Splitting compound words has proved to be useful in areas such as Machine Translation, Speech Recognition or Information Retrieval (IR). Furthermore, real-time IR systems (such as search engines) need to cope with noisy data, as user queries are sometimes written quickly and submitted without

stored in these databases to answer complex queries that go beyond keyword searches. We face the following challenges: (1) Several information sources store interrelated data, and any query-answering system must understand the relationships between their contents. (2) Many sources are not full

time, we show that we can generate more accurate rankings than with a single, generic PageRank vector. For ordinary keyword search queries, we compute the topic-sensitive PageRank scores for pages satisfying the query using the topic of the query keywords. For searches done in context (e.g., when

Search Engines are used by people on a daily basis to retrieve information from the web. When an ambiguous word is present in a query, specific sense of the keyword is not considered during the search process. Search engines return a large amount of web pages as results from all the possible

that are relevant to a pre-defined set of topics. The topics are specified not using keywords, but using exemplary documents. Rather than collecting and indexing all accessible Web documents to be able to answer all possible ad-hoc queries, a focused crawler analyzes its crawl boundary to find the links

BANKS, a system which enables keyword-based search on relational databases, together with data and schema browsing. BANKS enables users to extract information in a simple manner without any knowledge of the schema or any need for writing complex queries. A user can get information by typing a few

This paper addresses a novel approach that integrates two different types of information resources: the World Wide Web and libraries. This approach is based on a hypothesis: advantages and disadvantages of the Web and libraries are complemental. The integration is based on correspondent conceptual label names between the Wikipedia categories and subject headings of library materials. The

language and is simple enough that it can be optimized. XML-QL can extract data from existing XML documents and construct new XML documents. Keywords: XML, query languages, electronic-data interchange (EDI) 1. Introduction The goal of XML is to provide many of SGML's benefits not available in HTML

DISCOVER operates on relational databases and facilitates information discovery on them by allowing its user to issue keyword queries without any knowledge of the database schema or of SQL.

experience with the design and implementation of a simple distributed multiplayer game built on top of this object management framework shows that indicates that this indeed is a useful building block for distributed applications. Keywords: Range queries, Peer-to-peer systems, Distributed applications