarantees satisfaction of the global constraint. Verifying local...
Chapter
The functional approach to computing has an important role in enabling the Internet-based applications such as the Semantic Web, e-business, web services, and agents for managing the evolving distributed knowledge space. This chapter examines the research issues and trends in these areas, and focuses on how the Functional Data Model and a functiona...
Chapter
The Extensible Markup Language (XML) is a standard for information representation and exchange over the Internet. One of the applications where XML can be used is electronic business (e-business). E-business requires substantially large and frequent information exchanges among e-business parties. Such information exchange is required for search and...
Book
It is over 20 years since the functional data model and functional programming languages were first introduced to the computing community. Although developed by separate research communities, recent work, presented in this book, suggests there is powerful synergy in their integration. As database technology emerges as central to yet more complex an...
Conference Paper
Full-text available
We address how the XML Topic Map (XTM) 1.0 standard can be used to develop an analytical knowledge base comprised of multiple ontologies to support intelligence assessments. Termed the MultiOntology Analytical Knowledge Organizational (MAKO) framework, it incorporates a Multidimensional Ontology Model (MOM) that organizes subjects into separate con...
Conference Paper
Full-text available
The concept of automating Web services, specifically the brokering activities, is an active research topic. We need a comprehensive and overarching framework that handles the discovery, differentiation, negotiation and selection processing within the context of workflow management, and addresses the issues related to virtual organizations. The goal...
Conference Paper
Full-text available
This paper addresses several problems associated with the specification of Web searches, and the retrieval, filtering, and rating of Web pages in order to improve the relevance, precision and quality of search results. A methodology and architecture for an agent-based system, WebSifter is presented, that captures the semantics of a user's search in...
Article
Full-text available
The INLEN system combines database, knowledge base, and machine learning technologies to provide a user with an integrated system of tools for conceptually analyzing data and searching for interesting relationships and regularities in them. Machine learning techniques are used for determining general descriptions from facts, creating conceptual cla...
Article
Full-text available
The paper presents a method for integrating two different types of data analysis: symbolic inductive learning and statistical methods. The method concerns the problem of discovering rules characterizing the dependence between a group of dependent attributes and a group of independent groups, e.g., decision attributes and measurable attributes. The...
Article
and CONCRETIZE, and GENERALIZE and SPECIALIZE, in addition to IMPROVE, an operator that improves knowledge by giving it new examples to learn from. ABSTRACT modifies its input knowledge segment by removing details from its description, and CONCRETIZE specifies details of an abstract concept description, while GENERALIZE and SPECIALIZE affect the se...
Article
Among the central tasks in the development of expert systems is the formulation, debugging and implementation of a knowledge base. The knowledge encoded in the knowledge base is usually supplied by experts. There are, however, many application domains in which knowledge required by an expert system has to be extracted from facts collected in a data...
Article
The architecture of a large-scale system, INLEN, for the discovery of knowledge from facts, is described and then illustrated by an exploratory application. INLEN combines database, knowledge base, and machine learning methods within a uniform user-oriented framework. Data and different forms of knowledge are managed in a uniform way by using knowl...
Article
Providing highly relevant page hits to the user is a major concern in Web search. To accomplish this goal, the user must be allowed to express his intent precisely. Secondly, page hit rating mechanisms should be used that take the user’s intent into account. Finally, a learning mechanism is needed that captures a user’s preferences in his Web searc...
Article
Full-text available
In this paper, we describe a new bitmap indexing technique to cluster XML documents. XML is a new standard for exchanging and representing information on the Internet. Documents can be hierarchically represented by XML-elements. XML documents are represented and indexed using a bitmap indexing technique. We define the similarity and popularity oper...
Conference Paper
Full-text available
Caching issues in meta-search engines are considered. We propose a popularity-driven cache algorithm that utilizes both popularities and reference counters of queries to determine cache data to be purged. We show how to calculate query popularity. Empirical evaluations and performance comparisons of popularity-driven caching with the least recently...
Conference Paper
Full-text available
This paper addresses the problem of specifying Web searches and retrieving, filtering, and rating Web pages so as to improve the relevance and quality of hits, based on the user's search intent and preferences. We present a methodology and architecture for an agent-based system, called WebSifter II, that captures the semantics of a user's decision-...
Conference Paper
In practice, users may often want interesting rules that are also related with user goals . This paper describes a technique of mining useful rules both interesting and related to user goals. According to the degree of relevancy to a user goal, a database can be divided into the five views: from the view positively related to the user goal to the v...
Conference Paper
This paper addresses the problem of specifying Web searches and retrieving, filtering, and rating Web pages so as to improve the relevance and quality of hits, based on the user?s search intent and preferences. We present a methodology and architecture for an agent-based system, called WebSifter II, that captures the semantics of a user?s decision-...
Article
Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in large data sets. It has been subject of wide research since it arises in many application domains ...
Conference Paper
Full-text available
This paper addresses issues related to Knowledge Management in the context of heterogeneous data warehouse environments. The traditional notion of data warehouse is evolving into a federated warehouse augmented by a knowledge repository, together with a set of processes and services to support enterprise knowledge creation, refinement, indexing, di...
Article
Full-text available
This paper addresses several issues related to the use of conceptual modeling to support serviceoriented, advanced information systems. It shows how conceptual modeling of information resources can be used to integrate information obtained from multiple data sources, including both internal and external data. The notion of an intelligent thesaurus...
Article
Full-text available
XML is a new standard for exchanging and representing information on the Internet. Documents can be hierarchically represented by XML-elements. In this paper, we propose that an XML document collection be represented and indexed using a bitmap indexing technique. We define the similarity and popularity operations suitable for bitmap indexes. We als...
Conference Paper
Full-text available
This paper addresses the problem of specifying, retrieving, filtering and rating Web searches so as to improve the relevance and quality of hits, based on the user's search intent and preferences. We present a methodology and architecture for an agent-based system, called WebSifter II, that captures the semantics of a user's decision-oriented searc...
Conference Paper
Full-text available
The World Wide Web provides access to a great deal of information on a vast array of subjects. A user can begin a search for information by selecting a Web page and following the embedded links from page to page looking for clues to the desired information. An alternative method is to use one of the Web-based search engines to select the Web pages...
Conference Paper
Full-text available
Caching issues in meta-search engines are considered. We propose a popularity-driven cache algorithm that utilizes both popularities and reference counters of queries to determine cache data to be purged. We show how to calculate query popularity. Empirical evaluations and performance comparisons of popularity-driven caching with the least recently...
Article
Full-text available
. Adaptation in open, multi-agent information gathering systems is important for several reasons. These reasons include the inability to accurately predict future problem-solving workloads, future changes in existing information requests, future failures and additions of agents and data supply resources, and other future task environment characteri...
Conference Paper
Full-text available
The paper presents a novel application involving two important software engineering research areas: process modeling and software reuse. The Spiral Model is a risk-driven process model, which, depending on the specific risks associated with a given project, may be tailored to create a project-specific process model. The software reuse area is that...
Conference Paper
The World Wide Web provides access to a great deal of information on a vast array of subjects. In a typical Web search a vast amount of information is retrieved. The quantity can be overwhelming, and much of the information may be marginally relevant or completely irrelevant to the user's request. We present a methodology, architecture, and proof-o...
Article
We describe how to express constraints in a functional (semantic) data model, which has a working implementation in an object database. We trace the development of such constraints from being integrity checks embedded in procedural code to being something declarative ...
Article
In this presentation we review the current ongoing research within George Mason University's (GMU) Center for Information Systems Integration and Evolution (CISE). We define characteristics of advanced information systems, discuss a family of agents for such systems, and show how GMU's Domain modeling tools and techniques can be used to define a pr...
Conference Paper
This paper presents an agent-based architecture for optimally managing resources in distributed environments. The agent-based approach allows for maximal autonomy in agent negotiation and decision-making. A three-layer architecture is proposed, consisting of the user, agency and application domain layers. Agencies correspond to enterprise functiona...
Conference Paper
This paper presents an overview of current trends in Electronic Business (E-business), and how an enterprise can use the Electronic Marketspace for strategic advantage. The role of cooperative information agents is discussed within the context of E-business. An agency-based framework is presented for E-business in the class of logistics and supply...
Conference Paper
The approach presented in this paper is to discover association rules based on a user’s query. Of the many issues in rule discovery, relevancy, interestingness, and supportiveness of association rules are considered in this paper. For a given user query, a database can be partitioned into three views: a positively-related-query view, a negatively-r...
Conference Paper
Full-text available
Presents a methodology for data mining and knowledge discovery in large, distributed and heterogeneous databases. In order to obtain potentially interesting patterns, relationships and rules from such large and heterogeneous data collections, it is essential that a methodology be developed to take advantage of the suite of existing methods and tool...
Conference Paper
Full-text available
. This paper addresses the problem of semantic query reformulation in the context of object-oriented deductive databases. It extends the declarative object-oriented specifications of F-logic proposed by Kifer and Lausen using the semantic query optimization technique developed by Chakravarthy, Grant, and Minker. In general, query processing in obje...
Article
Full-text available
We introduce the concept of rule schema in this paper in order to support constraints in the active object-oriented paradigm. The rule schema provides the meta-knowledge associated with constraints analogous to the way a database schema provides metadata about the database objects. It is used to compile the constraints into clauses which are then "...