V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... key technology for this kind of applications [Fensel, 2001, Uschold and Gruninger, 1996, Gruninger and Uschold, 2002] Successful approaches and applications are reported from the database area where ontologies have been used to enable Intelligent Information Integration (e.g. Arens et al. 1993, Kashyap and Sheth, 1998, Levy et al. 1996, Calvanese et al. 1998b, Preece et al. 1999] However, many of these approaches rely on the existence of well established data structures that can be used to analyze and exchange information. There are attempts to extend existing approaches to semi structured information. ....

.... information, however, remains an important research topic called Intelligent Information Integration [Fensel, 1999, Wiederhold, 1996] Problems that might arise due to heterogeneity of the data are already well known within the distributed database systems community (e.g. Kim and Seo, 1991] [Kashyap and Sheth, 1998]) In general, heterogeneity problems can be divided into three categories: 1. Syntax (e.g. data format heterogeneity) 2. Structure (e.g. homonyms, synonyms or di#erent attributes in database tables) and 9 3. Semantics (e.g. intended meaning of terms in a special context or application) ....

[Article contains additional citation context not shown here]

Kashyap, V. and Sheth, A. (1998). Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In Papazoglou, M. P. and Schlageter, G., editors, Cooperative Information Systems, pages 139--178. Academic Press, San Diego.

....[7] the tight coupling strategy that creates a new information system with a unified semantics and the loose coupling approach that does not touch the individual semantics and instead provides transformations on a semantic level. There are strong arguments in favor of the loose coupling approach [12]. First of all the use of individual semantics allows small representations and e#cient reasoning within the individual system. Second, the semantics in a multi context system is much more flexible and can be used to handle inconsistencies that would become threatening when trying to create a ....

....is an explicit specification of a conceptualization. An ontology is used to make assumptions about the meaning of a term available. It can also be seen an an explication of the context a term is normally used in. Fig. 1. The Role of Context in Information Systems Interoperability. adapted from [12]) Kashyap and Shet [12] discuss the role of contexts and ontologies for semantic interoperability (compare figure 1) According to their view, contexts are used to abstract from the content of an information repository. So called metadata contexts describe the information content of a repository ....

[Article contains additional citation context not shown here]

Vipul Kashyap and Amit Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In M. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Current Trends and Applications. 1996.

....dominance of systems using some variants of description logics in order to represent ontologies. The most cited language is CLASSIC [Borgida et al. 1989] which is used by different systems including OBSERVER [Mena et al. 1996] SIMS [Arens et al. 1996] and the work of Kashyap and Sheth [Kashyap and Sheth, 1996b] Other terminological languages used are GRAIL [Rector et al. 1997] the Tambis Approach [Stevens et al. 2000] LOOM [MacGregor, 1991] and OIL [Fensel et al. 2000] which is used for terminology integration in the BUSTER approach [Stuckenschmidt and Wache, 2000] Beside the purely ....

Vipul Kashyap and Amit Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In M. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Current Trends and Applications. 1996.

....to provide full accessibility to the data, it also requires that the accessed data may be processed and interpreted by the remote system. Problems that might arise due to heterogeneity of the data are already well known within the distributed database systems community (e.g. Kim and Seo, 1991] [Kashyap and Sheth, 1996a] structural heterogeneity (schematic heterogeneity) and semantic heterogeneity (data heterogeneity) Kim and Seo, 1991] Structural heterogeneity means that different information systems store their data in different structures. Semantic heterogeneity considers the content of an information ....

....dominance of systems using some variants of description logics in order to represent ontologies. The most often cited language is CLASSIC [Borgida et al. 1989] which is used by different systems including OBSERVER [Mena et al. 1996] SIMS [Arens et al. 1996] and the work of Kashyap and Sheth [Kashyap and Sheth, 1996b] Other terminological languages used are GRAIL [Rector et al. 1997] the Tambis Approach [Stevens et al. 2000] LOOM [MacGregor, 1991] and OIL [Fensel et al. 2000] which is used for terminology integration in the BUSTER approach [Stuckenschmidt and Wache, 2000] In order to get an ....

[Article contains additional citation context not shown here]

Vipul Kashyap and Amit Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In M. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Current Trends and Applications. 1996. 2

....languages, remains. Indeed, with global inter connectivity, the issue is more important and intractable now than at the outset of distributed information systems technology. The problem of data fusion under conditions of semantic heterogeneity may be decomposed into identification and resolution [6]. The present work addresses both these questions in the context of geographic information sources. The process of identification enables us to select areas where semantic issues arise (often in the form of possible conflicts and inconsistencies) The process of resolution enables the fusion to ....

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In M. P. Pa- pazoglou and G. Schlageter, editors, Cooperative Information Systems, pages 139--178. Academic Press, San Diego, 1998.

....And to do that we have to establish some meta metadata about what classification is used to describe the documents, and other information about the overall resources around the documents. This problem has been tackled with ontologies, but we don t deal with it in this paper, see references as [KS97] 2.4 DISTRIBUTED SYSTEMS Distributed search tools like Harvest, proposed new architecture which consist in defining distributed indexing services and make them available for end users or others indexing systems. This is to build some scalable architecture . The major problems for these ....

Vipul Kashyap and Amit Sheth. Semantic Heterogeneity in Global Information Sys tems: The Role of Metadata, Context and Ontologies. Academic Press, 1997.

....very large numbers of terms, e.g. the catalog of Open Directory contains 300.000 terms. Our work differs from other approaches that support approximate translations. The difference with [17] is that we also support negation in queries, while the difference with the system presented in [21] [22], is that the described system merges the ontologies of all underlying sources. We propose articulation instead of merging, because merging the ontologies of all underlying sources would introduce storage and performance overheads. In addition, full integration is a laborious task which in many ....

Vipul Kashyap and Amit Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

....by ontologically integrating these concepts through a set of generic ontologies. The use of semantic interrelations is another approach for ontology integration [25, 30] For example, OBSERVER is an ontology based system that is enhanced with relationships for vocabulary heterogeneity resolution [23, 24, 30]. It uses terminological relations (hyponymy and hypernymy) to map the non translated terms in a user ontology onto terms (which are not synonymous) in a target component ontology. This translation process is recursive and consists of substituting non translated terms with the intersection of ....

Kashyap, V. and A. Sheth, Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context, and Ontologies, in M. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Tends and Directions 1998, Academic Press: London, UK. p. 139-178.

....presents an overview of the interoperability issues. He divides the course of its development to three eras until the need for resolving semantic issues. He also considers ontologies, contexts, and semantic correlation as important issues in future of interoperable systems. Kashyap and Sheth (in [45]) state that database schemas do not convey sufficient information for resolution of semantic heterogeneity. They discuss the need for domain specific ontologies, and represent them by description logic. Bishr (in [8] presented a model (SFDS semantic formal data structure) based on FDS [50] He ....

....(or more) information communities can agree upon i.e. minimum restrictions for the information communities committed to a common ontology [34] Objectives: By this study, we can approach two questions 2 and 3 addressed in section 2. Since ontology is an important means to represent semantics [45], ontologies can help to formalize part of semantics. As we try to formalize a common ontology it can be a base for evaluating the similarity or heterogeneity of semantics. 2.4.3 Study on Semantically Interoperable Systems Another issue to be considered is how systems can cooperate. Where and ....

V. Kashyap, A. Sheth, Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context and Ontologies, in: Cooperative Information Systems: Current Trends and Directions, edited by Papazoglu M., Schlageter G., Academic Press, pp 139-178, 1998

.... have exponential complexity as opposed to the complexity of our mediators which is clearly polynomial (see the full paper [21] for more details) Another relevant system aiming at translating queries over multiple distributed and heterogeneous ontology based sources is the system OBSERVER ( 15] [12]) It employs interontology relations and the translation of queries is based on intentional and extensional properties. The difference with our work is that their approach requires merging the ontologies of all underlying sources. Instead, we just articulate the ontologies of the sources with the ....

V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

....database has its own local dictionary, called local lexicon , that contains the semantic description of every kind of object in the database. Between two systems that communicate, a semantic dictionary allows comparisons between local dictionaries . Ontologies and metadata. Kashyap and Sheth [16] use metadata in order to describe the organization of each data repository. Specific ontologies are used in order to describe each domain. These ontologies help defining the application context. Comparing ontologies, one can solve semantic differences. With these two approaches, in order the ....

Kashyap, V., and Sheth, A. Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context and Ontologies in Cooperative Information Systems: Current Trends and Directions. Academic Press, 1997.

....Major issues addressed in building the InfoQuilt system are as follows: A large portion of the data on the web is either unstructured or semi structured. There are syntactic, structural and semantic heterogeneities across different sources providing information about the same domain [KS97, She99]. In addition to these inconsistencies there is overlapping of information The knowledge of domains and their sources need to be modeled so that the system is able to automatically identify the sources of data that could possibly provide useful information with respect to the information request ....

V. Kashyap, A. Sheth. Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context and Ontologies. M. Papzoglou, and G. Schlageter, (Eds.), Academic Press, 1997

No context found.

V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

Vipul Kashyap and Amit Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: the role of metadata, context and ontologies. In M. P. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Trends and Directions, pages 139--178, London, United Kingdom, 1997. Academic Press.

No context found.

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: the role of metadata, context and ontologies. In M. P. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Trends and Directions, pages 139--178, London, United Kingdom, 1997. Academic Press.

No context found.

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In Michael P. Papazoglou and Gunter Schlageter, editors, Cooperative Information Systems, pages 139-178. Academic Press, San Diego, 1998.

No context found.

V. Kashyap and A. Sheth, "Semantic Heterogeneity in Global Information System: The Role of Metadata, Context and Ontologies," in Cooperative Information Systems: Current Trends and Directions, M. Papazoglou and G. Schlageter, Eds. London: Academic Press, 1996, pp. 139-178.

No context found.

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: The role of metadata, context, and ontologies. In M Papazoglou and G Schlageter, editors, Cooperative Information Systems: Tends and Directions, pages 139--178, London, UK, 1998.

No context found.

Vipul Kashyap and Amit Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

V. Kashyap and A. Sheth. "Semantic Heterogeneity in Global Information Systems: the Role of Metadata, Context and Ontologies ". In Cooperative Information Systems: Trends and Directions. Academic Press, 1998.

No context found.

V. Kashyap and A. Sheth. Semantic heterogeneity in global information systems: The role of metadata, context and ontologies. In M. Papazoglou and G. Schlageter, editors, Cooperative Information Systems: Current Trends and Directions, pages 139--178, 1998.

No context found.

V. Kashyap and A. Sheth "Semantic Heterogeneity in Global Information Systems" in "Cooperative Information Systems: Current Trends & Directions", Eds: M. Papazoglou and G. Schlageter, pp. 1997.

First 50 documents

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC