W. W. Chu et al. "CoBase: A Scalable and Extensible Cooperative Information System". J. Intelligent Information Systems (JIIS), 6(2/3):223--259, May 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....of enlarging the scope of a query by relaxing the searching range and refocusing to the nearest subranges of the original query. To carry out this relaxation, various levels of abstraction and refinement could be predefined or the relaxation could be performed dynamically. Currently, CoBase [Chu96] is one of the few systems that support cooperative query answering. CoBase, is a cooperative database system that can derive approximate answers to a query by relaxing query conditions when no exact answers are available. It utilizes a knowledge structure type abstraction hierarchies (TAHs) ....

Chu, W., Yang, H., Chiang, K., Minock, M., Chow, G., Larson, C., CoBase: A scalable and extensible cooperative information system, Journal of Intelligence Information Systems. 4(6) : pp 301-340, 1996.

....a probe for relevant information, regardless of its information content, there is no need to go back and relax a query after a failure. A failure of a query, given our broad definition of answer, means there is nothing relevant to the query known by an answering agent. CoBase [Chu et al. 1994, Chu et al. 1996, Minock and Chu, 1996] is a cooperative database system that makes query relaxation, generalization, and specialization available to a user. As part of this effort, the query language CSQL has been developed. CSQL interacts with a type abstraction hierarchy that contains general domain knowledge ....

....regardless of its information content, there is no need to go back and relax a query after a failure. A failure of a query, given our broad definition of answer, means there is nothing relevant to the query known by an answering agent. CoBase [Chu et al. 1994, Chu et al. 1996, Minock and Chu, 1996] is a cooperative database system that makes query relaxation, generalization, and specialization available to a user. As part of this effort, the query language CSQL has been developed. CSQL interacts with a type abstraction hierarchy that contains general domain knowledge at the top level and ....

Welsey W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. Cobase: A scalable and extensible cooperative information system. Journal of Intelligent Information Systems, 6, 1996.

....interaction. VAGUE [15] in addition to adding distance functions to relational queries, helps the user pose imprecise queries. The Eureka [20] browser is a user interface that lets users interactively manipulate the conditions of a query with instantly update the results. The goal of the CoBase [8] cooperative database system is to avoid empty answers to queries through condition relaxation. Agrawal [2] proposes a framework where users submit preferences (feedback) and explains how they may be composed into compound preferences. 7 Conclusions In this paper, we concentrated on developing a ....

Wesley W. Chu et al. CoBase: A Scalable and Extensible Cooperative Information System. Journal of Intelligent Information Systems, 6, 1996.

....the query based on the value of answers, but instead to formulate queries and resolve con icts regarding the number of results. The Eureka [31] browser is a user interface that lets users interactively manipulate the conditions of a query with instantly update the results. The goal of the CoBase [10] cooperative database system is to avoid empty answers to queries. It uses Type Abstraction Hierarchies (TAHs) and relaxation operators to relax query conditions and expand the answer set. CoBase is di erent from our approach: relaxation operators in uence existing query conditions but cannot add ....

Wesley W. Chu et al. CoBase: A Scalable and Extensible Cooperative Information System. Journal of Intelligent Information Systems, 6, 1996.

....and other sources of information. Access to SQL databases through KQML had already been proposed, because it is of great interest in the multiagent software engineering community. In particular, the CoBase system provides for KQML access to databases, by means of a specific content language [5] called CCL (CoBase Content Language) which is in turn based on a specific ontology (CO, Cobase Ontology) This way, KQML acts as a transport language for intercommunicating entities, and its expressive power is not fully exploited. Workshop Dagli oggetti agli agenti: tendenze evolutive dei ....

W.W.Chu,H.Yang, K.Chiang, M.Minock, G.Chow, and C.Larson, "CoBase: A Scalable and Extensible Cooperative Information System", Journal of Intelligence Information Systems, 6, 1996.

....of the information provided, and an assessment of the trustworthiness and reliability of the provider. Thus, our collection of trusted and reliable agents should be able to: 1. 1.1. 1. Search for, acquire, analyze, integrate and curate data from multiple heterogeneous distributed sources [2 8], 2. 2.2. 2. Inform when new data of special interest becomes available [9] 3. 3.3. 3. Negotiate for, purchase and receive information, goods and services [10 14] 4. 4.4. 4. Explain the relevance, quality and reliability of that information [15, 16] and 5. 5.5. 5. Adapt, learn and evolve in ....

W. W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson, CoBase: A Scalable and Extensible Cooperative Information System, Journal of Intelligent Information Systems, vol. 6, 2/3, pp. 223-259, 1996.

....Query Expansion to Multiple Ontologies If the user is not satis ed with the answer, the query processor retrieves more data from other ontologies in the Global Information System to enrich the answer in an incremental manner. Some researchers have looked into the problem of query relaxation [7, 5]. However, they have proposed techniques for query relaxation within the same schema ontology knowledge base. We di er with the above in two important ways: 1) we propose techniques for query relaxation across ontologies by using synonym, hyponym and hypernym relationships; and (2) we provide ....

W. W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson. Cobase: A Scalable and Extensible Cooperative Information System. Journal of Intelligent Information Systems, 6(2-3), 1996.

....Query translation and mapping in [22] is separated into two steps, generation of supported queries for a given source and a consequent the containment check. Combining these steps would provide a more directed query reduction mechanism. Many query relaxation methods described in the literature [8, 10, 15] use some sort of a partial ordering of attribute values or atoms. These notions of relaxation can be captured easily in our framework. The need to integrate search interfaces was addressed in [13] As it is pointed out in this paper, most meta search engines tend to support the least common ....

Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. "CoBase: A Scalable and Extensible Cooperative Information System", Journal of Intelligence Information Systems. Vol 6, 1996, Kluwer Academic Publishers, Boston, Mass.

....progressing at a rapid pace. Information systems are now being called upon to support knowledge management, and not just to process data or information. Many advances contribute to taking information systems beyond mere data into the realm of knowledge. These include: cooperative query processing (Chu et al. 1996; Jurisica, 1999) similarity based retrieval and browsing (Jurisica, Glasgow Mylopoulos, 1999) data mining and knowledge discovery (Jurisica et al. 1998) text understanding (Hahn, Romacker Schulz, 1999; Riloff, 1996) data translation services (Gruber, 1993) and knowledge sharing ....

Chu, W.W., H. Yang, K. Chiang, M. Minock, G. Chow & C. Larson. (1996). CoBase: A scalable and extensible cooperative information system. Journal of Intelligent Information Systems, 6.

....Query Expansion to Multiple Ontologies If the user is not satisfied with the answer, the query processor retrieves more data from other ontologies in the Information System to enrich the answer in an incremental manner. Some researchers have looked into the problem of query relaxation [6, 4]. However, they have proposed techniques for query relaxation within the same schema ontology knowledge base. We differ with the above in two important ways: 1) we propose techniques for query relaxation across ontologies by using synonym, hyponym and hypernym relationships; and (2) we provide ....

W. W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson. Cobase: A Scalable and Extensible Cooperative Information System. Journal of Intelligent Information Systems, 6(2-3), 1996.

....HCP Payor Assessment Medical Literature Medical Plan correlates with links to correlates with links to links to links to links to links to similar to Fig. 2. Scenario based information web for a medical application A. Technical Basis The cooperative database system, CoBase [10], provides approximate and conceptual query answers that approximately match query conditions when exact answers are unavailable. The knowledge base used by CoBase is a tree structure hierarchy called the type abstraction hierarchy (TAH) 11] Using such a representation, CoBase is able to ....

W. W. Chu, H. Yang, K. Chiang, M. Minock, G. C., and C. Larson, \CoBase: A scalable and extensible cooperative information system," Journal of Intelligent Information Systems, vol. 6, no. 11, 1996.

....Figure 9 with Figure 8(b) it can be seen that our method yields scenario specific correlation, e.g. treatment or diagnosis. 6 RELATED WORK Content Correlation is related to the research of mediating distributed and heterogeneous databases and searching for similar answers for a given query [22, 23, 24]. These works mainly focused on structured data sources. In this paper, we have studied the interoperability among highly unstructured data sources of free text documents. Past research on Content Correlation largely focused on applying statistical or syntactical information to link documents [8, ....

W.W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson. CoBase: A scalable and extensible cooperative infornlation system. J. Intell. Inform. Syst., 6(11), 1996.

....develop a query relaxation framework for searching answers that match the given query conditions approximately . Query relaxation enables systems to relax the user query to a less restricted form to permit approximate answers. Query relaxation technique has been used in relational databases (e.g. [MSB98, CCH94, CYC96, CG99, Gaa97]) and has proven to be a valuable technique for deriving approximate answers. nature of XML model allows varied structures and or values and the non rigid XML tag syntax enables to embed a wealth of meta information in XML documents. The following points illustrates that query relaxation becomes ....

....relaxation for XML model more important than that for the relational model, as discussed in Chapter 1.1. 3.2 Related Work Query relaxation and its related techniques (e.g. cooperative information systems, query expansion, etc. have been extensively investigated in both IR and DB areas (e.g. [Kap82, Mot84, Mot86, Gal88, Mot90, CLC91, CYC94, CCH94, CYC96, CCH96, God97, CG99]) In this Section, we briefly review those related works. When a query fails, it is more cooperative to identify the causes of failure, rather than just to report the empty answer set [God97] Information system with such capability is known as Cooperative Information System. Kaplan [Kap82] is ....

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W. W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson. "CoBase: A Scalable and Extensible Cooperative Information System". J. Intelligent Information Systems (JIIS), 6(2/3):223--259, May 1996.

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Chu, W. W., H. Yang, et al. CoBase: A Scalable and Extensible Cooperative Information System. JIIS , 1996.

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W. W. Chu, H. Yang, K. Chiang, M. Minock, G. Chow, and C. Larson. "CoBase: A Scalable and Extensible Cooperative Information System". Journal of Intelligent Information Systems (JIIS), 6(11), 1996. 19

....that run on top of relational databases. CoBase supports query relaxation to provide approximate query answers if an exact answer is not available [17] The query formulator also supports cooperative operators, such as SIMILAR TO and NEAR TO, and relaxation control in the query language CoSQL [17, 18]. Using the above query formulation technique, we are able to formulate SPJ queries, with or without aggregate functions, as well as CoSQL queries. 4 Incremental Query Formulation for Complex Queries Due to the difficulty in formulating complex queries directly, incremental formuation is ....

Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. Cobase: A scalable and extensible cooperative information system. Journal of Intelligent Information Systems, 1996.

....vectors ff F , fi F , and fl F are shown in Table 2. Xi 5.2 Categorization( X F X C ) In this step, feature vectors extracted in feature extraction step are mapped into corresponding symbols. Using the clustering technique (e. g, equal length interval, maximum entropy, or MTAH [6]) 3 , we first group similar feature vectors together. Then, a unique symbol is assigned to each group and lower and upper bounds for feature vectors included in the group are kept in the mapping table. One such example is depicted in Table 3. We use lb and ub to denote lower and upper bound of ....

W. W. Chu, H. Yang, et el., "CoBase: A Scalable and Extensible Cooperative Information System", JIIS , 1996.

....natural language processing component takes text from keyboard input or speech input and extracts the necessary information for formulating a database query. The High level Query Formulator takes this information and generates a database query using the Semantic Graph. The query is sent to CoBase [5, 6], a cooperative database system, or any relational database and answers are returned and displayed to the user. Linking a semantic model of the database with natural language is discussed in [4] Much work has been done in statistical methods for language understanding [3] which focuses on using ....

Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. CoBase: A scalable and extensible cooperative information system. Journal of Intelligent Information Systems, 6(11), 1996.

No context found.

W. W. Chu et al. "CoBase: A Scalable and Extensible Cooperative Information System". J. Intelligent Information Systems (JIIS), 6(2/3):223--259, May 1996.

No context found.

Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. Cobase: a scalable and extensible cooperative information system. J. Intell. Inf. Syst., 6(2-3):223--259, 1996.

No context found.

Chu W., Yang H., Chiang K., Minock M., Chow G., Larson C.(1996): CoBase: A Scalable and Extensible Cooperative Information System. Journal of Intelligence Information Systems, 6(2-3): 223 - 259.

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Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. Cobase: a scalable and extensible cooperative information system. J. Intell. Inf. Syst., 6(2-3):223--259, 1996.

No context found.

W.W. Chu, H. Yang, K. Chang, M. Minock, G Chow, C Larson. CoBase: A Scalable and Extensible Cooperative Information System. Journal of intelligent information systems, 6(2/3): 223-259, May 1996

No context found.

W. W. Chu et al. "CoBase: A Scalable and Extensible Cooperative Information System". J. Intelligent Information Systems (JIIS), 6(2/3):223--259, May 1996.

No context found.

Wesley W. Chu, Hua Yang, Kuorong Chiang, Michael Minock, Gladys Chow, and Chris Larson. Cobase: a scalable and extensible cooperative information system. J. Intell. Inf. Syst., 6(2-3):223--259, 1996.

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