In using a natural language database interface (NLI) to access the contents of a databese, the user queries may contain terms that do not appear at all in both the NLI lexicon and the database. A friendly NLI should not reject user queries with unknown terms, but should be able to handle them, and should be able to learn new lexical items. Such capability increases the usefulness of the NLI, and allows the NLI to more cover the domain of the underlying database. Therefore, a technique to handle unknown terms is decisive in designing a friendly NLI. In this work, we discuss a method that would allow a NLI to identify the meanings of unknown database field values, and terms that are exceeding the conceptual coverage of the database, in the user queries, by engaging the user in clarification dialogues based on a database-domain hierarchy. It will be shown that the method enables the NLI lexicon to learn new lexical items at run time while the clarification dialogues, and it may provide the necessary information for generating informative answers to some particular failing user queries. Moreover, the method is an efficient means to handle queries with insufficience contextual cues. The examples throughout this work are drawn from FIFA 90, an experimental NLI to a soccer database.

An optimal algorithm for decomposing a special type of the Hasse diagram into a minimum set of disjoint paths is described. It is useful for testing the consistency of functional dependencies.

Real-time database systems have the properties of database and real-time systems. This means they must keep timing constraints of transactions as required in real-time systems, and at the same time ensure database consistency as required in database systems. Real-time concurrency control is a general approach for resolving this conflict. In this type of control, a concurrency control technique for database systems is integrated with a task scheduling technique for real-time systems. This paper surveys previous studies on real-time concurrency control and considers future research directions.

A system is constructed for the processing of question-answer dialogue as a subsystem of the speech response device. In order to increase the adaptability to dialogue topics, rules for dialogue processing are classified into three groups; universal rules, topic-dependent rules and task-dependent rules, and example-based description is adopted for the second group. The system is disigned to operate only with information on the content words of the user input. As for speech synthesis, a function is included in the system to control the focal position. Introduction and guidance of ski areas are adopted as the dialogue domain, and a prototype system is realized on a computer. The dialogue example performed with the prototype indicates the propriety of our method for dialogue processing.

The security problems of object-oriented database system are investigated and security level assignment constraints and an access control mechanism based on the multilevel access control security policy are proposed. The proposed mechanism uses the Trusted Computing Base. A unique feature of the mechanism is that security levels are assigned not only to data items (objects), but also to methods and methods are not shown to the users whose security level is lower than that of the methods. And we distinguish between the security level of a variable in a class and that in an instance and distinguish between the level of an object when it is taken by itself and it is taken as a variable or an element of another complex object. All of this realizes the policy of multilevel access control.

The intelligent network services will considerably increase the amount of Control and OAM (Operation, Administration and Maintenance) Information (Ic&o) which will be stored in a huge number of distributed databases. Therefore, the management and the organization of databases have become critical issues for securing network performance. This paper studies one of the IN applications that is likely to be an important user of the Ic&o network, namely the Universal Personal Telecommunication (UPT). UPT enables the personal mobility, based on a UPT number related to the user and not a terminal equipment. The Ic&o information of UPT is carried through an ATM based transport network. Taking two fundamental parameters into consideration, namely delay time and the number of users, and two kinds of data location probabilities, this paper studies two basic procedures for finding target data in UPT databases, i.e., chaining and broadcasting. Results show that, when the data location probability is uniform, the broad-casting mode is the faster mode but, on the other hand, the chaining mode allows a larger number of users because the disk access time is less restrictive than in the broadcasting mode. Moreover, this study shows that increasing the number of databases also increases the allowed number of users up to a specific threshold. With a Broadcast Chaining mode, a better compromise between the delay time and the number of allowed users is obtained. If the probability depends on the location of databases (the probability is conversely proportional to the square of the number of searched databases), the results show that the chaining mode is preferable from both the number of users allowed and the delay time viewpoints. Finally, the implementation aspect is discussed.

A new indexing technique for rapid evaluation of nested query on composite object is propoced, reducing the overall cost for retrieval and update. An extended B+ tree is introduced in which object identifier (OID) to be searched and path information usud for update of index record are stored in leaf node and subleaf node, respectively. In this method, the retrieval oeration is applied only for OIDs in the leaf node. The index records of both leaf and subleaf nodes are updated in such a way that the path information in the subleaf node and OIDs in the leaf node are reorganized by deleting and inserting the OIDs. The techniaue presented offers advantages over currently related indexing techniques in data reorganization and index allocation. In the proposed index record, the OIDs to be reorganized are always consecutively provided, and thus only the record directory is updated when an entire page should be removed. In addition, the proposed index can be allocate to a path with the length greater than 3 without splitting the path. Comparisons under a variety of conditions are given with current indexing techniques, showing improved performance in cost, i.e., the total number of pages accessed for retrieval and update.

Relational query languages like SQL and QUEL require the users to understand the complex detabase structure. This is a burden on end users, especially novice end users who access the database on a casual and infrequent basis. To alleviate the need to know the logical database origanization, this paper proposes the use of a semantic data model, known as the Enhanced Entity-Relationship (EER) model, as a front-end to the relational systems. A formal, high-level Visual Knowledge Query Language (VKQL) has also been designed for this interface. This language provides for knowledge abstraction as the user communicates only domain knowledge with the system without any implication on the storage structure or search strategies. A translation algorithm is also described in this paper to translate VKQL queries to Standard SQL equivalents.

The meaning of analogical reasoning in locally stratified logic programs are described by generalized stable model (GSM) semantics. Although studies on the theoretical aspects of analogical reasoning have recently been on the increase, there have been few attempts to give declarative semantics for analogical reasoning. This paper takes notice of the fact that GSM semantics gives meaning to the effect that the negated predicates represent exceptional cases. We define predicates that denote unusual cases regarding analogical reasoning; for example, ab(x)p(x)g(x), where p(s), q(s), p(t) are given. We also add rules with negated occurrences of such predicates into the original program. In this way, analogical models for original programs are given in the form of GSMs of extended programs. A proof procedure for this semantics is presented. The main objective of this paper is not to construct a practical analogical reasoning system, but rather to present a framework for analyzing characteristics of analogical reasoning.

A tag-partitioned join algorithm is described. The algorithm partitions only one relation, while other partition-based algorithms partition both relations. It is performed as the joinable tuples of one relation are rearranged and some of them are duplicated according to the original sequence of the join attribute values of the other relation. To do this, the algorithm first finds the positions of all the tuples of the other relation which are joinable with each tuple of one relation, and then partitions joinable tuples of one relation into buckets by using the positions found. Final joining is performed on the partitioned relation and the other relation. We analyze and compare the performance of the algorithm with that of other partition-based join algorithms. The comparison shows that our method is better than other partition-based methods under the practical values of the analysis parameters.