The InfoSleuth Project

Bayardo, Roberto J.; Bohrer, W.; Brice, Richard; Cichocki, Andrzej; Fowler, Jerry; Halal, A.; Kashyap, Vipul; Ksiezyk, Tomasz; Martín, Guiomar; Nodine, Marian H.; Rashid, Md. Mamunur; Rusinkiewicz, Marek; Shea, R.; Unnikrishnan, C.; Unruh, Amy; Woelk, Darrell

doi:10.1145/253260.253401

Cited by 10 publications

(8 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TSIM-MIS (Garcia-Molina et. al, 1997), Information Manifold (Levy, 1998), InfoSleuth (Bayardo et. al, 1997), MOMIS (Beneventano et.al, 2001), and LSD (Doan et.…”

Section: Global Schema and Local Databasesmentioning

confidence: 99%

State of the Art on Ontology Alignment

Vargas-Vera

Nagy

2015

International Journal of Knowledge Society Research

View full text Add to dashboard Cite

Ontology mapping as a semantic data integration approach has evolved from traditional data integration solutions. The core problems and open issues related to early data integration approaches are also applicable to ontology mapping on the Semantic Web community. Therefore, in this review the authors present the related literature, starting from the traditional data integration approaches, in order to highlight the evolution of data integration from the early approaches. Once the roots of semantic data integration have been presented, the authors proceed to introduce the state-of-the-art of the ontology mappings systems including the early approaches and the systems that can be compared through the Ontology Alignment Initiative (OAEI).

show abstract

“…TSIM-MIS (Garcia-Molina et. al, 1997), Information Manifold (Levy, 1998), InfoSleuth (Bayardo et. al, 1997), MOMIS (Beneventano et.al, 2001), and LSD (Doan et.…”

Section: Global Schema and Local Databasesmentioning

confidence: 99%

State of the Art on Ontology Alignment

Vargas-Vera

Nagy

2015

International Journal of Knowledge Society Research

View full text Add to dashboard Cite

show abstract

“…As ontologies have gained growing attention over the past decade, many people have used an ontology as the global schema for a data integration system, building socalled ontology-based information integration systems, for example, Carnot (Collet, Huhns, & Shen, 1991), SIMS (Arens, Knoblock, & Shen, 1996), OBSERVER (Mena, Illarramendi, Kashyap, & Sheth, 1996), Information Manifold (Levy, Srivastava, & Kirk, 1996), InfoSleuth (Bayardo et al, 1997), PICSEL (Goasdoue, Lattes, & Rousset, 1999), and DWQ (Calvanese, Giacomo, Lenzerini, Nardi, & Rosati, 2001). In these systems, mappings are specified from data sources to an ontology acting as a global schema.…”

Section: Mappingsmentioning

confidence: 99%

Maintaining Mappings between Conceptual Models and Relational Schemas

Song

2010

Journal of Database Management

View full text Add to dashboard Cite

This paper describes a round-trip engineering approach for incrementally maintaining mappings between conceptual models and relational schemas. When either schema or conceptual model evolves to accommodate new information needs, the existing mapping must be maintained accordingly to continuously provide valid services. In this paper, the authors examine the mappings specifying “consistent” relationships between models. First, they define the consistency of a conceptual-relational mapping through “semantically compatible” instances. Next, the authors analyze the knowledge encoded in the standard database design process and develop round-trip algorithms for incrementally maintaining the consistency of conceptual-relational mappings under evolution. Finally, they conduct a set of comprehensive experiments. The results show that the proposed solution is efficient and provides significant benefits in comparison to the mapping reconstructing approach.

show abstract

“…To the user, queries and advertisements have simple natural language equivalents. The InfoSleuth 1 project ( Figure 1) [2] at MCC represents one of the first wide scale efforts to deliver this type of capability.…”

Section: Introductionmentioning

confidence: 99%

“…However, 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.…”

mentioning

confidence: 99%

The identification of missing information resources through the query difference operator

Minock

Rusinkiewicz²,

Perry³

1999

Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384)

Self Cite

View full text Add to dashboard Cite

In this paper we consider the processing of queries posed over multiple information resources that advertise their contents in terms of globally available, domain-specific ontologies. We describe a technique to identify the exact portion of a user's query that may not be answered by the set of available information agents. This is achieved by reasoning over the advertisements of the agents relative to the user's query. Our technique is based on the realization that the set difference of the queries q 1 and q 2 may be computed as a syntactic manipulation of the expressions q 1 and q 2 for a well defined subset of the relational algebra over a restricted class of relational schemas. That is to say, one may, without materializing data, take the expressions for q 1 and q 2 , apply the query difference formula to yield q 3 , and be guaranteed that q 3 is logically equivalent to q 1 , q 2 . With this Query Difference operator defined, the ability to compute query intersection, subsumption and equivalence follow. These claims are formally defined and proven and an example from an online movie guide domain is provided.In addition to the identification of missing resource agents, we anticipate a number of other applications of the Query Difference operator. This includes, but is not limited to, limiting the generality of dynamically constructed user queries, efficient query planning, and monitoring and controlling access to sensitive information.

show abstract

The InfoSleuth Project

Cited by 10 publications

References 4 publications

State of the Art on Ontology Alignment

State of the Art on Ontology Alignment

Maintaining Mappings between Conceptual Models and Relational Schemas

The identification of missing information resources through the query difference operator

Contact Info

Product

Resources

About