J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....can easily access them. The InfoQuilt System[2] provides a framework for formulating complex information requests, involving multiple ontologies, and supporting a form of knowledge discovery. From the local ontologies less quoted ones eventually disappear through evolution. A set of InfoSleuth[5] agents collaborate at a semantic level to execute information gathering and analysis tasks, where the underlying information sources can be diverse both in their structure and content, as in SWAP. LARKS[8] is an agent capability description language that enables advertising, requesting and ....

J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in infosleuth. SIGMOD Record, 28(1):60OE67, 1999.

....can easily access them. The InfoQuilt System[ASA01] provides a framework for formulating complex information requests, involving multiple ontologies, and supporting a form of knowledge discovery. From the local ontologies less quoted ones eventually disappear through evolution. A set of InfoSleuth[FPNB99] agents collaborate at a semantic level to execute information gathering and analysis tasks, where the underlying information sources can be diverse both in their structure and content, as in SWAP. LARKS[SWKL02] is an agent capability description language that enables advertising, requesting and ....

J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, 1999.

....can easily access them. The InfoQuilt System[ASA01] provides a framework for formulating complex information requests, involving multiple ontologies, and supporting a form of knowledge discovery. From the local ontologies less quoted ones eventually disappear through evolution. A set of InfoSleuth[FPNB99] agents collaborates at a semantic level to execute information gathering and analysis tasks, where the underlying information sources can be diverse both in their structure and content. LARKS[SWKL02] is an agent capability description language that enables advertising, requesting and matching ....

J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, 1999.

....on an intensional level using existing ontologies. These descriptions function as an abstraction from the specific representation of a source to the source independent view of the ontology. Data objects are seen as instances of entity types represented in CLASSIC. 1 The InfoSleuth project [1, 6] investigates the use of Carnot technologies in a dynamically changing environment, such as the Internet. OBSERVER allows the use of different ontologies for the same domain to support the reuse of existing ontologies and the scaling of the system. Since ontologies are not integrated, semantic ....

Fowler, J.; Nodine, M.; Perry, B.; Bargmeyer, B.: AgentBased Semantic Interoperability in InfoSleuth, SIGMOD Record, Vol. 28, No.1, March 1999

....use and the related advantages of the exploitation of agents in our infrastructure for the coordination of data retrieval and management. 4 Related Work As far as we know, there are few agent based approaches in the area of information integration. A significative is the MCC InfoSleuth(tm) [31, 21] Project 1. It is an agent based system for information gathering and analysis tasks performed over networks of autonomous information sources. A key motivation of the InfoSleuth system is that real information gathering applications require long running monitoring and integration of information ....

J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in infosleuth. SIGMOD Record, 28(1):60--67, 1999.

....satisfying certain criteria and a second one for a picture showing a map of the corresponding location. This decomposition task can be of varying complexity and can generate a set of possible decompositions, based on the information about the underlying sources and the domain of interest [101, 102, 103, 44, 84, 28, 29, 30, 17, 19, 73, 74, 128, 2, 3, 4, 5]. Integrate the query with additional user information, if available. This could require asking first a profiling agent for the user profile, habits, rights and interests. e.g. if a user is looking for Web pages about a given topic, and the system knows that the user does not speak English, ....

....with the selected information source, if it has specific rights, and so on. INFSYS RR 1843 00 05 5 Select the information sources to be queried, using the meta knowledge about them and about the application domain to determine which of the sources contain relevant data to answer the query [101, 102, 103, 44, 84, 28, 29, 30, 4, 5, 17, 19, 73, 74, 128]. If possible, determine further preferred information sources to be queried. Create a query plan. Determine in which order sub queries are to be performed [101, 102, 103, 17, 19] on the basis of query decomposition, of the data available in every source and of preference over sources, in ....

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B. Bargmeyer, J. Fowler, M. Nodine, and B. Perry. Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, 1999.

....includes various AI systems that follow a declarative approach using a single global integration model but which is different from LAV, and usually based 6 on mappings to or between ontologies based on various formalisms. Systems belonging to this category include OBSERVER [22] and InfoSleuth [11] (and its predecessor CARNOT [28] 4 Architectural Principles In the computing environment of a large scientific collaboration there may be a large number of individual information systems. As a consequence, there is a problem in specifying the mappings between them (e.g. for integrating a ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agent-based Semantic Interoperability in Infosleuth. SIGMOD Record 28, 1999.

....and challenging problem of attribute matching [LNE89] for the purpose of information integration. To address this problem, researchers have used a variety of techniques including the use of data values [LC94, CRL98] data dictionary information [CRL98] structural properties [PSU98] ontologies [FPNB99] synonyms and other terminological relationships found in dictionaries and thesauri [HR90, BCV99, CA97] and various combinations of these techniques [KS96, KS98, CAFP98] These are the kinds of facets of metadata we wish to exploit, all of which may contribute to the resolution of ....

J. Fowler, B. Perry, M. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, March 1999.

....that includes various AI systems that follow a declarative approach using a single global integration model but which is di#erent from LAV, and usually based on mappings to or between ontologies based on various formalisms. Systems belonging to this category include OBSERVER [22] and InfoSleuth [11] (and its predecessor CARNOT [28] 4 Architectural Principles In the computing environment of a large scientific collaboration there may be a large number of individual information systems. As a consequence, there is a problem in specifying the mappings between them (e.g. for integrating a ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agent-based Semantic Interoperability in Infosleuth. SIGMOD Record 28, 1999. 11

.... for example [CM99] Attacking the problem head on, many researchers have offered their ideas on heterogeneity issues, for example [ACHK93, Coh98, KMA 98] with many of these issues coming to the forefront in a recent special section on semantic interoperability in SIGMOD Record [BCV99, FPNB99, OS99, SO99, Gal99] The work presented in this paper differs from previous work in its particular approach to the general problem. We focus on extracting information from heterogeneous sources for a particular predefined target view. This makes the problem we are attacking more manageable than ....

....we may be able to adopt or adapt this work, but this is not an issue we resolve in this paper. Besides units and value normalization, there are still more difficulties in some application areas. Scientific work involves granularity of results, scientific ontologies, and a host of other concerns [FPNB99] SO99] contains an interesting discussion of some military issues and includes as an example altitude, which for spacecraft is the distance above the center of the earth, but which for aircraft is the distance above the surface of the earth. Many of these issues are currently under ....

J. Fowler, B. Perry, M. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in infosleuth. SIGMOD Record, 28(1):60--67, March 1999.

....that our decomposition of capabilities into individual ontology fragments is a very general structure which can provide us with a uniform view of information and services. This makes the representation and reasoning over the 3 This example is derived from the ontologies used in the eden Project [5]. MCC Technical Report SRI 072 99 6 capability example capability ontology service class subscription slot computation in fdirectg slot adaptability slot response type in fincrementalg ontology environment class site slot state in fTexasg slot contaminant slot remedial response slot ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agentbased semantic interoperability in InfoSleuth. Sigmod Record, 28(1), March 1999.

.... for example [CM99] Attacking the problem head on, many researchers have o#ered their ideas on heterogeneity issues, for example [ACHK93, Coh98, KMA 98] with many of these issues coming to the forefront in a recent special section on semantic interoperability in SIGMOD Record [BCV99, FPNB99, OS99, SO99, Gal99] The work presented in this paper di#ers from previous work in its particular approach to the general problem. We focus on extracting information from heterogeneous sources for a particular predefined target view. This makes the problem we are attacking more manageable than ....

....we may be able to adopt or adapt this work, but this is not an issue we resolve in this paper. Besides units and value normalization, there are still more di#culties in some application areas. Scientific work involves granularity of results, scientific ontologies, and a host of other concerns [FPNB99] SO99] contains an interesting discussion of some military issues and includes as an example altitude, which for spacecraft is the distance above the center of the earth, but which for aircraft is the distance above the surface of the earth. Many of these issues are currently under ....

J. Fowler, B. Perry, M. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in infosleuth. SIGMOD Record, 28(1):60--67, March 1999.

....representation and retrieval of textual information. In addition, the database community is becoming increasingly interested in non conventional types of data; timely access to textual information has become more and more important as well. At MCC, the InfoSleuth TM project [Bayardo et al. 1996, Fowler et al. 1999, Nodine et al. 1999] aims to retrieve and process information in an ever changing network of information sources. Recent technologies such as internetworking and the World Wide Web have significantly expanded the type, availability and volume of data available to an information management system. ....

J. Fowler, M. Nodine, B. Perry, and B. Bargmeyer. Agent-based semantic interoperability in InfoSleuth. SIGMOD Record, 28, 1999.

....although it leaves out discussion of ontology creation and management, image, free text, web page, and object data, complex event detection, the intricacies of agent engineering and value mapping, it does capture enough of the spirit of the system for discussion here. We refer the reader to [2][8] for an in depth discussion of InfoSleuth. 3 This example is based on the example used in [9] 4 In fact, in InfoSleuth ontologies are represented and exchanged using the OKBC [4] formalism. 3 Query Analysis 3.1 Definitions and Assumptions Assume a set of relations R where R = R 1 ; Rm ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agent-based semantic interoperability in infosleuth. Sigmod Record, 28, 1999.

....although it leaves out discussion of ontology creation and management, image, free text, web page, and object data, complex event detection, the intricacies of agent engineering and value mapping, it does capture enough of the spirit of the system for discussion here. We refer the reader to [2][8] for an in depth discussion of InfoSleuth. 3 This example is based on the example used in [9] 4 In fact, in InfoSleuth ontologies are represented and exchanged using the OKBC [4] formalism. 3 Query Analysis 3.1 Definitions and Assumptions Assume a set of relations R where R = R 1 ; ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agent-based semantic interoperability in infosleuth. Sigmod Record, 28, 1999.

....although it leaves out discussion of ontology creation and management, image, free text, web page, and object data, complex event detection, the intricacies of agent engineering and value mapping, it does capture enough of the spirit of the system for discussion here. We refer the reader to [2][7] for an in depth discussion of InfoSleuth. agent, that, after consulting with a broker agent that possesses resource agent advertisements, decides the set relevant resource agents, sends these resource agents parts of the query, waits on results from these resources, fuses these results into an ....

Jerry Fowler, Marian Nodine, Brad Perry, and Bruce Bargmeyer. Agentbased semantic interoperability in infosleuth. Sigmod Record, 28, 1999.

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J. Fowler, B. Perry, M. H. Nodine, and B. Bargmeyer. Agent-Based Semantic Interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, 1999.

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J. Fowler, B. Perry, M. Nodine, and B. Bargmeyer. Agent-based semantic interoperability in InfoSleuth. SIGMOD Record, 28(1):60--67, March 1999.

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Jerry Fowler, Brad Perry, Marian Nodine, and Bruce Bargmeyer. Agent-based semantic interoperability in infosleuth. SIGMOD Record, 28(1):60--67, 1999.

No context found.

Jerry Fowler, Brad Perry, Marian Nodine, and Bruce Bargmeyer. Agent-Based Semantic Interoperability in InfoSleuth. In proceedings of ACM SIGMOD Conference, 1999.

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