Comments in-line

Wolfgang Hoschek wrote:

Yes, there are interesting impls out there. I've myself implemented XQuery fulltext search via extension functions build on Lucene. See http://dsd.lbl.gov/nux/index.html#Google-like%20realtime%20fulltext% 20search%20via%20Apache%20Lucene%20engine

However, rather than targetting fulltext search of infrequent queries over huge persistent data archives (historic search), Nux targets streaming fulltext search of huge numbers of queries over comparatively small transient realtime data (prospective search), e.g. 100000 queries/sec ballpark. Think XML router. That's probably distinctly different than what many (most?) other folks would like to do, and requires a different, somewhat non-standard, architecture.

[The underlying lucene code lives in lucene SVN in the lucene/contrib/ memory module, the remainder is in Nux.]

Implementing XQuery in full compliance with the spec is a rather gigantic undertaking. Separating the XQuery language and the fulltext language greatly simplified the system design, and made it more flexible and extensible.

[JOAQUIN] One of the arguable advantage of this new XQuery FT draft is that the semantics (http://www.w3.org/TR/xquery-full-text/#tq-semantics) are defined using XQuery functions, thus it is relatively easy to build a "dumb" XQuery-FT compliant engine using these definitions :-) Here is a Java based XQuery engine developed in Cornell that satisfies most of the working draft's requirements:
http://www.cs.cornell.edu/database/Quark/quark_main.html

Further, consider that tulltext search capabilities are typically quite open ended and context/application specific. Seems to me that that's one of the reasons why lucene is more a set of interfaces and diverse building blocks than a complete end user system. I find it difficult to believe that making the fulltext language an *integral part of XQuery* will enable sufficient "extension points" to prove meaningful to end users and implementors. Standards evolve at a glacial pace; it effectively means that most or all flexibility is lost. I tend to think that the W3C is jumping the gun and attempting to standardize what is more an R&D concept than a well understood set of capabilities across a wide range of actual real world use cases, and it does so in a non-modular manner.

Full-text search remains open ended and context/app specific thus it makes sense to leave Lucene as is and still have, for example Nutch. However the moment you are promoting INTEROPERABILITY with other search/retrieval systems by XMLizing the query input and the result output, like Mark is, then it makes sense to adhere to standards and the standard to query XML is XQuery. Because of the nature of the data (XML) full-text becomes a *must* requirement of the standard. If Mark comes up with yet another query language with some custom tags it would be denying the fact that search systems need to communicate among them and thus re-inventing the wheel. Besides, almost 80% of all full-text operators (Boolean, wildcards, proximity, etc.) just differ in syntax from one search engine to another. Just look at another "Common Query Language" now being used by the Library of Congress (http://www.loc.gov/standards/sru/cql/) for federated search.

Maybe I'm being too ambitious here but if we have an implementation of XQuery-FT compliant XQuery engine on top of Lucene indices or at the minimum _Lucene could interpret XPath queries_ where element node labels are equivalent to Lucene fields we begin thinking of exposing Lucene sources to more sophisticated and distributed XQuery engines, thus providing full XML support on any Lucene based system. Unfortunately Lucene does not support nested fields but that is OK for now.

-- Joaquin


On Dec 17, 2005, at 5:43 PM, [EMAIL PROTECTED] wrote:

Paul and  Wolfang,

Thank you very much for your input. I think there are two distinct problems that have emerged from this thread: 1) The ability to create efficient structures to index and query XML documents (element, attributes and corresponding values) with a full-text query language and perforators. After all XML is text. As Paul pointed out people have already tried this with Lucene. 2) The need for a standard query language like XQuery aiming at system interoperability in the now XMLized world that has the same effect that SQL had in the relational world.

While I can see how in the SQL case extension functions can be used to implement full-text capabilities, in the XML case full-text is required to query and retrieve XML (sub-document) elements and attributes based on the free text (natural language) values AND also to query the strings that represent the structure itself. For example, in simple SQL queries the names of the tables and columns need to be known to project corresponding values and are not part of the search conditions (in WHERE clauses only values corresponding to table/columns are evaluated).

In XQuery both the structure and the content are searchable, thus requiring full-text operators. That is why XQuery Full-Text requires the unification and standardization both XQuery and Full- Text "languages". Needless is to say that the implementation will differ from system to system.

I do agree though that the abstraction of full-text capabilities through functional extensions is a great first step. Check out Oracle's XML Query Service (http://www.oracle.com/technology/tech/ xml/xds/index.html and , http://www.oracle.com/technology/oramag/ oracle/05-mar/o25xml.html) a Java based XQuery engine that has abstracted "data sources" such as Web Services, RDBMS, etc. as functions that while returning XML can receive parameters and supply full-text capabilities. If Mark's implementation of Lucene query and output in XML comes to fruition a Lucene data source will become yet another stream of XML that can be queried, processed and rendered by the mid-tier XQuery engine.

-- Joaquin



While maintaining my bookmarks I ran into this:
"Case Study: Enabling Low-Cost XML-Aware Searching
Capable of Complex Querying":
http://www.idealliance.org/papers/xmle02/dx_xmle02/papers/ 03-02-08/03-02-08.html

Some loose thoughts:

In the system described there a Lucene document is used for each
low level xml construct, even when it contains very few characters of text.
The resulting Lucene indexes are at least 2.5 times the size of the
original document, which is not a surprise given this document structure.
Normal index size is about one third of  the indexed text.

I don't know about the XQuery standard, but I was wondering
whether this unusual document structure and the non straightforward
fit between Lucene queries and XQuery queries are related.

As for the  joines and iterations over items from the stream of XML
results: iteration over matching XML constructs should be no problem
in Lucene. Joins in Lucene are normally done via boolean filters,
so I was wondering how XQuery joins fit these.
The case study above has a note a the end of par 5.3:
"The Search Result list that comes back could then be organized
by document id to group together all the results for a single XML
document. This is not provided by default, but has been done with
extension to this code."

Regards,
Paul Elschot

On Friday 16 December 2005 03:45, Wolfgang Hoschek wrote:

I think implementing an XQuery Full-Text engine is far beyond the
scope of Lucene.

Implementing a building block for the fulltext aspect of it would be
more manageable. Unfortunately The W3C fulltext drafts
indiscriminately mix and mingle two completely different languages
into a single language, without clear boundaries. That's why most
practical folks implement XQuery fulltext search via extension
functions rather than within XQuery itself. This also allows for much
more detailed tokenization, configuration and extensibility than what
would be possible with the W3C draft.

Wolfgang.

On Dec 15, 2005, at 4:20 PM, [EMAIL PROTECTED] wrote:


Mark,

This is very cool. When I was at TripleHop we did something very
similar where both query and results conformed to an XML Schema and
we used XML over HTTP as our main vehicle to do remote/federated
searches with quick rendering with stylesheets.

That however is the first piece of the puzzle. If you really want
to go beyond search (in the traditional sense) and be able to
perform more complex operations such as joines and iterations over
items from the stream of XML results you are getting you should
consider implementing an XQuery Full-Text engine with Lucene
adopting the now standard XQuery language.

Here is the pointer to the working draft on the W3C working draft
on XQuery 1.0 and XPath 2.0 Full-Text:
http://www.w3.org/TR/xquery-full-text/

Now I'm part of the task force editing this draft so your comments
are very much welcomed.

-- J.D.


http://www.inperspective.com/lucene/LXQueryV0_1.zip

I've implemented just a few queries (Boolean, Term, FilteredQuery,
BoostingQuery ...) but other queries are fairly trivial to add.
At this stage I am more interested in feedback on parser design/
approach
rather than trying to achieve complete coverage of all the Lucene
Query
types or debating the choice of tag names.

Please see the readme.txt in the package for more details.

Cheers
Mark



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While maintaining my bookmarks I ran into this:
"Case Study: Enabling Low-Cost XML-Aware Searching
Capable of Complex Querying":
http://www.idealliance.org/papers/xmle02/dx_xmle02/papers/ 03-02-08/03-02-08.html

Some loose thoughts:

In the system described there a Lucene document is used for each
low level xml construct, even when it contains very few characters of text.
The resulting Lucene indexes are at least 2.5 times the size of the
original document, which is not a surprise given this document structure.
Normal index size is about one third of  the indexed text.

I don't know about the XQuery standard, but I was wondering
whether this unusual document structure and the non straightforward
fit between Lucene queries and XQuery queries are related.

As for the  joines and iterations over items from the stream of XML
results: iteration over matching XML constructs should be no problem
in Lucene. Joins in Lucene are normally done via boolean filters,
so I was wondering how XQuery joins fit these.
The case study above has a note a the end of par 5.3:
"The Search Result list that comes back could then be organized
by document id to group together all the results for a single XML
document. This is not provided by default, but has been done with
extension to this code."

Regards,
Paul Elschot

On Friday 16 December 2005 03:45, Wolfgang Hoschek wrote:

I think implementing an XQuery Full-Text engine is far beyond the
scope of Lucene.

Implementing a building block for the fulltext aspect of it would be
more manageable. Unfortunately The W3C fulltext drafts
indiscriminately mix and mingle two completely different languages
into a single language, without clear boundaries. That's why most
practical folks implement XQuery fulltext search via extension
functions rather than within XQuery itself. This also allows for much
more detailed tokenization, configuration and extensibility than what
would be possible with the W3C draft.

Wolfgang.

On Dec 15, 2005, at 4:20 PM, [EMAIL PROTECTED] wrote:


Mark,

This is very cool. When I was at TripleHop we did something very
similar where both query and results conformed to an XML Schema and
we used XML over HTTP as our main vehicle to do remote/federated
searches with quick rendering with stylesheets.

That however is the first piece of the puzzle. If you really want
to go beyond search (in the traditional sense) and be able to
perform more complex operations such as joines and iterations over
items from the stream of XML results you are getting you should
consider implementing an XQuery Full-Text engine with Lucene
adopting the now standard XQuery language.

Here is the pointer to the working draft on the W3C working draft
on XQuery 1.0 and XPath 2.0 Full-Text:
http://www.w3.org/TR/xquery-full-text/

Now I'm part of the task force editing this draft so your comments
are very much welcomed.

-- J.D.


http://www.inperspective.com/lucene/LXQueryV0_1.zip

I've implemented just a few queries (Boolean, Term, FilteredQuery,
BoostingQuery ...) but other queries are fairly trivial to add.
At this stage I am more interested in feedback on parser design/
approach
rather than trying to achieve complete coverage of all the Lucene
Query
types or debating the choice of tag names.

Please see the readme.txt in the package for more details.

Cheers
Mark



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